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\n\n \n \n 2019\n \n \n (7)\n \n \n
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\n \n \n\n \n \n \n \n \n \n Remote sensing monitoring of a coastal-valley earthflow in northwestern Galicia, Spain.\n \n \n \n \n\n\n \n Horacio, J.; Muñoz-Narciso, E.; Trenhaile, A., S.; and Pérez-Alberti, A.\n\n\n \n\n\n\n Catena, 178(November 2018): 276-287. 2019.\n \n\n\n\n
\n\n\n\n \n \n![\"Remote](\"//bibbase.org/img/filetypes/link.svg\"\n\t "\\"Website\\"\n\t")
Website\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Remote sensing monitoring of a coastal-valley earthflow in northwestern Galicia, Spain},\n type = {article},\n year = {2019},\n keywords = {Coastal-valley,Earthflow,Galicia,LiDAR,SfM-photogrammetry,UAV},\n pages = {276-287},\n volume = {178},\n websites = {https://doi.org/10.1016/j.catena.2019.03.028},\n publisher = {Elsevier},\n id = {addab1cd-1b32-3040-8cca-ab4cd267df82},\n created = {2019-06-13T10:57:36.848Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-06-13T10:57:36.848Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Horacio2019},\n private_publication = {false},\n abstract = {Historical air photographs, LiDAR, and an unmanned aerial vehicle (UAV) were used to record the movement, from 1956 to 2018, of a clay and clast earthflow in a coastal valley in northwestern Spain. Two procedures were employed. The first tracked changes, in a GIS environment, in the location of eight, easily identified objects on the surface of the deposit (large boulders, topographic lobes, and the foundations of an old hut). The second used DEMs of Difference (DoDs) based on Digital Elevation Models from a 2011 LiDAR flight and two UAV flights in 2016 and 2018 obtained by Structure from Motion-Photogrammetry techniques. While the first procedure provided estimates for earthflow movement over a 62-year period, the second produced more precise data for periods of up to 8-years. The first procedure indicated that the mean rate of movement was 0.48 m·yr −1 , increasing from only 0.14 m·yr −1 from 1956 to 1983 to between 0.50 and 0.83 m·yr −1 from 1983 to 2018. Despite some temporal and spatial changes in direction, rates of surface movement were quite uniform on the deposit. The increase in earthflow movement after 1983 may be related to an increase in rainfall, although human activities associated with the removal of a wrecked ship from the nearshore may have been a contributing factor. The role of debuttressing due to the wave-induced removal of lateral support from the toe of the deposit is less clear. While there was no clear relationship between wave erosion and rates of movement, coastal retreat may have triggered changes in the direction and sediment flux in the toe of the deposit. This effect could have been tempered by negative feedback, however, whereby coastal erosion and increased flow activity were countered by the protection afforded by the accumulation of large, dislodged boulders on the beach. Because of this feedback, it is difficult to predict the impact of sea level rise and other elements of climate change along this coast.},\n bibtype = {article},\n author = {Horacio, Jesús and Muñoz-Narciso, Efrén and Trenhaile, Alan S. and Pérez-Alberti, Augusto},\n doi = {10.1016/j.catena.2019.03.028},\n journal = {Catena},\n number = {November 2018}\n}\n\n Historical air photographs, LiDAR, and an unmanned aerial vehicle (UAV) were used to record the movement, from 1956 to 2018, of a clay and clast earthflow in a coastal valley in northwestern Spain. Two procedures were employed. The first tracked changes, in a GIS environment, in the location of eight, easily identified objects on the surface of the deposit (large boulders, topographic lobes, and the foundations of an old hut). The second used DEMs of Difference (DoDs) based on Digital Elevation Models from a 2011 LiDAR flight and two UAV flights in 2016 and 2018 obtained by Structure from Motion-Photogrammetry techniques. While the first procedure provided estimates for earthflow movement over a 62-year period, the second produced more precise data for periods of up to 8-years. The first procedure indicated that the mean rate of movement was 0.48 m·yr −1 , increasing from only 0.14 m·yr −1 from 1956 to 1983 to between 0.50 and 0.83 m·yr −1 from 1983 to 2018. Despite some temporal and spatial changes in direction, rates of surface movement were quite uniform on the deposit. The increase in earthflow movement after 1983 may be related to an increase in rainfall, although human activities associated with the removal of a wrecked ship from the nearshore may have been a contributing factor. The role of debuttressing due to the wave-induced removal of lateral support from the toe of the deposit is less clear. While there was no clear relationship between wave erosion and rates of movement, coastal retreat may have triggered changes in the direction and sediment flux in the toe of the deposit. This effect could have been tempered by negative feedback, however, whereby coastal erosion and increased flow activity were countered by the protection afforded by the accumulation of large, dislodged boulders on the beach. Because of this feedback, it is difficult to predict the impact of sea level rise and other elements of climate change along this coast.\n
\n\n\n\n \n\n \n \n \n \n \n Low-Cost UAV for High-Resolution and Large-Scale Coastal Dune Change Monitoring Using Photogrammetry.\n \n \n \n\n\n \n Laporte-Fauret, Q.; Marieu, V.; Castelle, B.; Michalet, R.; Bujan, S.; and Rosebery, D.\n\n\n \n\n\n\n Journal of Marine Science and Engineering, 7(3): 63. 2019.\n \n\n\n\n
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\n\n\n@article{\n title = {Low-Cost UAV for High-Resolution and Large-Scale Coastal Dune Change Monitoring Using Photogrammetry},\n type = {article},\n year = {2019},\n keywords = {aeolian,coastal dune,digital surface model,erosion,low-cost survey,marine erosion,photogrammetry,unmanned aerial vehicle},\n pages = {63},\n volume = {7},\n id = {5d0e1f85-ac1c-38ec-87b2-2062bc18ee0c},\n created = {2019-07-01T14:27:58.668Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T14:27:58.668Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Laporte-Fauret2019},\n private_publication = {false},\n abstract = {In this paper, coastal dune data are collected at Truc Vert, SW France, using photogrammetry via Unmanned Aerial Vehicles (UAVs). A low-cost GoPro-equipped DJI Phantom 2 quadcopter and a 20 MPix camera-equipped DJI Phantom 4 Pro quadcopter UAVs were used to remotely sense the coastal dune morphology over large spatial scales (4 km alongshore, i.e., approximately 1 km2 of beach-dune system), within a short time (less than 2 h of flight). The primary objective of this paper is to propose a low-cost and replicable approach which, combined with simple and efficient permanent Ground Control Point (GCP) set-up, can be applied to routinely survey upper beach and coastal dune morphological changes at high frequency (after each storm) and high resolution (0.1 m). Results show that a high-resolution and accurate Digital Surface Model (DSM) can be inferred with both UAVs if enough permanent GCPs are implemented. The more recent DJI Phantom 4 gives substantially more accurate DSM with a root-mean-square vertical error and bias of 0.05 m and −0.03 m, respectively, while the DSM inferred from the DJI Phantom 2 still largely meets the standard for coastal monitoring. The automatic flight plan procedure allows replicable surveys to address large-scale morphological evolution at high temporal resolution (e.g., weeks, months), providing unprecedented insight into the coastal dune evolution driven by marine and aeolian processes. The detailed morphological evolution of a 4-km section of beach-dune system is analyzed over a 6-month winter period, showing highly alongshore variable beach and incipient foredune wave-driven erosion, together with wind-driven inland migration of the established foredune by a few meters, and alongshore-variable sand deposition on the grey dune. In a context of widespread erosion, this photogrammetry approach via low-cost flexible and lightweight UAVs is well adapted for coastal research groups and coastal dune management stakeholders, including in developing countries where data are lacking.},\n bibtype = {article},\n author = {Laporte-Fauret, Quentin and Marieu, Vincent and Castelle, Bruno and Michalet, Richard and Bujan, Stéphane and Rosebery, David},\n doi = {10.3390/jmse7030063},\n journal = {Journal of Marine Science and Engineering},\n number = {3}\n}\n\n In this paper, coastal dune data are collected at Truc Vert, SW France, using photogrammetry via Unmanned Aerial Vehicles (UAVs). A low-cost GoPro-equipped DJI Phantom 2 quadcopter and a 20 MPix camera-equipped DJI Phantom 4 Pro quadcopter UAVs were used to remotely sense the coastal dune morphology over large spatial scales (4 km alongshore, i.e., approximately 1 km2 of beach-dune system), within a short time (less than 2 h of flight). The primary objective of this paper is to propose a low-cost and replicable approach which, combined with simple and efficient permanent Ground Control Point (GCP) set-up, can be applied to routinely survey upper beach and coastal dune morphological changes at high frequency (after each storm) and high resolution (0.1 m). Results show that a high-resolution and accurate Digital Surface Model (DSM) can be inferred with both UAVs if enough permanent GCPs are implemented. The more recent DJI Phantom 4 gives substantially more accurate DSM with a root-mean-square vertical error and bias of 0.05 m and −0.03 m, respectively, while the DSM inferred from the DJI Phantom 2 still largely meets the standard for coastal monitoring. The automatic flight plan procedure allows replicable surveys to address large-scale morphological evolution at high temporal resolution (e.g., weeks, months), providing unprecedented insight into the coastal dune evolution driven by marine and aeolian processes. The detailed morphological evolution of a 4-km section of beach-dune system is analyzed over a 6-month winter period, showing highly alongshore variable beach and incipient foredune wave-driven erosion, together with wind-driven inland migration of the established foredune by a few meters, and alongshore-variable sand deposition on the grey dune. In a context of widespread erosion, this photogrammetry approach via low-cost flexible and lightweight UAVs is well adapted for coastal research groups and coastal dune management stakeholders, including in developing countries where data are lacking.\n
\n\n\n\n \n\n \n \n \n \n \n Assessing Reef-Island Shoreline Change Using UAV-Derived Orthomosaics and Digital Surface Models.\n \n \n \n\n\n \n Lowe, M., K.; Adnan, F., A., F.; Hamylton, S., M.; Carvalho, R., C.; and Woodroffe, C., D.\n\n\n \n\n\n\n Drones, 3(2): 44. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n\n\n \n\n\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
\n\n\n@article{\n title = {Assessing Reef-Island Shoreline Change Using UAV-Derived Orthomosaics and Digital Surface Models},\n type = {article},\n year = {2019},\n keywords = {drones,geomorphic change,reef islands,structure-from-motion,uavs,vulnerability},\n pages = {44},\n volume = {3},\n id = {c19312a1-c551-3b4d-896f-9803158f5e58},\n created = {2019-07-01T16:02:34.571Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.571Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Lowe2019},\n private_publication = {false},\n abstract = {This study presents an analysis of shoreline change on reef islands using unmanned aerial vehicle (UAV)-derived orthomosaics and digital surface models (DSMs) collected on Sipadan Island, Sabah, Malaysia, and Sasahura Ite Island, Isabel Province, Solomon Islands. The high resolution of UAV-derived orthomosaics enabled changes in the position of the base of beach to be detected with confidence. The accuracy of the UAV-derived DSMs was assessed against equivalent topographic profiles via root-mean-square error, and found to be <0.21 m in all but one case; this demonstrates the potential for using UAV-derived DSMs to interpret three-dimensional island beach morphology and detect patterns of geomorphic change. The correlation between planimetric and volumetric change along selected beach transects was also investigated and found to be variable, indicating that a multifaceted approach including both planimetric (two-dimensional) and volumetric (three-dimensional) metrics is of value when analysing reef-island change. However, interpretations of UAV-derived data must carefully consider errors associated with global positioning system (GPS) positioning, the distribution of ground control points, the chosen UAV flight parameters, and the data processing methodology. Further application of this technology has the potential to expand our understanding of reef-island morphodynamics and their vulnerability to sea-level rise and other stressors.},\n bibtype = {article},\n author = {Lowe, Meagan K. and Adnan, Farrah Anis Fazliatul and Hamylton, Sarah M. and Carvalho, Rafael C. and Woodroffe, Colin D.},\n doi = {10.3390/drones3020044},\n journal = {Drones},\n number = {2}\n}\n\n This study presents an analysis of shoreline change on reef islands using unmanned aerial vehicle (UAV)-derived orthomosaics and digital surface models (DSMs) collected on Sipadan Island, Sabah, Malaysia, and Sasahura Ite Island, Isabel Province, Solomon Islands. The high resolution of UAV-derived orthomosaics enabled changes in the position of the base of beach to be detected with confidence. The accuracy of the UAV-derived DSMs was assessed against equivalent topographic profiles via root-mean-square error, and found to be <0.21 m in all but one case; this demonstrates the potential for using UAV-derived DSMs to interpret three-dimensional island beach morphology and detect patterns of geomorphic change. The correlation between planimetric and volumetric change along selected beach transects was also investigated and found to be variable, indicating that a multifaceted approach including both planimetric (two-dimensional) and volumetric (three-dimensional) metrics is of value when analysing reef-island change. However, interpretations of UAV-derived data must carefully consider errors associated with global positioning system (GPS) positioning, the distribution of ground control points, the chosen UAV flight parameters, and the data processing methodology. Further application of this technology has the potential to expand our understanding of reef-island morphodynamics and their vulnerability to sea-level rise and other stressors.\n
\n\n\n\n \n\n \n \n \n \n \n Low-Cost UAV for High-Resolution and Large-Scale Coastal Dune Change Monitoring Using Photogrammetry.\n \n \n \n\n\n \n Laporte-Fauret, Q.; Marieu, V.; Castelle, B.; Michalet, R.; Bujan, S.; and Rosebery, D.\n\n\n \n\n\n\n Journal of Marine Science and Engineering, 7(3): 63. 2019.\n \n\n\n\n
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\n
\n\n\n@article{\n title = {Low-Cost UAV for High-Resolution and Large-Scale Coastal Dune Change Monitoring Using Photogrammetry},\n type = {article},\n year = {2019},\n keywords = {aeolian,coastal dune,digital surface model,erosion,low-cost survey,marine erosion,photogrammetry,unmanned aerial vehicle},\n pages = {63},\n volume = {7},\n id = {ee16e764-b3bd-3210-90ad-26232f2bd0ef},\n created = {2019-07-01T16:02:34.573Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.573Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Laporte-Fauret2019a},\n private_publication = {false},\n abstract = {In this paper, coastal dune data are collected at Truc Vert, SW France, using photogrammetry via Unmanned Aerial Vehicles (UAVs). A low-cost GoPro-equipped DJI Phantom 2 quadcopter and a 20 MPix camera-equipped DJI Phantom 4 Pro quadcopter UAVs were used to remotely sense the coastal dune morphology over large spatial scales (4 km alongshore, i.e., approximately 1 km2 of beach-dune system), within a short time (less than 2 h of flight). The primary objective of this paper is to propose a low-cost and replicable approach which, combined with simple and efficient permanent Ground Control Point (GCP) set-up, can be applied to routinely survey upper beach and coastal dune morphological changes at high frequency (after each storm) and high resolution (0.1 m). Results show that a high-resolution and accurate Digital Surface Model (DSM) can be inferred with both UAVs if enough permanent GCPs are implemented. The more recent DJI Phantom 4 gives substantially more accurate DSM with a root-mean-square vertical error and bias of 0.05 m and −0.03 m, respectively, while the DSM inferred from the DJI Phantom 2 still largely meets the standard for coastal monitoring. The automatic flight plan procedure allows replicable surveys to address large-scale morphological evolution at high temporal resolution (e.g., weeks, months), providing unprecedented insight into the coastal dune evolution driven by marine and aeolian processes. The detailed morphological evolution of a 4-km section of beach-dune system is analyzed over a 6-month winter period, showing highly alongshore variable beach and incipient foredune wave-driven erosion, together with wind-driven inland migration of the established foredune by a few meters, and alongshore-variable sand deposition on the grey dune. In a context of widespread erosion, this photogrammetry approach via low-cost flexible and lightweight UAVs is well adapted for coastal research groups and coastal dune management stakeholders, including in developing countries where data are lacking.},\n bibtype = {article},\n author = {Laporte-Fauret, Quentin and Marieu, Vincent and Castelle, Bruno and Michalet, Richard and Bujan, Stéphane and Rosebery, David},\n doi = {10.3390/jmse7030063},\n journal = {Journal of Marine Science and Engineering},\n number = {3}\n}\n\n In this paper, coastal dune data are collected at Truc Vert, SW France, using photogrammetry via Unmanned Aerial Vehicles (UAVs). A low-cost GoPro-equipped DJI Phantom 2 quadcopter and a 20 MPix camera-equipped DJI Phantom 4 Pro quadcopter UAVs were used to remotely sense the coastal dune morphology over large spatial scales (4 km alongshore, i.e., approximately 1 km2 of beach-dune system), within a short time (less than 2 h of flight). The primary objective of this paper is to propose a low-cost and replicable approach which, combined with simple and efficient permanent Ground Control Point (GCP) set-up, can be applied to routinely survey upper beach and coastal dune morphological changes at high frequency (after each storm) and high resolution (0.1 m). Results show that a high-resolution and accurate Digital Surface Model (DSM) can be inferred with both UAVs if enough permanent GCPs are implemented. The more recent DJI Phantom 4 gives substantially more accurate DSM with a root-mean-square vertical error and bias of 0.05 m and −0.03 m, respectively, while the DSM inferred from the DJI Phantom 2 still largely meets the standard for coastal monitoring. The automatic flight plan procedure allows replicable surveys to address large-scale morphological evolution at high temporal resolution (e.g., weeks, months), providing unprecedented insight into the coastal dune evolution driven by marine and aeolian processes. The detailed morphological evolution of a 4-km section of beach-dune system is analyzed over a 6-month winter period, showing highly alongshore variable beach and incipient foredune wave-driven erosion, together with wind-driven inland migration of the established foredune by a few meters, and alongshore-variable sand deposition on the grey dune. In a context of widespread erosion, this photogrammetry approach via low-cost flexible and lightweight UAVs is well adapted for coastal research groups and coastal dune management stakeholders, including in developing countries where data are lacking.\n
\n\n\n\n \n\n \n \n \n \n \n Morphodynamic response to low-crested detached breakwaters on a sea breeze-dominated coast.\n \n \n \n\n\n \n Torres-Freyermuth, A.; Medellín, G.; Mendoza, E., T.; Ojeda, E.; and Salles, P.\n\n\n \n\n\n\n Water (Switzerland), 11(4). 2019.\n \n\n\n\n
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\n\n\n@article{\n title = {Morphodynamic response to low-crested detached breakwaters on a sea breeze-dominated coast},\n type = {article},\n year = {2019},\n keywords = {Beach morphodynamics,Beach surveys,Reef Balls™,Sand-filled geosystems,UAV flights},\n volume = {11},\n id = {e7f5a74c-66ae-300c-8c02-081145b65dc0},\n created = {2019-07-01T16:02:34.682Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.682Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Torres-Freyermuth2019},\n private_publication = {false},\n abstract = {Low-crested detached breakwaters (LCDBs) have been widely employed as a mitigation measure against beach erosion. However, only a few studies have assessed their performance in sea-breeze-dominated environments. This work investigates the beach morphodynamics behind LCDBs deployed on a micro-tidal sea-breeze-dominated beach. The study area, located in the northern Yucatán peninsula, is characterized by low-energy, high-angle waves, which drive a persistent (westward) alongshore sediment transport (O(104) m3/year). High-resolution real-time kinematics global positioning system (GPS) beach surveys were conducted over a one-year period (2017–2018) to investigate the performance of LCDBs at three sites. Moreover, unmanned aerial vehicle flights were employed to evaluate far-field shoreline stability. Field observations revealed a distinct behavior in the three study sites, dependent on the breakwaters’ transmission characteristics, geometry, stability, and shoreline orientation. Impermeable LCDBs, made of sand-filled geosystems, induced significant beach accretion (erosion) in up-(down-)drift areas. On the other hand, permeable LCDBs, made of Reef Ball™ modules, induced moderate beach changes and small erosion in down-drift areas owing to higher transmission coefficients. Measurements of LCDBs’ freeboard height show that sand-filled geosystems’ breakwaters presented a significant loss of sand during the study period, which explains the unexpected beach morphodynamic response on the lee side of the structure. Observations suggest that the study area is highly sensitive to the presence of LCDBs with low transmissivity.},\n bibtype = {article},\n author = {Torres-Freyermuth, Alec and Medellín, Gabriela and Mendoza, Ernesto Tonatiuh and Ojeda, Elena and Salles, Paulo},\n doi = {10.3390/w11040635},\n journal = {Water (Switzerland)},\n number = {4}\n}\n\n Low-crested detached breakwaters (LCDBs) have been widely employed as a mitigation measure against beach erosion. However, only a few studies have assessed their performance in sea-breeze-dominated environments. This work investigates the beach morphodynamics behind LCDBs deployed on a micro-tidal sea-breeze-dominated beach. The study area, located in the northern Yucatán peninsula, is characterized by low-energy, high-angle waves, which drive a persistent (westward) alongshore sediment transport (O(104) m3/year). High-resolution real-time kinematics global positioning system (GPS) beach surveys were conducted over a one-year period (2017–2018) to investigate the performance of LCDBs at three sites. Moreover, unmanned aerial vehicle flights were employed to evaluate far-field shoreline stability. Field observations revealed a distinct behavior in the three study sites, dependent on the breakwaters’ transmission characteristics, geometry, stability, and shoreline orientation. Impermeable LCDBs, made of sand-filled geosystems, induced significant beach accretion (erosion) in up-(down-)drift areas. On the other hand, permeable LCDBs, made of Reef Ball™ modules, induced moderate beach changes and small erosion in down-drift areas owing to higher transmission coefficients. Measurements of LCDBs’ freeboard height show that sand-filled geosystems’ breakwaters presented a significant loss of sand during the study period, which explains the unexpected beach morphodynamic response on the lee side of the structure. Observations suggest that the study area is highly sensitive to the presence of LCDBs with low transmissivity.\n
\n\n\n\n \n\n \n \n \n \n \n UAVs for structure-from-motion coastal monitoring: A case study to assess the evolution of embryo dunes over a two-year time frame in the po river delta, Italy.\n \n \n \n\n\n \n Taddia, Y.; Corbau, C.; Zambello, E.; and Pellegrinelli, A.\n\n\n \n\n\n\n Sensors (Switzerland), 19(7). 2019.\n \n\n\n\n
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\n\n\n@article{\n title = {UAVs for structure-from-motion coastal monitoring: A case study to assess the evolution of embryo dunes over a two-year time frame in the po river delta, Italy},\n type = {article},\n year = {2019},\n keywords = {Coastal mapping,Coastal monitoring,Digital Elevation Models (DEMs),Geomorphological evolution,Photogrammetry,Structure-from-Motion (SfM),Unmanned Aerial Vehicles (UAVs)},\n volume = {19},\n id = {cd57b4bd-7995-30d9-8937-76ffafccaada},\n created = {2019-07-01T16:02:34.917Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.917Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Taddia2019},\n private_publication = {false},\n abstract = {Coastal environments are usually characterized by a brittle balance, especially in terms of sediment transportation. The formation of dunes, as well as their sudden destruction as a result of violent storms, affects this balance in a significant way. Moreover, the growth of vegetation on the top of the dunes strongly influences the consequent growth of the dunes themselves. This work presents the results obtained through a long-term monitoring of a complex dune system by the use of Unmanned Aerial Vehicles (UAVs). Six different surveys were carried out between November 2015 and December 2017 in the littoral of Rosolina Mare (Italy). Aerial photogrammetric data were acquired during flight repetitions by using a DJI Phantom 3 Professional with the camera in a nadiral arrangement. The processing of the captured images consisted of the reconstruction of a three-dimensional model using the Structure-from-Motion (SfM). Each model was framed in the European Terrestrial Reference System (ETRS) using GNSS geodetic receivers in Network Real Time Kinematic (NRTK). Specific data management was necessary due to the vegetation by filtering the dense cloud. This task was performed by both performing a slope detection and a removal of the residual outliers. The final products of this approach were thus represented by Digital Elevation Models (DEMs) of the sandy coastal section. In addition, DEMs of Difference (DoD) were also computed for the purpose of monitoring over time and detecting variations. The accuracy assessment of the DEMs was carried out by an elevation comparison through especially GNSS-surveyed points. Relevant cross sections were also extracted and compared. The use of the Structure-from-Motion approach by UAVs finally proved to be both reliable and time-saving thanks to quicker in situ operations for the data acquisition and an accurate reconstruction of high-resolution elevation models. The low cost of the system and its flexibility represent additional strengths, making this technique highly competitive with traditional ones.},\n bibtype = {article},\n author = {Taddia, Yuri and Corbau, Corinne and Zambello, Elena and Pellegrinelli, Alberto},\n doi = {10.3390/s19071717},\n journal = {Sensors (Switzerland)},\n number = {7}\n}\n\n Coastal environments are usually characterized by a brittle balance, especially in terms of sediment transportation. The formation of dunes, as well as their sudden destruction as a result of violent storms, affects this balance in a significant way. Moreover, the growth of vegetation on the top of the dunes strongly influences the consequent growth of the dunes themselves. This work presents the results obtained through a long-term monitoring of a complex dune system by the use of Unmanned Aerial Vehicles (UAVs). Six different surveys were carried out between November 2015 and December 2017 in the littoral of Rosolina Mare (Italy). Aerial photogrammetric data were acquired during flight repetitions by using a DJI Phantom 3 Professional with the camera in a nadiral arrangement. The processing of the captured images consisted of the reconstruction of a three-dimensional model using the Structure-from-Motion (SfM). Each model was framed in the European Terrestrial Reference System (ETRS) using GNSS geodetic receivers in Network Real Time Kinematic (NRTK). Specific data management was necessary due to the vegetation by filtering the dense cloud. This task was performed by both performing a slope detection and a removal of the residual outliers. The final products of this approach were thus represented by Digital Elevation Models (DEMs) of the sandy coastal section. In addition, DEMs of Difference (DoD) were also computed for the purpose of monitoring over time and detecting variations. The accuracy assessment of the DEMs was carried out by an elevation comparison through especially GNSS-surveyed points. Relevant cross sections were also extracted and compared. The use of the Structure-from-Motion approach by UAVs finally proved to be both reliable and time-saving thanks to quicker in situ operations for the data acquisition and an accurate reconstruction of high-resolution elevation models. The low cost of the system and its flexibility represent additional strengths, making this technique highly competitive with traditional ones.\n
\n\n\n\n \n\n \n \n \n \n \n \n 3D mapping efficacy of a drone and terrestrial laser scanner over a temperate beach-dune zone.\n \n \n \n \n\n\n \n Guisado-Pintado, E.; Jackson, D., W.; and Rogers, D.\n\n\n \n\n\n\n Geomorphology, 328: 157-172. 2019.\n \n\n\n\n
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\n\n\n@article{\n title = {3D mapping efficacy of a drone and terrestrial laser scanner over a temperate beach-dune zone},\n type = {article},\n year = {2019},\n keywords = {Beach morphologies,DEMs,Structure from Motion,TLS,Temperate regions,UAV},\n pages = {157-172},\n volume = {328},\n websites = {https://doi.org/10.1016/j.geomorph.2018.12.013},\n publisher = {Elsevier B.V.},\n id = {ef888b38-cf79-3c59-b450-def6310beb37},\n created = {2019-07-05T13:44:32.986Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.986Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Guisado-Pintado2019},\n private_publication = {false},\n abstract = {Understanding dynamic earth surface processes requires various spatial and temporal information to help produce patterns of landform change. Recent developments in sensor technology such as Structure from Motion (SfM), camera-mounted airborne Unmanned Aerial Vehicles (UAVs) and Terrestrial Laser Scanning (TLS) have provided a means of acquiring high-resolution spatial data on land surface topography. Through repeat surveys, these techniques enable much better understanding of what is termed ‘geomorphometry’, where we can examine a geomorphic surface for change over space and time. In coastal environments, change can involve significant alteration and generation of landforms over relatively short periods and, therefore, we require a means of measuring surface morphology quickly and over large areas. Here, we examine a section of a beach-dune system in NW Ireland using SfM-UAV and TLS plus baseline dGPS data points to assess the value of these techniques and to understand their effectiveness (and limitations). Issues such as accuracy, resolution and differences of Digital Elevation Models (DEMs) are assessed for their efficiency, associated challenges and relative performance over variations in terrain types and analytical approaches. We also examine the implications for differences in areal and volume calculations of the coastal landforms using both approaches. We find that sensor performance is highly dependent on the terrain being measured, with undulations, slope, vegetation cover, acquisition resolution (point density) and interpolation issues all having pronounced impacts on effectiveness and data quality. In general, the TLS performed better over flatter, low-angled topography containing sparse/non-vegetated areas than in areas with complex landforms where survey shadows appear to compromise final DEMs. The SfM-UAV shows good performance over different terrains with the exception of relatively flat, featureless areas such as sandy beaches and densely-vegetated surfaces where differences between techniques are >1 m. Data acquisition however is much (×30) faster using a SfM-UAV with more extensive survey areas covered than using a TLS.},\n bibtype = {article},\n author = {Guisado-Pintado, Emilia and Jackson, Derek W.T. and Rogers, David},\n doi = {10.1016/j.geomorph.2018.12.013},\n journal = {Geomorphology}\n}\n\n Understanding dynamic earth surface processes requires various spatial and temporal information to help produce patterns of landform change. Recent developments in sensor technology such as Structure from Motion (SfM), camera-mounted airborne Unmanned Aerial Vehicles (UAVs) and Terrestrial Laser Scanning (TLS) have provided a means of acquiring high-resolution spatial data on land surface topography. Through repeat surveys, these techniques enable much better understanding of what is termed ‘geomorphometry’, where we can examine a geomorphic surface for change over space and time. In coastal environments, change can involve significant alteration and generation of landforms over relatively short periods and, therefore, we require a means of measuring surface morphology quickly and over large areas. Here, we examine a section of a beach-dune system in NW Ireland using SfM-UAV and TLS plus baseline dGPS data points to assess the value of these techniques and to understand their effectiveness (and limitations). Issues such as accuracy, resolution and differences of Digital Elevation Models (DEMs) are assessed for their efficiency, associated challenges and relative performance over variations in terrain types and analytical approaches. We also examine the implications for differences in areal and volume calculations of the coastal landforms using both approaches. We find that sensor performance is highly dependent on the terrain being measured, with undulations, slope, vegetation cover, acquisition resolution (point density) and interpolation issues all having pronounced impacts on effectiveness and data quality. In general, the TLS performed better over flatter, low-angled topography containing sparse/non-vegetated areas than in areas with complex landforms where survey shadows appear to compromise final DEMs. The SfM-UAV shows good performance over different terrains with the exception of relatively flat, featureless areas such as sandy beaches and densely-vegetated surfaces where differences between techniques are >1 m. Data acquisition however is much (×30) faster using a SfM-UAV with more extensive survey areas covered than using a TLS.\n
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\n \n \n\n \n \n \n \n \n \n Very high resolution mapping of coral reef state using airborne bathymetric LiDAR surface-intensity and drone imagery.\n \n \n \n \n\n\n \n Collin, A.; Ramambason, C.; Pastol, Y.; Casella, E.; Rovere, A.; Thiault, L.; Espiau, B.; Siu, G.; Lerouvreur, F.; Nakamura, N.; Hench, J., L.; Schmitt, R., J.; Holbrook, S., J.; Troyer, M.; and Davies, N.\n\n\n \n\n\n\n International Journal of Remote Sensing, 00(00): 1-13. 2018.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Very high resolution mapping of coral reef state using airborne bathymetric LiDAR surface-intensity and drone imagery},\n type = {article},\n year = {2018},\n pages = {1-13},\n volume = {00},\n websites = {https://www.tandfonline.com/doi/full/10.1080/01431161.2018.1500072},\n publisher = {Taylor & Francis},\n id = {26e5c6a9-4682-3df6-bdcc-7b737e05a9c6},\n created = {2018-07-24T13:00:23.051Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.540Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Collin2018b},\n private_publication = {false},\n bibtype = {article},\n author = {Collin, Antoine and Ramambason, Camille and Pastol, Yves and Casella, Elisa and Rovere, Alessio and Thiault, Lauric and Espiau, Benoît and Siu, Gilles and Lerouvreur, Franck and Nakamura, Nao and Hench, James L. and Schmitt, Russell J. and Holbrook, Sally J. and Troyer, Matthias and Davies, Neil},\n doi = {10.1080/01431161.2018.1500072},\n journal = {International Journal of Remote Sensing},\n number = {00}\n}\n\n \n\n \n \n \n \n \n \n High-resolution monitoring of - Beach topography and its change using unmanned aerial vehicle imagery.\n \n \n \n \n\n\n \n Chen, B.; Yang, Y.; Wen, H.; Ruan, H.; Zhou, Z.; Luo, K.; and Zhong, F.\n\n\n \n\n\n\n Ocean and Coastal Management, 160(February): 103-116. 2018.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {High-resolution monitoring of - Beach topography and its change using unmanned aerial vehicle imagery},\n type = {article},\n year = {2018},\n keywords = {Beach,Digital surface model,Remote sensing,Topographic monitoring,UAV},\n pages = {103-116},\n volume = {160},\n websites = {https://doi.org/10.1016/j.ocecoaman.2018.04.007},\n publisher = {Elsevier},\n id = {6b887156-e3ee-3a0a-a7e7-a7c6f78e6129},\n created = {2019-06-13T10:57:36.745Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-06-13T10:57:36.745Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Chen2018},\n private_publication = {false},\n abstract = {Beaches suffer from considerable degradation due to the dual influences from natural and human-induced factors. Higher resolution topographic data are frequently needed for assessment of the rapid changes and for building the models that can predict the evolution of these natural environments. In this paper, a low-altitude quad-rotor unmanned aerial vehicle (UAV), equipped with a non-metric camera, was used to acquire the two periods of UAV images in a complex beach of Wujiao Bay where the significant geomorphic changes occurred mainly due to the strong scouring of the drainage gullies. A detailed practical technique workflow was presented for deploying the low-altitude UAV for high-resolution monitoring the topography and the changes of the beach. The high resolution orthomosaic with geo-reference accuracy less than 1 pixel and the Digital Surface Model data with high vertical accuracy of approximately 10 cm were achieved by applying the UAV photogrammetry process based on Structure from Motion method to numerous overlapped UAV images. These data were further applied to the topographic change monitoring and analysis of the beach. This study greatly enhanced the applicability of the UAV remote sensing and enriched the existing tools for the high resolution topographic survey and geomorphic change detection in the complex beach.},\n bibtype = {article},\n author = {Chen, Benqing and Yang, Yanming and Wen, Hongtao and Ruan, Hailin and Zhou, Zaiming and Luo, Kai and Zhong, Fuhuang},\n doi = {10.1016/j.ocecoaman.2018.04.007},\n journal = {Ocean and Coastal Management},\n number = {February}\n}\n\n Beaches suffer from considerable degradation due to the dual influences from natural and human-induced factors. Higher resolution topographic data are frequently needed for assessment of the rapid changes and for building the models that can predict the evolution of these natural environments. In this paper, a low-altitude quad-rotor unmanned aerial vehicle (UAV), equipped with a non-metric camera, was used to acquire the two periods of UAV images in a complex beach of Wujiao Bay where the significant geomorphic changes occurred mainly due to the strong scouring of the drainage gullies. A detailed practical technique workflow was presented for deploying the low-altitude UAV for high-resolution monitoring the topography and the changes of the beach. The high resolution orthomosaic with geo-reference accuracy less than 1 pixel and the Digital Surface Model data with high vertical accuracy of approximately 10 cm were achieved by applying the UAV photogrammetry process based on Structure from Motion method to numerous overlapped UAV images. These data were further applied to the topographic change monitoring and analysis of the beach. This study greatly enhanced the applicability of the UAV remote sensing and enriched the existing tools for the high resolution topographic survey and geomorphic change detection in the complex beach.\n
\n\n\n\n \n\n \n \n \n \n \n \n Coastal dune dynamics in response to excavated foredune notches.\n \n \n \n \n\n\n \n Ruessink, B., G.; Arens, S., M.; Kuipers, M.; and Donker, J., J.\n\n\n \n\n\n\n Aeolian Research, 31: 3-17. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {Coastal dune dynamics in response to excavated foredune notches},\n type = {article},\n year = {2018},\n keywords = {Airborne Lidar,Coastal dunes,Dune restoration,Foredune notches,Topographic surveys,Unmanned Aerial Vehicle},\n pages = {3-17},\n volume = {31},\n websites = {https://doi.org/10.1016/j.aeolia.2017.07.002},\n publisher = {Elsevier B.V.},\n id = {24ba75e6-15d8-3171-89a9-195da7e43edb},\n created = {2019-06-13T10:57:36.802Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-06-13T10:57:36.802Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Ruessink2018},\n private_publication = {false},\n abstract = {Dune management along developed coasts has traditionally focussed on the suppression of the geomorphic dynamics of the foredune to improve its role in sea defence. Because a stabilized foredune acts as an almost total barrier to aeolian transport from the beach, the habitat diversity in the more landward dunes has degraded. With the overarching objective to mitigate this undesirable loss in biodiversity, dune management projects nowadays increasingly intend to restore aeolian dynamics by reconnecting the beach-dune system with notches excavated through the foredune. Here, we use repeat topographic survey data to examine the geomorphic response of a coastal dune system in the Dutch National Park Zuid-Kennemerland to five notches excavated in 2012–2013 within an 850-m stretch of the 20-m high established foredune. The notches were dug in a V-shape (viewed onshore), with a width between approximately 50 and 100 m at the top, a (cross-dune) length between 100 and 200 m, and excavation depths between 9 and 12.5 m. The 1 × 1 m digital terrain models, acquired with airborne Lidar and UAV photogrammetry, illustrate that during the 3-year survey period the notches developed into a U-shape because of wall deflation, and that up to 8-m thick and 150-m long depositional lobes formed landward of the notches. Sand budget computations showed that the sand volume of the entire study area increased by about 22,750 m 3 /year, which, given the 850-m width of the study area, corresponds to an aeolian input from the beach of approximately 26.5 m 3 /m/year. Between 2006 and 2012 all wind-blown beach sand deposited on the seaward side of the foredune; since 2013, the notches have caused 75% of the sand to be deposited landward of the foredune. This highlights that the notches are highly effective conduits for aeolian transport into the back dunes. Future monitoring is required to determine for how long the notches will stimulate aeolian dynamics and if (and when) vegetation eventually starts to regrow and enforces the degeneration of the notches.},\n bibtype = {article},\n author = {Ruessink, B. G. and Arens, S. M. and Kuipers, M. and Donker, J. J.A.},\n doi = {10.1016/j.aeolia.2017.07.002},\n journal = {Aeolian Research}\n}\n\n Dune management along developed coasts has traditionally focussed on the suppression of the geomorphic dynamics of the foredune to improve its role in sea defence. Because a stabilized foredune acts as an almost total barrier to aeolian transport from the beach, the habitat diversity in the more landward dunes has degraded. With the overarching objective to mitigate this undesirable loss in biodiversity, dune management projects nowadays increasingly intend to restore aeolian dynamics by reconnecting the beach-dune system with notches excavated through the foredune. Here, we use repeat topographic survey data to examine the geomorphic response of a coastal dune system in the Dutch National Park Zuid-Kennemerland to five notches excavated in 2012–2013 within an 850-m stretch of the 20-m high established foredune. The notches were dug in a V-shape (viewed onshore), with a width between approximately 50 and 100 m at the top, a (cross-dune) length between 100 and 200 m, and excavation depths between 9 and 12.5 m. The 1 × 1 m digital terrain models, acquired with airborne Lidar and UAV photogrammetry, illustrate that during the 3-year survey period the notches developed into a U-shape because of wall deflation, and that up to 8-m thick and 150-m long depositional lobes formed landward of the notches. Sand budget computations showed that the sand volume of the entire study area increased by about 22,750 m 3 /year, which, given the 850-m width of the study area, corresponds to an aeolian input from the beach of approximately 26.5 m 3 /m/year. Between 2006 and 2012 all wind-blown beach sand deposited on the seaward side of the foredune; since 2013, the notches have caused 75% of the sand to be deposited landward of the foredune. This highlights that the notches are highly effective conduits for aeolian transport into the back dunes. Future monitoring is required to determine for how long the notches will stimulate aeolian dynamics and if (and when) vegetation eventually starts to regrow and enforces the degeneration of the notches.\n
\n\n\n\n \n\n \n \n \n \n \n \n Accuracy and effectiveness of low cost UASs and open source photogrammetric software for foredunes mapping.\n \n \n \n \n\n\n \n Gonçalves, G., R.; Pérez, J., A.; and Duarte, J.\n\n\n \n\n\n\n International Journal of Remote Sensing, 39(15-16): 5059-5077. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {Accuracy and effectiveness of low cost UASs and open source photogrammetric software for foredunes mapping},\n type = {article},\n year = {2018},\n pages = {5059-5077},\n volume = {39},\n websites = {https://doi.org/10.1080/01431161.2018.1446568},\n publisher = {Taylor & Francis},\n id = {d2bf7462-25a6-330f-9393-ec06a2da4978},\n created = {2019-06-13T10:57:36.803Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-06-13T10:57:36.803Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Goncalves2018},\n private_publication = {false},\n abstract = {ABSTRACTThe recent use and availability of small and low cost Unmanned Aerial Systems (UAS) and the development of Open Source Photogrammetric (OSP) software opens new opportunities for their intensive use in topographic monitoring of foredune dynamics. This study assesses the accuracy and effectiveness of high resolution Digital Surface Models (DSM) generated by the combined use of low-altitude UAS imagery and OSP software. The Photogrammetric Workflow (PW) has been optimized to address the use an action camera and non-autonomous flight mode. To evaluate the accuracy of the DSMs derived from dense matching of UAS imagery we use a reference DSM obtained by a Terrestrial Laser Scanner in the same survey period. Moreover, we use robust statistical indicators for assessing the vertical accuracy of both DSMs: the raw DSM and the denoised DSM. The results shows that a detailed UAS-based DSM with a spatial resolution of 5 cm and vertical accuracy of 10 cm (robust root mean square error) can be obtained by using...},\n bibtype = {article},\n author = {Gonçalves, Gil Rito and Pérez, Juan Antonio and Duarte, João},\n doi = {10.1080/01431161.2018.1446568},\n journal = {International Journal of Remote Sensing},\n number = {15-16}\n}\n\n ABSTRACTThe recent use and availability of small and low cost Unmanned Aerial Systems (UAS) and the development of Open Source Photogrammetric (OSP) software opens new opportunities for their intensive use in topographic monitoring of foredune dynamics. This study assesses the accuracy and effectiveness of high resolution Digital Surface Models (DSM) generated by the combined use of low-altitude UAS imagery and OSP software. The Photogrammetric Workflow (PW) has been optimized to address the use an action camera and non-autonomous flight mode. To evaluate the accuracy of the DSMs derived from dense matching of UAS imagery we use a reference DSM obtained by a Terrestrial Laser Scanner in the same survey period. Moreover, we use robust statistical indicators for assessing the vertical accuracy of both DSMs: the raw DSM and the denoised DSM. The results shows that a detailed UAS-based DSM with a spatial resolution of 5 cm and vertical accuracy of 10 cm (robust root mean square error) can be obtained by using...\n
\n\n\n\n \n\n \n \n \n \n \n A Quantitative Comparison of Low-Cost Structure from Motion (SfM) Data Collection Platforms on Beaches and Dunes.\n \n \n \n\n\n \n Conlin, M.; Cohn, N.; and Ruggiero, P.\n\n\n \n\n\n\n Journal of Coastal Research, 34(6): 1341. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {A Quantitative Comparison of Low-Cost Structure from Motion (SfM) Data Collection Platforms on Beaches and Dunes},\n type = {article},\n year = {2018},\n pages = {1341},\n volume = {34},\n id = {4653334f-21d4-3d71-8c2e-01717381ef1b},\n created = {2019-06-13T10:57:36.807Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-06-13T10:57:36.807Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Conlin2018},\n private_publication = {false},\n abstract = {© Coastal Education and Research Foundation, Inc. 2018. Conlin, M.; Cohn, N., and Ruggiero, P., 2018. A quantitative comparison of low-cost Structure from Motion (SfM) data collection platforms on beaches and dunes. Observations of beach and dune geomorphology are critical for characterizing coastal processes and hazards. A relatively new approach for monitoring the coastline is Structure from Motion photogrammetry (SfM), a technique that uses overlapping photographs to reconstruct three-dimensional surfaces. In this study, a quantitative comparison of multiple low-cost kite-, pole-, and unmanned aerial vehicle (UAV)-based SfM data collection platforms is performed to illuminate important considerations when choosing an SfM platform for use in measuring beach and dune topography. A multicriteria analysis based on SfM results and platform usability is used to complete this comparison. Results show that UAV-based platforms received high performance scores, largely because these stable, high-flying platforms provide images with adequate texture to allow accurate three-dimensional topographic reconstruction. Although data extracted from the kite- and pole-based systems are less accurate, these platforms possess increased usability because of decreased barriers to entry and fewer environmental limitations (in the case of the pole), which increases their overall performance. These results illustrate that the overall effectiveness of a platform is based on many factors beyond vertical error of extracted data, and factors of platform usability can be important to consider when choosing an SfM platform. Furthermore, this multiplatform analysis reveals the important idea that different platforms can be optimal for different applications depending on the study site and environmental conditions. As the technology progresses, many improvements to platforms are likely to emerge, allowing SfM to become an even more useful tool for the coastal scientist.},\n bibtype = {article},\n author = {Conlin, Matthew and Cohn, Nicholas and Ruggiero, Peter},\n doi = {10.2112/jcoastres-d-17-00160.1},\n journal = {Journal of Coastal Research},\n number = {6}\n}\n\n © Coastal Education and Research Foundation, Inc. 2018. Conlin, M.; Cohn, N., and Ruggiero, P., 2018. A quantitative comparison of low-cost Structure from Motion (SfM) data collection platforms on beaches and dunes. Observations of beach and dune geomorphology are critical for characterizing coastal processes and hazards. A relatively new approach for monitoring the coastline is Structure from Motion photogrammetry (SfM), a technique that uses overlapping photographs to reconstruct three-dimensional surfaces. In this study, a quantitative comparison of multiple low-cost kite-, pole-, and unmanned aerial vehicle (UAV)-based SfM data collection platforms is performed to illuminate important considerations when choosing an SfM platform for use in measuring beach and dune topography. A multicriteria analysis based on SfM results and platform usability is used to complete this comparison. Results show that UAV-based platforms received high performance scores, largely because these stable, high-flying platforms provide images with adequate texture to allow accurate three-dimensional topographic reconstruction. Although data extracted from the kite- and pole-based systems are less accurate, these platforms possess increased usability because of decreased barriers to entry and fewer environmental limitations (in the case of the pole), which increases their overall performance. These results illustrate that the overall effectiveness of a platform is based on many factors beyond vertical error of extracted data, and factors of platform usability can be important to consider when choosing an SfM platform. Furthermore, this multiplatform analysis reveals the important idea that different platforms can be optimal for different applications depending on the study site and environmental conditions. As the technology progresses, many improvements to platforms are likely to emerge, allowing SfM to become an even more useful tool for the coastal scientist.\n
\n\n\n\n \n\n \n \n \n \n \n \n UAS as tools for rapid detection of storm-induced morphodynamic changes at Camposoto beach, SW Spain.\n \n \n \n \n\n\n \n Talavera, L.; Del Río, L.; Benavente, J.; Barbero, L.; and López-Ramírez, J., A.\n\n\n \n\n\n\n International Journal of Remote Sensing, 39(15-16): 5550-5567. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {UAS as tools for rapid detection of storm-induced morphodynamic changes at Camposoto beach, SW Spain},\n type = {article},\n year = {2018},\n pages = {5550-5567},\n volume = {39},\n websites = {https://doi.org/10.1080/01431161.2018.1471549},\n publisher = {Taylor & Francis},\n id = {f76f429b-3f99-3658-acb8-e1ecdef2e00e},\n created = {2019-06-13T10:57:36.813Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-06-13T10:57:36.813Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Talavera2018},\n private_publication = {false},\n abstract = {The increasing pressures and hazards derived from human action and climate change make the implementation of coastal monitoring plans a requirement for assessing coastal responses and evolution. For this reason, this work aims to use unmanned aerial systems (UAS) in combination with Structure from Motion algorithms for detecting morphodynamic changes caused by a storm in Camposoto beach (SW Spain). This approach provided pre-and post-storm digital elevation models of the study area with root mean square vertical errors of 6.89 and 5.54 cm, respectively, that allowed the identification of storm-induced gain and loss of sediment using Geomorphic Change Detection software. Furthermore, it also captured the response of the system against the action of specific marine processes such as storm-induced swash, collision, and overwash. The results obtained highlight the importance of an optimum flight plan design (e.g. the use of 85-75% front and side image overlap, respectively) and enhance the suitability of the UAS technology to satisfy the demands and needs in coastal monitoring studies in comparison with the traditional techniques, namely aerial photogrammetry, satellite imagery, and/or light detection and ranging. ARTICLE HISTORY},\n bibtype = {article},\n author = {Talavera, L. and Del Río, L. and Benavente, J. and Barbero, L. and López-Ramírez, J. A.},\n doi = {10.1080/01431161.2018.1471549},\n journal = {International Journal of Remote Sensing},\n number = {15-16}\n}\n\n The increasing pressures and hazards derived from human action and climate change make the implementation of coastal monitoring plans a requirement for assessing coastal responses and evolution. For this reason, this work aims to use unmanned aerial systems (UAS) in combination with Structure from Motion algorithms for detecting morphodynamic changes caused by a storm in Camposoto beach (SW Spain). This approach provided pre-and post-storm digital elevation models of the study area with root mean square vertical errors of 6.89 and 5.54 cm, respectively, that allowed the identification of storm-induced gain and loss of sediment using Geomorphic Change Detection software. Furthermore, it also captured the response of the system against the action of specific marine processes such as storm-induced swash, collision, and overwash. The results obtained highlight the importance of an optimum flight plan design (e.g. the use of 85-75% front and side image overlap, respectively) and enhance the suitability of the UAS technology to satisfy the demands and needs in coastal monitoring studies in comparison with the traditional techniques, namely aerial photogrammetry, satellite imagery, and/or light detection and ranging. ARTICLE HISTORY\n
\n\n\n\n \n\n \n \n \n \n \n UAS & S f M-based approach to Monitor Overwash Dynamics and Beach Evolution in a Sandy Spit .\n \n \n \n\n\n \n Talavera, L.; Río, L., d.; Benavente, J.; Barbero, L.; and López-Ramírez, J., A.\n\n\n \n\n\n\n Journal of Coastal Research, 85: 221-225. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = { UAS & S f M-based approach to Monitor Overwash Dynamics and Beach Evolution in a Sandy Spit },\n type = {article},\n year = {2018},\n pages = {221-225},\n volume = {85},\n id = {5d4563df-2120-39b9-9fe2-72863dc1168f},\n created = {2019-06-13T10:57:36.846Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-06-13T10:57:36.846Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Talavera2018a},\n private_publication = {false},\n abstract = {ABSTRACT Talavera, L.; Del Río, L.; Benavente, J.; Barbero, L., and López-Ramírez, J.A., 2018. UAS & SfM-based approach to Monitor Overwash Dynamics and Beach Evolution in a Sandy Spit. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 221–225. Coconut Creek (Florida), ISSN 0749-0208. The role of overwash processes is of great relevance in the long-term evolution of sandy barriers, and it can also affect coastal infrastructures in the short term. In this work, a 10-month monitoring program based on the use of Unmanned Aerial Systems (UAS) in combination with Structure from Motion (SfM) algorithms was performed in order to monitor morphological changes and ulterior evolution at Camposoto beach, an overwash-prone coastal spit located in SW Spain. This UAS&SfM approach allowed the reconstruction of 6 Digital Elevation Models (DEMs) of the area with high temporal and spatial resolutions (RMS vertical errors spanning from 5 to 8 cm). The morphological changes occurred were detected using Geomorphic Change Detection Software in ArcGIS, and they were correlated with the oceanographic conditions that prevailed during the analysed period. The results obtained provided insight into the response of the system against storm-induced overwash, which caused significant erosion/accretion patterns over a pre-existing washover fan, as well as the landward migration of the system. In addition, this methodology captured the progressive partial recovery of the system, which included onshore transport of sand, fore-beach accretion, and berm reconstruction. Despite the partial recovery observed, spring tides also triggered non-storm overwash in the area during fair-weather conditions, allowing to rethink the actual vulnerability state of the spit against rollover processes. [ABSTRACT FROM AUTHOR] Copyright of Journal of Coastal Research is the property of Allen Press Publishing Services Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)},\n bibtype = {article},\n author = {Talavera, Lara and Río, Laura del and Benavente, Javier and Barbero, Luis and López-Ramírez, Juan Antonio},\n doi = {10.2112/si85-045.1},\n journal = {Journal of Coastal Research}\n}\n\n ABSTRACT Talavera, L.; Del Río, L.; Benavente, J.; Barbero, L., and López-Ramírez, J.A., 2018. UAS & SfM-based approach to Monitor Overwash Dynamics and Beach Evolution in a Sandy Spit. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 221–225. Coconut Creek (Florida), ISSN 0749-0208. The role of overwash processes is of great relevance in the long-term evolution of sandy barriers, and it can also affect coastal infrastructures in the short term. In this work, a 10-month monitoring program based on the use of Unmanned Aerial Systems (UAS) in combination with Structure from Motion (SfM) algorithms was performed in order to monitor morphological changes and ulterior evolution at Camposoto beach, an overwash-prone coastal spit located in SW Spain. This UAS&SfM approach allowed the reconstruction of 6 Digital Elevation Models (DEMs) of the area with high temporal and spatial resolutions (RMS vertical errors spanning from 5 to 8 cm). The morphological changes occurred were detected using Geomorphic Change Detection Software in ArcGIS, and they were correlated with the oceanographic conditions that prevailed during the analysed period. The results obtained provided insight into the response of the system against storm-induced overwash, which caused significant erosion/accretion patterns over a pre-existing washover fan, as well as the landward migration of the system. In addition, this methodology captured the progressive partial recovery of the system, which included onshore transport of sand, fore-beach accretion, and berm reconstruction. Despite the partial recovery observed, spring tides also triggered non-storm overwash in the area during fair-weather conditions, allowing to rethink the actual vulnerability state of the spit against rollover processes. [ABSTRACT FROM AUTHOR] Copyright of Journal of Coastal Research is the property of Allen Press Publishing Services Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)\n
\n\n\n\n \n\n \n \n \n \n \n Assessment of UAV Photogrammetric Mapping Accuracy in the Beach Environment.\n \n \n \n\n\n \n Jeong, E.; Park, J.; and Hwang, C.\n\n\n \n\n\n\n Journal of Coastal Research, 85(85): 176-180. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {Assessment of UAV Photogrammetric Mapping Accuracy in the Beach Environment},\n type = {article},\n year = {2018},\n pages = {176-180},\n volume = {85},\n id = {5332eb71-ce16-3d22-896e-145ba34e6230},\n created = {2019-07-01T16:02:34.435Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.435Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Jeong2018},\n private_publication = {false},\n abstract = {ABSTRACT Jeong, E.Y.; Park, J.-Y., and Hwang, C.-S., 2018. Assement of UAV Photogrammetric Mapping Accuracy in the Beach Environment In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 176–180. Coconut Creek (Florida), ISSN 0749-0208. This study evaluated the accuracy of UAV photogrammetry for subaerial beach morphology. Beach is characterized by complicated morphology due to the influence of coastal processes and is mainly composed of monochromatic sandy sediments. Therefore, it is required to validate the applicability of UAV photogrammetry that finds matching points from geographical features within images to create the 3D topographic data. For the accuracy test, a beach site which consisted of both typical sandy beach characteristics at the beach face and tidal flat features at the intertidal zone, was selected. The vertical accuracy of both the fixed-wing and...},\n bibtype = {article},\n author = {Jeong, Euiyoung and Park, Jun-Yong and Hwang, Chang-Su},\n doi = {10.2112/si85-036.1},\n journal = {Journal of Coastal Research},\n number = {85}\n}\n\n ABSTRACT Jeong, E.Y.; Park, J.-Y., and Hwang, C.-S., 2018. Assement of UAV Photogrammetric Mapping Accuracy in the Beach Environment In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 176–180. Coconut Creek (Florida), ISSN 0749-0208. This study evaluated the accuracy of UAV photogrammetry for subaerial beach morphology. Beach is characterized by complicated morphology due to the influence of coastal processes and is mainly composed of monochromatic sandy sediments. Therefore, it is required to validate the applicability of UAV photogrammetry that finds matching points from geographical features within images to create the 3D topographic data. For the accuracy test, a beach site which consisted of both typical sandy beach characteristics at the beach face and tidal flat features at the intertidal zone, was selected. The vertical accuracy of both the fixed-wing and...\n
\n\n\n\n \n\n \n \n \n \n \n \n Accuracy and effectiveness of low cost UASs and open source photogrammetric software for foredunes mapping.\n \n \n \n \n\n\n \n Gonçalves, G., R.; Pérez, J., A.; and Duarte, J.\n\n\n \n\n\n\n International Journal of Remote Sensing, 39(15-16): 5059-5077. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {Accuracy and effectiveness of low cost UASs and open source photogrammetric software for foredunes mapping},\n type = {article},\n year = {2018},\n pages = {5059-5077},\n volume = {39},\n websites = {https://doi.org/10.1080/01431161.2018.1446568},\n publisher = {Taylor & Francis},\n id = {9e26cec2-76b0-35d1-a135-8352de92f585},\n created = {2019-07-01T16:02:34.439Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.439Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Goncalves2018a},\n private_publication = {false},\n abstract = {ABSTRACTThe recent use and availability of small and low cost Unmanned Aerial Systems (UAS) and the development of Open Source Photogrammetric (OSP) software opens new opportunities for their intensive use in topographic monitoring of foredune dynamics. This study assesses the accuracy and effectiveness of high resolution Digital Surface Models (DSM) generated by the combined use of low-altitude UAS imagery and OSP software. The Photogrammetric Workflow (PW) has been optimized to address the use an action camera and non-autonomous flight mode. To evaluate the accuracy of the DSMs derived from dense matching of UAS imagery we use a reference DSM obtained by a Terrestrial Laser Scanner in the same survey period. Moreover, we use robust statistical indicators for assessing the vertical accuracy of both DSMs: the raw DSM and the denoised DSM. The results shows that a detailed UAS-based DSM with a spatial resolution of 5 cm and vertical accuracy of 10 cm (robust root mean square error) can be obtained by using...},\n bibtype = {article},\n author = {Gonçalves, Gil Rito and Pérez, Juan Antonio and Duarte, João},\n doi = {10.1080/01431161.2018.1446568},\n journal = {International Journal of Remote Sensing},\n number = {15-16}\n}\n\n ABSTRACTThe recent use and availability of small and low cost Unmanned Aerial Systems (UAS) and the development of Open Source Photogrammetric (OSP) software opens new opportunities for their intensive use in topographic monitoring of foredune dynamics. This study assesses the accuracy and effectiveness of high resolution Digital Surface Models (DSM) generated by the combined use of low-altitude UAS imagery and OSP software. The Photogrammetric Workflow (PW) has been optimized to address the use an action camera and non-autonomous flight mode. To evaluate the accuracy of the DSMs derived from dense matching of UAS imagery we use a reference DSM obtained by a Terrestrial Laser Scanner in the same survey period. Moreover, we use robust statistical indicators for assessing the vertical accuracy of both DSMs: the raw DSM and the denoised DSM. The results shows that a detailed UAS-based DSM with a spatial resolution of 5 cm and vertical accuracy of 10 cm (robust root mean square error) can be obtained by using...\n
\n\n\n\n \n\n \n \n \n \n \n Multi-temporal analysis of forestry and coastal environments using UASs.\n \n \n \n\n\n \n Pádua, L.; Hruška, J.; Bessa, J.; Adão, T.; Martins, L., M.; Gonçalves, J., A.; Peres, E.; Sousa, A., M.; Castro, J., P.; and Sousa, J., J.\n\n\n \n\n\n\n Remote Sensing, 10(1): 1-21. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {Multi-temporal analysis of forestry and coastal environments using UASs},\n type = {article},\n year = {2018},\n keywords = {Chestnut trees,Coastal environments,Multi-temporal data analysis,Unmanned aerial systems},\n pages = {1-21},\n volume = {10},\n id = {d64c85d6-8d85-39be-b28f-0a67408ae017},\n created = {2019-07-01T16:02:34.713Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.713Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Padua2018},\n private_publication = {false},\n abstract = {Due to strong improvements and developments achieved in the last decade, it is clear that applied research using remote sensing technology such as unmanned aerial vehicles (UAVs) can provide a flexible, efficient, non-destructive, and non-invasive means of acquiring geoscientific data, especially aerial imagery. Simultaneously, there has been an exponential increase in the development of sensors and instruments that can be installed in UAV platforms. By combining the aforementioned factors, unmanned aerial system (UAS) setups composed of UAVs, sensors, and ground control stations, have been increasingly used for remote sensing applications, with growing potential and abilities. This paper’s overall goal is to identify advantages and challenges related to the use of UAVs for aerial imagery acquisition in forestry and coastal environments for preservation/prevention contexts. Moreover, the importance of monitoring these environments over time will be demonstrated. To achieve these goals, two case studies using UASs were conducted. The first focuses on phytosanitary problem detection and monitoring of chestnut tree health (Padrela region, Valpaços, Portugal). The acquired high-resolution imagery allowed for the identification of tree canopy cover decline by means of multi-temporal analysis. The second case study enabled the rigorous and non-evasive registry process of topographic changes that occurred in the sandspit of Cabedelo (Douro estuary, Porto, Portugal) in different time periods. The obtained results allow us to conclude that the UAS constitutes a low-cost, rigorous, and fairly autonomous form of remote sensing technology, capable of covering large geographical areas and acquiring high precision data to aid decision support systems in forestry preservation and coastal monitoring applications. Its swift evolution makes it a potential big player in remote sensing technologies today and in the near future.},\n bibtype = {article},\n author = {Pádua, Luís and Hruška, Jonáš and Bessa, José and Adão, Telmo and Martins, Luís M. and Gonçalves, José A. and Peres, Emanuel and Sousa, António M.R. and Castro, João P. and Sousa, Joaquim J.},\n doi = {10.3390/rs10010024},\n journal = {Remote Sensing},\n number = {1}\n}\n\n Due to strong improvements and developments achieved in the last decade, it is clear that applied research using remote sensing technology such as unmanned aerial vehicles (UAVs) can provide a flexible, efficient, non-destructive, and non-invasive means of acquiring geoscientific data, especially aerial imagery. Simultaneously, there has been an exponential increase in the development of sensors and instruments that can be installed in UAV platforms. By combining the aforementioned factors, unmanned aerial system (UAS) setups composed of UAVs, sensors, and ground control stations, have been increasingly used for remote sensing applications, with growing potential and abilities. This paper’s overall goal is to identify advantages and challenges related to the use of UAVs for aerial imagery acquisition in forestry and coastal environments for preservation/prevention contexts. Moreover, the importance of monitoring these environments over time will be demonstrated. To achieve these goals, two case studies using UASs were conducted. The first focuses on phytosanitary problem detection and monitoring of chestnut tree health (Padrela region, Valpaços, Portugal). The acquired high-resolution imagery allowed for the identification of tree canopy cover decline by means of multi-temporal analysis. The second case study enabled the rigorous and non-evasive registry process of topographic changes that occurred in the sandspit of Cabedelo (Douro estuary, Porto, Portugal) in different time periods. The obtained results allow us to conclude that the UAS constitutes a low-cost, rigorous, and fairly autonomous form of remote sensing technology, capable of covering large geographical areas and acquiring high precision data to aid decision support systems in forestry preservation and coastal monitoring applications. Its swift evolution makes it a potential big player in remote sensing technologies today and in the near future.\n
\n\n\n\n \n\n \n \n \n \n \n Local-scale post-event assessments with GPS and UAV-based quick-response surveys: A pilot case from the Emilia-Romagna (Italy) coast.\n \n \n \n\n\n \n Duo, E.; Chris Trembanis, A.; Dohner, S.; Grottoli, E.; and Ciavola, P.\n\n\n \n\n\n\n Natural Hazards and Earth System Sciences, 18(11): 2969-2989. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {Local-scale post-event assessments with GPS and UAV-based quick-response surveys: A pilot case from the Emilia-Romagna (Italy) coast},\n type = {article},\n year = {2018},\n pages = {2969-2989},\n volume = {18},\n id = {1795ce8f-b1de-3031-bc2a-51c83b779e32},\n created = {2019-07-01T16:02:34.788Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.788Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Duo2018},\n private_publication = {false},\n abstract = {<p><strong>Abstract.</strong> Coastal communities and assets are exposed to flooding and erosion hazards due to extreme storm events, which may increase in intensity due to climatological factors in the incoming future. Coastal managers are tasked with developing risk-management plans mitigating risk during all phases of the disaster cycle. This necessitates rapid, time-efficient post-event beach surveys that collect physical data in the immediate aftermath of an event. Additionally, the inclusion of local stakeholders in the assessment process via personal interviews captures the social dimension of the impact of the event. In this study, a local protocol for post-event assessment, the quick-response protocol, was tested on a pilot site on the Emilia–Romagna (Italy) coast in the aftermath of an extreme meteorological event that occurred in February 2015. Physical data were collected using both real-time kinematic Geographical Positions Systems and unmanned aerial vehicle platforms. Local stakeholders were interviewed by collecting qualitative information on their experiences before, during, and after the event. Data comparisons between local and regional surveys of this event highlighted higher data resolution and accuracy at the local level, enabling improved risk assessment for future events of this magnitude. The local survey methodology, although improvable from different technical aspects, can be readily integrated into regional surveys for improved data resolution and accuracy of storm impact assessments on the regional scale to better inform coastal risk managers during mitigation planning.</p>},\n bibtype = {article},\n author = {Duo, Enrico and Chris Trembanis, Arthur and Dohner, Stephanie and Grottoli, Edoardo and Ciavola, Paolo},\n doi = {10.5194/nhess-18-2969-2018},\n journal = {Natural Hazards and Earth System Sciences},\n number = {11}\n}\n\n
\n\n\nAbstract. Coastal communities and assets are exposed to flooding and erosion hazards due to extreme storm events, which may increase in intensity due to climatological factors in the incoming future. Coastal managers are tasked with developing risk-management plans mitigating risk during all phases of the disaster cycle. This necessitates rapid, time-efficient post-event beach surveys that collect physical data in the immediate aftermath of an event. Additionally, the inclusion of local stakeholders in the assessment process via personal interviews captures the social dimension of the impact of the event. In this study, a local protocol for post-event assessment, the quick-response protocol, was tested on a pilot site on the Emilia–Romagna (Italy) coast in the aftermath of an extreme meteorological event that occurred in February 2015. Physical data were collected using both real-time kinematic Geographical Positions Systems and unmanned aerial vehicle platforms. Local stakeholders were interviewed by collecting qualitative information on their experiences before, during, and after the event. Data comparisons between local and regional surveys of this event highlighted higher data resolution and accuracy at the local level, enabling improved risk assessment for future events of this magnitude. The local survey methodology, although improvable from different technical aspects, can be readily integrated into regional surveys for improved data resolution and accuracy of storm impact assessments on the regional scale to better inform coastal risk managers during mitigation planning.
\n\n \n\n \n \n \n \n \n Study of 3D bathymetry modelling using LAPAN Surveillance Unmanned Aerial Vehicle 02 (LSU-02) photo data with stereo photogrammetry technique, Wawaran Beach, Pacitan, East Java, Indonesia.\n \n \n \n\n\n \n Sari, N., M.; Nugroho, J., T.; Chulafak, G., A.; and Kushardono, D.\n\n\n \n\n\n\n IOP Conference Series: Earth and Environmental Science, 149(1). 2018.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Study of 3D bathymetry modelling using LAPAN Surveillance Unmanned Aerial Vehicle 02 (LSU-02) photo data with stereo photogrammetry technique, Wawaran Beach, Pacitan, East Java, Indonesia},\n type = {article},\n year = {2018},\n volume = {149},\n id = {81920aa8-513f-3739-bd20-27ea55ed5979},\n created = {2019-07-01T16:02:34.805Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.805Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Sari2018},\n private_publication = {false},\n bibtype = {article},\n author = {Sari, N. M. and Nugroho, J. T. and Chulafak, G. A. and Kushardono, D.},\n doi = {10.1088/1755-1315/149/1/012065},\n journal = {IOP Conference Series: Earth and Environmental Science},\n number = {1}\n}\n\n \n\n \n \n \n \n \n \n Coincident beach surveys using UAS, vehicle mounted and airborne laser scanner: Point cloud inter-comparison and effects of surface type heterogeneity on elevation accuracies.\n \n \n \n \n\n\n \n Elsner, P.; Dornbusch, U.; Thomas, I.; Amos, D.; Bovington, J.; and Horn, D.\n\n\n \n\n\n\n Remote Sensing of Environment, 208(December 2016): 15-26. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {Coincident beach surveys using UAS, vehicle mounted and airborne laser scanner: Point cloud inter-comparison and effects of surface type heterogeneity on elevation accuracies},\n type = {article},\n year = {2018},\n keywords = {Accuracy analysis,Beach monitoring,Laser scanning,LiDAR,UAS,UAV},\n pages = {15-26},\n volume = {208},\n websites = {https://doi.org/10.1016/j.rse.2018.02.008},\n publisher = {Elsevier},\n id = {71a79af1-5d2e-30af-9b75-5fe6228fa4de},\n created = {2019-07-01T16:02:34.825Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.825Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Elsner2018},\n private_publication = {false},\n abstract = {Reliable and consistent topographic data is key to a multitude of environmental manangement and research applications. Unmanned Aerial Systems (UAS) are fast establishing themselves as a promising additional remote sensing platform that provides high spatial resolution not only of topography but also surface types and coastal features together with comparatively low costs and high deployment flexibility. However, comprehensive information on the accuracy of UAS-based elevation models in comparison to other available surveying methodology is regulary limited to be referenced to individual methods. This paper addresses this shortcoming by comparing coincident beach surveys of three different point cloud generating methods: ATV mounted mobile laser scan (MLS), airborne LiDAR (ALS), and UAS. This was complemented by two RTK-GPS surveys on a pole with wheel attachment and mounted on an ATV. We present results in relation to elevation accuracies on a concrete control surface, the entire beach and for six different beach surface types together with how differences between point clouds propagate during the construction of gridded elevation models. Overall, UAS point cloud elevations were consistently higher than those of ALS (+0.063 m) and MLS (+0.087 m). However, these results for the entire beach mask larger and smaller differences related to the individual surface characteristics. For all surface types, UAS records higher (from 0.006 m for wet sand to 0.118 m for cobbles, average of 0.063 m) elevations than ALS. The MLS on the other hand, records predominantly lower elevation than ALS (−0.005 m for beach gravel to −0.089 m for soft mud, average of −0.025 m) except for cobbles, where elevations are 0.056 m higher. The comparison shows that all point cloud methods produce elevations that are suitable for monitoring changes in beach topography in the context of operational coastal management applications. However, due to the systematic differences between respective monitoring approaches, care needs to be taken when analysing beach topographies for the same area based on different methods. The eventual choice of monitoring method is therefore guided by a range of practical factors, including capital cost of the system and operating costs per survey area, conditions under which the system can operate, data processing time, and legal restrictions in the use of the system such as air safety regulations or limitation of ground access to areas with environmental protection.},\n bibtype = {article},\n author = {Elsner, Paul and Dornbusch, Uwe and Thomas, Ian and Amos, Dan and Bovington, James and Horn, Diane},\n doi = {10.1016/j.rse.2018.02.008},\n journal = {Remote Sensing of Environment},\n number = {December 2016}\n}\n\n Reliable and consistent topographic data is key to a multitude of environmental manangement and research applications. Unmanned Aerial Systems (UAS) are fast establishing themselves as a promising additional remote sensing platform that provides high spatial resolution not only of topography but also surface types and coastal features together with comparatively low costs and high deployment flexibility. However, comprehensive information on the accuracy of UAS-based elevation models in comparison to other available surveying methodology is regulary limited to be referenced to individual methods. This paper addresses this shortcoming by comparing coincident beach surveys of three different point cloud generating methods: ATV mounted mobile laser scan (MLS), airborne LiDAR (ALS), and UAS. This was complemented by two RTK-GPS surveys on a pole with wheel attachment and mounted on an ATV. We present results in relation to elevation accuracies on a concrete control surface, the entire beach and for six different beach surface types together with how differences between point clouds propagate during the construction of gridded elevation models. Overall, UAS point cloud elevations were consistently higher than those of ALS (+0.063 m) and MLS (+0.087 m). However, these results for the entire beach mask larger and smaller differences related to the individual surface characteristics. For all surface types, UAS records higher (from 0.006 m for wet sand to 0.118 m for cobbles, average of 0.063 m) elevations than ALS. The MLS on the other hand, records predominantly lower elevation than ALS (−0.005 m for beach gravel to −0.089 m for soft mud, average of −0.025 m) except for cobbles, where elevations are 0.056 m higher. The comparison shows that all point cloud methods produce elevations that are suitable for monitoring changes in beach topography in the context of operational coastal management applications. However, due to the systematic differences between respective monitoring approaches, care needs to be taken when analysing beach topographies for the same area based on different methods. The eventual choice of monitoring method is therefore guided by a range of practical factors, including capital cost of the system and operating costs per survey area, conditions under which the system can operate, data processing time, and legal restrictions in the use of the system such as air safety regulations or limitation of ground access to areas with environmental protection.\n
\n\n\n\n \n\n \n \n \n \n \n \n UAS as tools for rapid detection of storm-induced morphodynamic changes at Camposoto beach, SW Spain.\n \n \n \n \n\n\n \n Talavera, L.; Del Río, L.; Benavente, J.; Barbero, L.; and López-Ramírez, J., A.\n\n\n \n\n\n\n International Journal of Remote Sensing, 39(15-16): 5550-5567. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {UAS as tools for rapid detection of storm-induced morphodynamic changes at Camposoto beach, SW Spain},\n type = {article},\n year = {2018},\n pages = {5550-5567},\n volume = {39},\n websites = {https://doi.org/10.1080/01431161.2018.1471549},\n publisher = {Taylor & Francis},\n id = {2e3daf72-79fa-35c7-acab-c0912cb9eeed},\n created = {2019-07-01T16:02:34.897Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.897Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Talavera2018b},\n private_publication = {false},\n abstract = {The increasing pressures and hazards derived from human action and climate change make the implementation of coastal monitoring plans a requirement for assessing coastal responses and evolution. For this reason, this work aims to use unmanned aerial systems (UAS) in combination with Structure from Motion algorithms for detecting morphodynamic changes caused by a storm in Camposoto beach (SW Spain). This approach provided pre-and post-storm digital elevation models of the study area with root mean square vertical errors of 6.89 and 5.54 cm, respectively, that allowed the identification of storm-induced gain and loss of sediment using Geomorphic Change Detection software. Furthermore, it also captured the response of the system against the action of specific marine processes such as storm-induced swash, collision, and overwash. The results obtained highlight the importance of an optimum flight plan design (e.g. the use of 85-75% front and side image overlap, respectively) and enhance the suitability of the UAS technology to satisfy the demands and needs in coastal monitoring studies in comparison with the traditional techniques, namely aerial photogrammetry, satellite imagery, and/or light detection and ranging. ARTICLE HISTORY},\n bibtype = {article},\n author = {Talavera, L. and Del Río, L. and Benavente, J. and Barbero, L. and López-Ramírez, J. A.},\n doi = {10.1080/01431161.2018.1471549},\n journal = {International Journal of Remote Sensing},\n number = {15-16}\n}\n\n The increasing pressures and hazards derived from human action and climate change make the implementation of coastal monitoring plans a requirement for assessing coastal responses and evolution. For this reason, this work aims to use unmanned aerial systems (UAS) in combination with Structure from Motion algorithms for detecting morphodynamic changes caused by a storm in Camposoto beach (SW Spain). This approach provided pre-and post-storm digital elevation models of the study area with root mean square vertical errors of 6.89 and 5.54 cm, respectively, that allowed the identification of storm-induced gain and loss of sediment using Geomorphic Change Detection software. Furthermore, it also captured the response of the system against the action of specific marine processes such as storm-induced swash, collision, and overwash. The results obtained highlight the importance of an optimum flight plan design (e.g. the use of 85-75% front and side image overlap, respectively) and enhance the suitability of the UAS technology to satisfy the demands and needs in coastal monitoring studies in comparison with the traditional techniques, namely aerial photogrammetry, satellite imagery, and/or light detection and ranging. ARTICLE HISTORY\n
\n\n\n\n \n\n \n \n \n \n \n A Quantitative Comparison of Low-Cost Structure from Motion (SfM) Data Collection Platforms on Beaches and Dunes.\n \n \n \n\n\n \n Conlin, M.; Cohn, N.; and Ruggiero, P.\n\n\n \n\n\n\n Journal of Coastal Research, 34(6): 1341. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {A Quantitative Comparison of Low-Cost Structure from Motion (SfM) Data Collection Platforms on Beaches and Dunes},\n type = {article},\n year = {2018},\n keywords = {Coastal geomorphology,coastal monitoring,remote se},\n pages = {1341},\n volume = {34},\n id = {ec178e84-1e27-3d6a-bcf6-46eebe169ec8},\n created = {2019-07-05T13:44:32.508Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.508Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Conlin2018a},\n private_publication = {false},\n abstract = {© Coastal Education and Research Foundation, Inc. 2018. Conlin, M.; Cohn, N., and Ruggiero, P., 2018. A quantitative comparison of low-cost Structure from Motion (SfM) data collection platforms on beaches and dunes. Observations of beach and dune geomorphology are critical for characterizing coastal processes and hazards. A relatively new approach for monitoring the coastline is Structure from Motion photogrammetry (SfM), a technique that uses overlapping photographs to reconstruct three-dimensional surfaces. In this study, a quantitative comparison of multiple low-cost kite-, pole-, and unmanned aerial vehicle (UAV)-based SfM data collection platforms is performed to illuminate important considerations when choosing an SfM platform for use in measuring beach and dune topography. A multicriteria analysis based on SfM results and platform usability is used to complete this comparison. Results show that UAV-based platforms received high performance scores, largely because these stable, high-flying platforms provide images with adequate texture to allow accurate three-dimensional topographic reconstruction. Although data extracted from the kite- and pole-based systems are less accurate, these platforms possess increased usability because of decreased barriers to entry and fewer environmental limitations (in the case of the pole), which increases their overall performance. These results illustrate that the overall effectiveness of a platform is based on many factors beyond vertical error of extracted data, and factors of platform usability can be important to consider when choosing an SfM platform. Furthermore, this multiplatform analysis reveals the important idea that different platforms can be optimal for different applications depending on the study site and environmental conditions. As the technology progresses, many improvements to platforms are likely to emerge, allowing SfM to become an even more useful tool for the coastal scientist.},\n bibtype = {article},\n author = {Conlin, Matthew and Cohn, Nicholas and Ruggiero, Peter},\n doi = {10.2112/jcoastres-d-17-00160.1},\n journal = {Journal of Coastal Research},\n number = {6}\n}\n\n © Coastal Education and Research Foundation, Inc. 2018. Conlin, M.; Cohn, N., and Ruggiero, P., 2018. A quantitative comparison of low-cost Structure from Motion (SfM) data collection platforms on beaches and dunes. Observations of beach and dune geomorphology are critical for characterizing coastal processes and hazards. A relatively new approach for monitoring the coastline is Structure from Motion photogrammetry (SfM), a technique that uses overlapping photographs to reconstruct three-dimensional surfaces. In this study, a quantitative comparison of multiple low-cost kite-, pole-, and unmanned aerial vehicle (UAV)-based SfM data collection platforms is performed to illuminate important considerations when choosing an SfM platform for use in measuring beach and dune topography. A multicriteria analysis based on SfM results and platform usability is used to complete this comparison. Results show that UAV-based platforms received high performance scores, largely because these stable, high-flying platforms provide images with adequate texture to allow accurate three-dimensional topographic reconstruction. Although data extracted from the kite- and pole-based systems are less accurate, these platforms possess increased usability because of decreased barriers to entry and fewer environmental limitations (in the case of the pole), which increases their overall performance. These results illustrate that the overall effectiveness of a platform is based on many factors beyond vertical error of extracted data, and factors of platform usability can be important to consider when choosing an SfM platform. Furthermore, this multiplatform analysis reveals the important idea that different platforms can be optimal for different applications depending on the study site and environmental conditions. As the technology progresses, many improvements to platforms are likely to emerge, allowing SfM to become an even more useful tool for the coastal scientist.\n
\n\n\n\n \n\n \n \n \n \n \n Implementing an efficient beach erosion monitoring system for coastal management in Croatia.\n \n \n \n\n\n \n Pikelj, K.; Ružić, I.; Ilić, S.; James, M., R.; and Kordić, B.\n\n\n \n\n\n\n Ocean and Coastal Management, 156(February 2017): 223-238. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {Implementing an efficient beach erosion monitoring system for coastal management in Croatia},\n type = {article},\n year = {2018},\n keywords = {Adriatic sea,Beach erosion management,Gravel beach,Monitoring systems,Storms,Structure-from-Motion multi-view stereo},\n pages = {223-238},\n volume = {156},\n id = {331d0470-dc59-3be6-bdfd-9c13f96b8673},\n created = {2019-07-05T13:44:32.813Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.813Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Pikelj2018},\n private_publication = {false},\n abstract = {This paper proposes a coastal erosion monitoring system for beach erosion management, which we demonstrate on natural and artificial pocket gravel beaches in Croatia. The approach uses low-cost Structure-from-Motion (SfM) photogrammetric imaging and multi-view stereo (MVS) to produce high-resolution 3D beach models for detecting morphological changes and erosion occurrence. Coastal state indicators, such as the shoreline position and subaerial beach volume, are derived from the 3D models and used to quantify changes between surveys. The method is illustrated through two case studies and, to our knowledge, these are the first repetitive measurements taken on the Croatian eastern Adriatic Coast (CEAC). In case of the natural Brseč beach, beach rotation was found to be a response to natural forcing from waves of various incident directions. For the artificial Dugi Rat beach, which loses sediment every winter and is subsequently re-nourished every spring, monitoring showed that beach nourishment is of limited durability. Both case studies showed that the SfM-MVS technique is suitable for the rapid and frequent acquisition of 3D survey data, from which quantitative coastal indicators can be derived to inform future coastal management interventions. Significantly, this low-cost data acquisition has a great potential for regular beach management survey. The introduction of beach monitoring in Croatia is timely because emerging Integrated Coastal Zone Management (ICZM) practices will require data-based approaches. Moreover, rare natural pocket beaches and the ever-increasing number of artificial beaches are extremely vulnerable to natural and man-made changes. Adaptive beach management, based on systematic monitoring data, should be included in the ICZM, and we detail how SfM-MVS-based monitoring can be used at different levels of the ICZM. Implementing robust ICZM monitoring will require broad considerations and consultation with all stakeholders, so we propose that SfM-MVS beach surveys should be initially integrated into the existing monitoring practices for CEAC sea water bathing quality. Extension of the existing database with rapidly-gathered low-cost 3D beach survey data, from a number of targeted beaches, could be used to provide a crucial baseline for the ICZM and strategic coastal monitoring of the CEAC.},\n bibtype = {article},\n author = {Pikelj, Kristina and Ružić, Igor and Ilić, Suzana and James, Mike R. and Kordić, Branko},\n doi = {10.1016/j.ocecoaman.2017.11.019},\n journal = {Ocean and Coastal Management},\n number = {February 2017}\n}\n\n This paper proposes a coastal erosion monitoring system for beach erosion management, which we demonstrate on natural and artificial pocket gravel beaches in Croatia. The approach uses low-cost Structure-from-Motion (SfM) photogrammetric imaging and multi-view stereo (MVS) to produce high-resolution 3D beach models for detecting morphological changes and erosion occurrence. Coastal state indicators, such as the shoreline position and subaerial beach volume, are derived from the 3D models and used to quantify changes between surveys. The method is illustrated through two case studies and, to our knowledge, these are the first repetitive measurements taken on the Croatian eastern Adriatic Coast (CEAC). In case of the natural Brseč beach, beach rotation was found to be a response to natural forcing from waves of various incident directions. For the artificial Dugi Rat beach, which loses sediment every winter and is subsequently re-nourished every spring, monitoring showed that beach nourishment is of limited durability. Both case studies showed that the SfM-MVS technique is suitable for the rapid and frequent acquisition of 3D survey data, from which quantitative coastal indicators can be derived to inform future coastal management interventions. Significantly, this low-cost data acquisition has a great potential for regular beach management survey. The introduction of beach monitoring in Croatia is timely because emerging Integrated Coastal Zone Management (ICZM) practices will require data-based approaches. Moreover, rare natural pocket beaches and the ever-increasing number of artificial beaches are extremely vulnerable to natural and man-made changes. Adaptive beach management, based on systematic monitoring data, should be included in the ICZM, and we detail how SfM-MVS-based monitoring can be used at different levels of the ICZM. Implementing robust ICZM monitoring will require broad considerations and consultation with all stakeholders, so we propose that SfM-MVS beach surveys should be initially integrated into the existing monitoring practices for CEAC sea water bathing quality. Extension of the existing database with rapidly-gathered low-cost 3D beach survey data, from a number of targeted beaches, could be used to provide a crucial baseline for the ICZM and strategic coastal monitoring of the CEAC.\n
\n\n\n\n \n\n \n \n \n \n \n Assessment of UAV Photogrammetric Mapping Accuracy in the Beach Environment.\n \n \n \n\n\n \n Jeong, E.; Park, J.; and Hwang, C.\n\n\n \n\n\n\n Journal of Coastal Research, 85(85): 176-180. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {Assessment of UAV Photogrammetric Mapping Accuracy in the Beach Environment},\n type = {article},\n year = {2018},\n pages = {176-180},\n volume = {85},\n id = {24775300-6238-38ea-81e0-5c2ff8ceb0d2},\n created = {2019-07-05T13:44:32.864Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.864Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Jeong2018a},\n private_publication = {false},\n abstract = {ABSTRACT Jeong, E.Y.; Park, J.-Y., and Hwang, C.-S., 2018. Assement of UAV Photogrammetric Mapping Accuracy in the Beach Environment In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 176–180. Coconut Creek (Florida), ISSN 0749-0208. This study evaluated the accuracy of UAV photogrammetry for subaerial beach morphology. Beach is characterized by complicated morphology due to the influence of coastal processes and is mainly composed of monochromatic sandy sediments. Therefore, it is required to validate the applicability of UAV photogrammetry that finds matching points from geographical features within images to create the 3D topographic data. For the accuracy test, a beach site which consisted of both typical sandy beach characteristics at the beach face and tidal flat features at the intertidal zone, was selected. The vertical accuracy of both the fixed-wing and...},\n bibtype = {article},\n author = {Jeong, Euiyoung and Park, Jun-Yong and Hwang, Chang-Su},\n doi = {10.2112/si85-036.1},\n journal = {Journal of Coastal Research},\n number = {85}\n}\n\n ABSTRACT Jeong, E.Y.; Park, J.-Y., and Hwang, C.-S., 2018. Assement of UAV Photogrammetric Mapping Accuracy in the Beach Environment In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 176–180. Coconut Creek (Florida), ISSN 0749-0208. This study evaluated the accuracy of UAV photogrammetry for subaerial beach morphology. Beach is characterized by complicated morphology due to the influence of coastal processes and is mainly composed of monochromatic sandy sediments. Therefore, it is required to validate the applicability of UAV photogrammetry that finds matching points from geographical features within images to create the 3D topographic data. For the accuracy test, a beach site which consisted of both typical sandy beach characteristics at the beach face and tidal flat features at the intertidal zone, was selected. The vertical accuracy of both the fixed-wing and...\n
\n\n\n\n \n\n \n \n \n \n \n \n UAV monitoring of 3-year Foredune Partial Recovery from a Severe Winter: Truc Vert Beach, SW France.\n \n \n \n \n\n\n \n Guillot, B.; Castelle, B.; Marieu, V.; Bujan, S.; and Rosebery, D.\n\n\n \n\n\n\n Journal of Coastal Research, 85: 276-280. 2018.\n \n\n\n\n
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\n\n\n@article{\n title = {UAV monitoring of 3-year Foredune Partial Recovery from a Severe Winter: Truc Vert Beach, SW France},\n type = {article},\n year = {2018},\n pages = {276-280},\n volume = {85},\n websites = {http://www.bioone.org/doi/10.2112/SI85-056.1},\n id = {4f1adee8-b78a-3a02-8cfb-f2f403c25d7f},\n created = {2019-07-05T13:44:32.953Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.953Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Guillot2018},\n private_publication = {false},\n abstract = {The recent development of ultra-light civil UAVs and photogrammetric\ntechniques provides new and efficient means to remotely sense the\ncoastal topography at high spatial and temporal resolutions along\nspatially extensive areas. Truc Vert, SW France, is a high-energy\nmeso-macrotidal beach backed by a preserved high and wide coastal dune\nsystem. This coastal dune system, which had been relatively stable over\nthe last 70 years, was severely eroded during the winter of 2013/2014\nwith 800-m long and up to 8-m high cuspate erosion scarps. Since then,\nthe foredune has been slowly recovering. This 3-year period was\ncharacterized, at the early stage, by the destabilisation of the scarped\ndune by trough blowouts, scarp slumping and filling and seasonal beach\nberm dynamics. The onset of foredune recovery occurred subsequently, and\nwas characterized by the development of a dune ramp. This ramp provided\nefficient conduit for beach-dune delivery/exchange of sediment by the\nend of the study despite the high-energy winter of 2015/2016 drove\nlocalized dune erosion. The coastal dune did not fully recover with an\napproximately 60% average recovery within 3 years, an overall accretion\ndue primarily to incipient foredune formation and foredune growth in\nheight. The timing and magnitude of the incomplete recovery sequence\nfrom the UAV surveys provide an outstanding measure of coastal dune\nresilience to severe storms in this region of the world.},\n bibtype = {article},\n author = {Guillot, Benoît and Castelle, Bruno and Marieu, Vincent and Bujan, Stéphane and Rosebery, David},\n doi = {10.2112/SI85-056.1},\n journal = {Journal of Coastal Research}\n}\n\n The recent development of ultra-light civil UAVs and photogrammetric\ntechniques provides new and efficient means to remotely sense the\ncoastal topography at high spatial and temporal resolutions along\nspatially extensive areas. Truc Vert, SW France, is a high-energy\nmeso-macrotidal beach backed by a preserved high and wide coastal dune\nsystem. This coastal dune system, which had been relatively stable over\nthe last 70 years, was severely eroded during the winter of 2013/2014\nwith 800-m long and up to 8-m high cuspate erosion scarps. Since then,\nthe foredune has been slowly recovering. This 3-year period was\ncharacterized, at the early stage, by the destabilisation of the scarped\ndune by trough blowouts, scarp slumping and filling and seasonal beach\nberm dynamics. The onset of foredune recovery occurred subsequently, and\nwas characterized by the development of a dune ramp. This ramp provided\nefficient conduit for beach-dune delivery/exchange of sediment by the\nend of the study despite the high-energy winter of 2015/2016 drove\nlocalized dune erosion. The coastal dune did not fully recover with an\napproximately 60% average recovery within 3 years, an overall accretion\ndue primarily to incipient foredune formation and foredune growth in\nheight. The timing and magnitude of the incomplete recovery sequence\nfrom the UAV surveys provide an outstanding measure of coastal dune\nresilience to severe storms in this region of the world.\n
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\n \n \n\n \n \n \n \n \n Bathymetric Structure-from-Motion: extracting shallow stream bathymetry from multi-view stereo photogrammetry.\n \n \n \n\n\n \n Dietrich, J., T.\n\n\n \n\n\n\n Earth Surface Processes and Landforms, 42(2): 355-364. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Bathymetric Structure-from-Motion: extracting shallow stream bathymetry from multi-view stereo photogrammetry},\n type = {article},\n year = {2017},\n keywords = {Structure-from-Motion (SfM),UAV/UAS,bathymetry,refraction correction,two-media photogrammetry},\n pages = {355-364},\n volume = {42},\n id = {74dee997-a645-38bf-9f87-f3c1bade29c6},\n created = {2018-07-23T13:44:53.244Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.732Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Dietrich2017},\n private_publication = {false},\n abstract = {Stream bathymetry is a critical variable in a number of river science applications. In larger rivers, bathymetry can be measured with instruments such as sonar (single or multi-beam), bathymetric airborne LiDAR, or acoustic doppler current profilers. However, in smaller streams with depths less than 2 meters, bathymetry is one of the more difficult variables to map at high-resolution. Optical remote sensing techniques offer several potential solutions for collecting high-resolution bathymetry. In this research, I focus on direct photogrammetric measurements of bathymetry using multi-view stereo photogrammetry, specifically Structure from Motion (SfM). The main barrier to accurate bathymetric mapping with any photogrammetric technique is correcting for the refraction of light as it passes between the two different media (air and water), which causes water depths to appear shallower than they are. I propose and test an iterative approach that calculates a series of refraction correction equations for every point/camera combination in a SfM point cloud. This new method is meant to address shortcomings of other correction techniques and works within the current preferred method for SfM data collection, oblique and highly convergent photographs. The multi-camera refraction correction presented here produces bathymetric datasets with accuracies of ~0.02% of the flying height and precisions of ~0.1% of the flying height. This methodology, like many fluvial remote sensing methods, will only work under ideal conditions (e.g. clear water), but it provides an additional tool for collecting high-resolution bathymetric datasets for a variety of river, coastal, and estuary systems. This article is protected by copyright. All rights reserved.},\n bibtype = {article},\n author = {Dietrich, James T.},\n doi = {10.1002/esp.4060},\n journal = {Earth Surface Processes and Landforms},\n number = {2}\n}\n\n Stream bathymetry is a critical variable in a number of river science applications. In larger rivers, bathymetry can be measured with instruments such as sonar (single or multi-beam), bathymetric airborne LiDAR, or acoustic doppler current profilers. However, in smaller streams with depths less than 2 meters, bathymetry is one of the more difficult variables to map at high-resolution. Optical remote sensing techniques offer several potential solutions for collecting high-resolution bathymetry. In this research, I focus on direct photogrammetric measurements of bathymetry using multi-view stereo photogrammetry, specifically Structure from Motion (SfM). The main barrier to accurate bathymetric mapping with any photogrammetric technique is correcting for the refraction of light as it passes between the two different media (air and water), which causes water depths to appear shallower than they are. I propose and test an iterative approach that calculates a series of refraction correction equations for every point/camera combination in a SfM point cloud. This new method is meant to address shortcomings of other correction techniques and works within the current preferred method for SfM data collection, oblique and highly convergent photographs. The multi-camera refraction correction presented here produces bathymetric datasets with accuracies of ~0.02% of the flying height and precisions of ~0.1% of the flying height. This methodology, like many fluvial remote sensing methods, will only work under ideal conditions (e.g. clear water), but it provides an additional tool for collecting high-resolution bathymetric datasets for a variety of river, coastal, and estuary systems. This article is protected by copyright. All rights reserved.\n
\n\n\n\n \n\n \n \n \n \n \n Coastal areas mapping using UAV photogrammetry.\n \n \n \n\n\n \n Nikolakopoulos, K., G.; Kozarski, D.; and Kogkas, S.\n\n\n \n\n\n\n , (October 2017): 23. 2017.\n \n\n\n\n
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\n\n\n@article{\n title = {Coastal areas mapping using UAV photogrammetry},\n type = {article},\n year = {2017},\n pages = {23},\n id = {b7cb886c-257d-37bf-a3cd-c8aa6ccd5c52},\n created = {2019-06-13T10:57:36.753Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-06-13T10:57:36.753Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Nikolakopoulos2017},\n private_publication = {false},\n abstract = {© 2017 SPIE. The coastal areas in the Patras Gulf suffer degradation due to the sea action and other natural and human-induced causes. Changes in beaches, ports, and other man made constructions need to be assessed, both after severe events and on a regular basis, to build models that can predict the evolution in the future. Thus, reliable spatial data acquisition is a critical process for the identification of the coastline and the broader coastal zones for geologists and other scientists involved in the study of coastal morphology. High resolution satellite data, airphotos and airborne Lidar provided in the past the necessary data for the coastline monitoring. High-resolution digital surface models (DSMs) and orthophoto maps had become a necessity in order to map with accuracy all the variations in costal environments. Recently, unmanned aerial vehicles (UAV) photogrammetry offers an alternative solution to the acquisition of high accuracy spatial data along the coastline. This paper presents the use of UAV to map the coastline in Rio area Western Greece. Multiple photogrammetric aerial campaigns were performed. A small commercial UAV (DJI Phantom 3 Advance) was used to acquire thousands of images with spatial resolutions better than 5 cm. Different photogrammetric software's were used to orientate the images, extract point clouds, build a digital surface model and produce orthoimage mosaics. In order to achieve the best positional accuracy signalised ground control points were measured with a differential GNSS receiver. The results of this coastal monitoring programme proved that UAVs can replace many of the conventional surveys, with considerable gains in the cost of the data acquisition and without any loss in the accuracy.},\n bibtype = {article},\n author = {Nikolakopoulos, Konstantinos G. and Kozarski, Dimitrios and Kogkas, Stefanos},\n doi = {10.1117/12.2278121},\n number = {October 2017}\n}\n\n © 2017 SPIE. The coastal areas in the Patras Gulf suffer degradation due to the sea action and other natural and human-induced causes. Changes in beaches, ports, and other man made constructions need to be assessed, both after severe events and on a regular basis, to build models that can predict the evolution in the future. Thus, reliable spatial data acquisition is a critical process for the identification of the coastline and the broader coastal zones for geologists and other scientists involved in the study of coastal morphology. High resolution satellite data, airphotos and airborne Lidar provided in the past the necessary data for the coastline monitoring. High-resolution digital surface models (DSMs) and orthophoto maps had become a necessity in order to map with accuracy all the variations in costal environments. Recently, unmanned aerial vehicles (UAV) photogrammetry offers an alternative solution to the acquisition of high accuracy spatial data along the coastline. This paper presents the use of UAV to map the coastline in Rio area Western Greece. Multiple photogrammetric aerial campaigns were performed. A small commercial UAV (DJI Phantom 3 Advance) was used to acquire thousands of images with spatial resolutions better than 5 cm. Different photogrammetric software's were used to orientate the images, extract point clouds, build a digital surface model and produce orthoimage mosaics. In order to achieve the best positional accuracy signalised ground control points were measured with a differential GNSS receiver. The results of this coastal monitoring programme proved that UAVs can replace many of the conventional surveys, with considerable gains in the cost of the data acquisition and without any loss in the accuracy.\n
\n\n\n\n \n\n \n \n \n \n \n Coastal Dune Surveying Using a Low-Cost Remotely Piloted Aerial System (RPAS).\n \n \n \n\n\n \n Moloney, J., G.; Hilton, M., J.; Sirguey, P.; and Simons-Smith, T.\n\n\n \n\n\n\n Journal of Coastal Research, 345(5): 1244-1255. 2017.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Coastal Dune Surveying Using a Low-Cost Remotely Piloted Aerial System (RPAS)},\n type = {article},\n year = {2017},\n pages = {1244-1255},\n volume = {345},\n id = {83f7765c-f23f-3036-89e2-2f8ec311a285},\n created = {2019-06-13T10:57:36.957Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-06-13T10:57:36.957Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Moloney2017},\n private_publication = {false},\n bibtype = {article},\n author = {Moloney, Julia G. and Hilton, Mike J. and Sirguey, Pascal and Simons-Smith, Tom},\n doi = {10.2112/jcoastres-d-17-00076.1},\n journal = {Journal of Coastal Research},\n number = {5}\n}\n\n \n\n \n \n \n \n \n Coastal Dune Surveying Using a Low-Cost Remotely Piloted Aerial System (RPAS).\n \n \n \n\n\n \n Moloney, J., G.; Hilton, M., J.; Sirguey, P.; and Simons-Smith, T.\n\n\n \n\n\n\n Journal of Coastal Research, 345(5): 1244-1255. 2017.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Coastal Dune Surveying Using a Low-Cost Remotely Piloted Aerial System (RPAS)},\n type = {article},\n year = {2017},\n pages = {1244-1255},\n volume = {345},\n id = {3d890494-b464-3145-b456-a0c995b11c1a},\n created = {2019-07-01T16:02:34.743Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.743Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Moloney2017a},\n private_publication = {false},\n bibtype = {article},\n author = {Moloney, Julia G. and Hilton, Mike J. and Sirguey, Pascal and Simons-Smith, Tom},\n doi = {10.2112/jcoastres-d-17-00076.1},\n journal = {Journal of Coastal Research},\n number = {5}\n}\n\n \n\n \n \n \n \n \n Using UAS hyperspatial RGB imagery for identifying beach zones along the South Texas Coast.\n \n \n \n\n\n \n Su, L.; and Gibeaut, J.\n\n\n \n\n\n\n Remote Sensing, 9(2). 2017.\n \n\n\n\n
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\n\n\n@article{\n title = {Using UAS hyperspatial RGB imagery for identifying beach zones along the South Texas Coast},\n type = {article},\n year = {2017},\n keywords = {Beach zones partition,Color space transformation,Feature texture,Hyperspatial remote sensing,Shoreline change,UAS remote sensing},\n volume = {9},\n id = {647af99b-98b9-378f-a8a7-0dcf11f1a530},\n created = {2019-07-01T16:02:34.814Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.814Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Su2017},\n private_publication = {false},\n abstract = {Shoreline information is fundamental for understanding coastal dynamics and for implementing environmental policy. The analysis of shoreline variability usually uses a group of shoreline indicators visibly discernible in coastal imagery, such as the seaward vegetation line, wet beach/dry beach line, and instantaneous water line. These indicators partition a beach into four zones: vegetated land, dry sand or debris, wet sand, and water. Unmanned aircraft system (UAS) remote sensing that can acquire imagery with sub-decimeter pixel size provides opportunities to map these four beach zones. This paper attempts to delineate four beach zones based on UAS hyperspatial RGB (Red, Green, and Blue) imagery, namely imagery of sub-decimeter pixel size, and feature textures. Besides the RGB images, this paper also uses USGS (the United States Geological Survey) Munsell HSV (Hue, Saturation, and Value) and CIELUV (the CIE 1976 (L*, u*, v*) color space) images transformed from an RGB image. The four beach zones are identified based on the Gray Level Co-Occurrence Matrix (GLCM) and Local Binary Pattern (LBP) textures. Experiments were conducted with South Padre Island photos acquired by a Nikon D80 camera mounted on the US-16 UAS during March 2014. The results show that USGS Munsell hue can separate land and water reliably. GLCM and LBP textures can slightly improve classification accuracies by both unsupervised and supervised classification techniques. The experiments also indicate that we could reach acceptable results on different photos while using training data from another photo for site-specific UAS remote sensing. The findings imply that parallel processing of classification is feasible. © 2017 by the authors.},\n bibtype = {article},\n author = {Su, Lihong and Gibeaut, James},\n doi = {10.3390/rs9020159},\n journal = {Remote Sensing},\n number = {2}\n}\n\n Shoreline information is fundamental for understanding coastal dynamics and for implementing environmental policy. The analysis of shoreline variability usually uses a group of shoreline indicators visibly discernible in coastal imagery, such as the seaward vegetation line, wet beach/dry beach line, and instantaneous water line. These indicators partition a beach into four zones: vegetated land, dry sand or debris, wet sand, and water. Unmanned aircraft system (UAS) remote sensing that can acquire imagery with sub-decimeter pixel size provides opportunities to map these four beach zones. This paper attempts to delineate four beach zones based on UAS hyperspatial RGB (Red, Green, and Blue) imagery, namely imagery of sub-decimeter pixel size, and feature textures. Besides the RGB images, this paper also uses USGS (the United States Geological Survey) Munsell HSV (Hue, Saturation, and Value) and CIELUV (the CIE 1976 (L*, u*, v*) color space) images transformed from an RGB image. The four beach zones are identified based on the Gray Level Co-Occurrence Matrix (GLCM) and Local Binary Pattern (LBP) textures. Experiments were conducted with South Padre Island photos acquired by a Nikon D80 camera mounted on the US-16 UAS during March 2014. The results show that USGS Munsell hue can separate land and water reliably. GLCM and LBP textures can slightly improve classification accuracies by both unsupervised and supervised classification techniques. The experiments also indicate that we could reach acceptable results on different photos while using training data from another photo for site-specific UAS remote sensing. The findings imply that parallel processing of classification is feasible. © 2017 by the authors.\n
\n\n\n\n \n\n \n \n \n \n \n Condition Survey of Coastal Structures Using UAV and Photogrammetry.\n \n \n \n\n\n \n King, S.; Leon, J., X.; and Corbett, B., B.\n\n\n \n\n\n\n , (June). 2017.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Condition Survey of Coastal Structures Using UAV and Photogrammetry},\n type = {article},\n year = {2017},\n id = {a4aaafbf-2b7c-34d3-acc6-3b194cf8ab6d},\n created = {2019-07-05T13:44:32.578Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.578Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {King2017},\n private_publication = {false},\n bibtype = {article},\n author = {King, Sam and Leon, Javier Xavier and Corbett, Bobbie B},\n number = {June}\n}\n\n \n\n \n \n \n \n \n The non-medicinal plants of a historical tuscan herbarium: The \"Erbario dei Cappuccini di San Quirico d'Orcia\".\n \n \n \n\n\n \n Bonari, G.; Angiolini, C.; Castagnini, P.; and Bonini, I.\n\n\n \n\n\n\n Atti della Societa Toscana di Scienze Naturali, Memorie Serie B, 124(February 2019). 2017.\n \n\n\n\n
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\n\n\n@article{\n title = {The non-medicinal plants of a historical tuscan herbarium: The "Erbario dei Cappuccini di San Quirico d'Orcia"},\n type = {article},\n year = {2017},\n keywords = {Exsiccata,Flora,Italy,Specimen,Tuscany,Vascular plant},\n volume = {124},\n id = {fa3fcd7c-4688-3a8d-92c3-d931ab22b726},\n created = {2019-07-05T13:44:32.610Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.610Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Bonari2017},\n private_publication = {false},\n abstract = {The non-medicinal plants of a historical tuscan herbarium: the "Erbario dei Cappuccini di San Quirico d 'Orcia". A historical herbarium compiled by the Capuchin friars of San Quirico d'Orcia (Siena), dating to the second half of the 18th century, was accurately investigated for the first time. The whole collection is composed of 579 sheets with 348 plants enclosed in 5 boxes. The collection is divided into two main sections: "medicinal plants" and "non-medicinal plants". In this study, we focused on the latter section. The goals were to evaluate the conservation status of each specimen, analyse them as historical-documental source, get information on past investigative methods and compile a list of the specimens. In total, 168 specimens belonging to 44 families, 134 genera and 157 species were revised. The richest families in terms of species were Fabaceae (14.4%), Lamiaceae (13.1%) and Asteraceae (9.0%). About 50% of the specimens are in good conservation status. Since the results of this study show species from various areas, the purpose of this herbarium was probably not solely for the study of the local flora, but also for other purposes (e.g. economic, alimentary and documentary). Moreover, given the variety of the collection it can be assumed that plants were not only collected but that exchanges also occurred with other people from other localities, also abroad. The study of the specimens increases the collection life span, by anticipating the period of the supposed establishment of the collection to 1569, due to a date reported in a label, and extending its conclusion to at least until 1772. This study highlights that much information can be obtained from historical herbaria and it confirms the crucial role of botany in Tuscany in the past. Furthermore, it shows that botany extended beyond Universities, as it does today.},\n bibtype = {article},\n author = {Bonari, G. and Angiolini, C. and Castagnini, P. and Bonini, I.},\n doi = {10.2424/ASTSN.M.2017.02},\n journal = {Atti della Societa Toscana di Scienze Naturali, Memorie Serie B},\n number = {February 2019}\n}\n\n The non-medicinal plants of a historical tuscan herbarium: the \"Erbario dei Cappuccini di San Quirico d 'Orcia\". A historical herbarium compiled by the Capuchin friars of San Quirico d'Orcia (Siena), dating to the second half of the 18th century, was accurately investigated for the first time. The whole collection is composed of 579 sheets with 348 plants enclosed in 5 boxes. The collection is divided into two main sections: \"medicinal plants\" and \"non-medicinal plants\". In this study, we focused on the latter section. The goals were to evaluate the conservation status of each specimen, analyse them as historical-documental source, get information on past investigative methods and compile a list of the specimens. In total, 168 specimens belonging to 44 families, 134 genera and 157 species were revised. The richest families in terms of species were Fabaceae (14.4%), Lamiaceae (13.1%) and Asteraceae (9.0%). About 50% of the specimens are in good conservation status. Since the results of this study show species from various areas, the purpose of this herbarium was probably not solely for the study of the local flora, but also for other purposes (e.g. economic, alimentary and documentary). Moreover, given the variety of the collection it can be assumed that plants were not only collected but that exchanges also occurred with other people from other localities, also abroad. The study of the specimens increases the collection life span, by anticipating the period of the supposed establishment of the collection to 1569, due to a date reported in a label, and extending its conclusion to at least until 1772. This study highlights that much information can be obtained from historical herbaria and it confirms the crucial role of botany in Tuscany in the past. Furthermore, it shows that botany extended beyond Universities, as it does today.\n
\n\n\n\n \n\n \n \n \n \n \n RAPID CHANGE IN COASTAL MORPHOLOGY DUE TO SAND-BYPASSING CAPTURED BY UAV-BASED MONITORING SYSTEM.\n \n \n \n\n\n \n 日本図書館協会 図書館情報学教育部会\n\n\n \n\n\n\n 会 報, (117): 1-15. 2017.\n \n\n\n\n
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\n\n\n\n@article{\n title = {RAPID CHANGE IN COASTAL MORPHOLOGY DUE TO SAND-BYPASSING CAPTURED BY UAV-BASED MONITORING SYSTEM},\n type = {article},\n year = {2017},\n keywords = {image analysis,nearshore bathymetry monitoring,sand - bypassing,shoreline,structure from motion,uav},\n pages = {1-15},\n id = {590c45c0-c617-3e9b-b43a-5a96874136ab},\n created = {2019-07-05T13:44:32.698Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-06T10:16:38.147Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {2017},\n private_publication = {false},\n bibtype = {article},\n author = {日本図書館協会 図書館情報学教育部会, undefined},\n journal = {会 報},\n number = {117}\n}\n\n \n\n \n \n \n \n \n UAS close range remote sensing for mapping coastal environments.\n \n \n \n\n\n \n Papakonstantinou, A.; Topouzelis, K.; and Doukari, M.\n\n\n \n\n\n\n , 1044418(September 2017): 35. 2017.\n \n\n\n\n
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\n\n\n@article{\n title = {UAS close range remote sensing for mapping coastal environments},\n type = {article},\n year = {2017},\n pages = {35},\n volume = {1044418},\n id = {800ed74f-008f-3e12-8936-0c97d3d45075},\n created = {2019-07-05T13:44:32.768Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.768Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Papakonstantinou2017},\n private_publication = {false},\n abstract = {Coastline change and marine litter concentration in shoreline zones are two different emerging problems indicating the vulnerability as well as the quality of a coastal environment. Both problems present spatiotemporal changes due to weather and anthropogenic factors. Traditionally spatiotemporal changes in coastal environments are monitored using high-resolution satellite images and manned surveys. The last years, Unmanned Aerial Systems (UAS) are used as additional tool for monitoring environmental phenomena in sensitive coastal areas. In this study, two different case studies for mapping emerging coastal phenomena i.e. coastline changes and marine litter in Lesvos island, are presented. Both phenomena have increasing interest among scientists monitoring sensitive coastal areas. This paper outlines the integration of UAS for data acquisition and Structure from Motion (SfM) pipeline for the visualization of selected coastal areas in the Aegean Sea. The followed UAS-SfM methodology produces very detailed orthophoto maps. This high resolution spatial information is used for mapping and detecting primarily, marine litter on coastal and underwater zones and secondly, coastline changes and coastal erosion. More specific the produced orthophoto maps analyzed through GIS and with the use of the appropriate cartographic techniques the objective environmental parameters were mapped. Results showed that UAS-SfM pipeline produces geoinformation with high accuracy and spatial resolution that helps scientists to map with confidence environmental changes that take place in shoreline zones.},\n bibtype = {article},\n author = {Papakonstantinou, Apostolos and Topouzelis, Kostantinos and Doukari, Michaela},\n doi = {10.1117/12.2278988},\n number = {September 2017}\n}\n\n Coastline change and marine litter concentration in shoreline zones are two different emerging problems indicating the vulnerability as well as the quality of a coastal environment. Both problems present spatiotemporal changes due to weather and anthropogenic factors. Traditionally spatiotemporal changes in coastal environments are monitored using high-resolution satellite images and manned surveys. The last years, Unmanned Aerial Systems (UAS) are used as additional tool for monitoring environmental phenomena in sensitive coastal areas. In this study, two different case studies for mapping emerging coastal phenomena i.e. coastline changes and marine litter in Lesvos island, are presented. Both phenomena have increasing interest among scientists monitoring sensitive coastal areas. This paper outlines the integration of UAS for data acquisition and Structure from Motion (SfM) pipeline for the visualization of selected coastal areas in the Aegean Sea. The followed UAS-SfM methodology produces very detailed orthophoto maps. This high resolution spatial information is used for mapping and detecting primarily, marine litter on coastal and underwater zones and secondly, coastline changes and coastal erosion. More specific the produced orthophoto maps analyzed through GIS and with the use of the appropriate cartographic techniques the objective environmental parameters were mapped. Results showed that UAS-SfM pipeline produces geoinformation with high accuracy and spatial resolution that helps scientists to map with confidence environmental changes that take place in shoreline zones.\n
\n\n\n\n \n\n \n \n \n \n \n Coastal Dune Surveying Using a Low-Cost Remotely Piloted Aerial System (RPAS).\n \n \n \n\n\n \n Moloney, J., G.; Hilton, M., J.; Sirguey, P.; and Simons-Smith, T.\n\n\n \n\n\n\n Journal of Coastal Research, 345(5): 1244-1255. 2017.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Coastal Dune Surveying Using a Low-Cost Remotely Piloted Aerial System (RPAS)},\n type = {article},\n year = {2017},\n pages = {1244-1255},\n volume = {345},\n id = {82b84f6c-48f8-341e-bbff-cba4e71135e0},\n created = {2019-07-05T13:44:32.808Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.808Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Moloney2017b},\n private_publication = {false},\n bibtype = {article},\n author = {Moloney, Julia G. and Hilton, Mike J. and Sirguey, Pascal and Simons-Smith, Tom},\n doi = {10.2112/jcoastres-d-17-00076.1},\n journal = {Journal of Coastal Research},\n number = {5}\n}\n\n \n\n \n \n \n \n \n \n Seasonal dune and beach monitoring using photogrammetry from UAV surveys to apply in the ICZM on the Ravenna coast (Emilia-Romagna, Italy).\n \n \n \n \n\n\n \n Scarelli, F., M.; Sistilli, F.; Fabbri, S.; Cantelli, L.; Barboza, E., G.; and Gabbianelli, G.\n\n\n \n\n\n\n Remote Sensing Applications: Society and Environment, 7(March): 27-39. 2017.\n \n\n\n\n
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\n\n\n@article{\n title = {Seasonal dune and beach monitoring using photogrammetry from UAV surveys to apply in the ICZM on the Ravenna coast (Emilia-Romagna, Italy)},\n type = {article},\n year = {2017},\n keywords = {Beach and dune changes,Coastal environment monitoring,Coastal management,Dune morphology,Remote sensing},\n pages = {27-39},\n volume = {7},\n websites = {http://dx.doi.org/10.1016/j.rsase.2017.06.003},\n publisher = {Elsevier B.V.},\n id = {e339f846-89a4-3892-9896-4b139e5b4d3b},\n created = {2019-07-05T13:44:32.842Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.842Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Scarelli2017},\n private_publication = {false},\n abstract = {Coastal monitoring is fundamental to studying dune and beach behaviour related to natural and anthropogenic factors as well as coastal management programs. Various tools have been used in recent years for such investigations, including LIDAR, satellite images, terrestrial laser scanning, and photogrammetry, allowing for both qualitative and quantitative analyses. These tools are applied based on the spatial and temporal scales of the coastal zone being studied. In this study, seasonal coastal changes are monitored using high-accuracy and high-quality photogrammetry frames acquired using unmanned aerial vehicle (UAV). The UAV surveys were performed over two sessions during summer 2014 (September) and winter 2015 (March). Additional data were also acquired during the strongest winter storms of the 2014–2015 season. The results of these two UAVs surveys are compared to identify the changes that occurred on beaches and dunes due to: i) anthropogenic changes such as tourist facilities and winter storm defence construction; and ii) the winter storms of 2014–2015 from dune erosion, investigating the magnitude of impact across all coastal zones under study. Moreover, this study demonstrates the efficacy and applicability of photogrammetry from UAVs for coastal work, analyses whether it is a useful technique for scientific studies and authorities to use due to its greater cost/benefit, and also whether it contributes to the application of local Integrated Coastal Zone Management.},\n bibtype = {article},\n author = {Scarelli, Frederico M. and Sistilli, Flavia and Fabbri, Stefano and Cantelli, Luigi and Barboza, Eduardo G. and Gabbianelli, Giovanni},\n doi = {10.1016/j.rsase.2017.06.003},\n journal = {Remote Sensing Applications: Society and Environment},\n number = {March}\n}\n\n Coastal monitoring is fundamental to studying dune and beach behaviour related to natural and anthropogenic factors as well as coastal management programs. Various tools have been used in recent years for such investigations, including LIDAR, satellite images, terrestrial laser scanning, and photogrammetry, allowing for both qualitative and quantitative analyses. These tools are applied based on the spatial and temporal scales of the coastal zone being studied. In this study, seasonal coastal changes are monitored using high-accuracy and high-quality photogrammetry frames acquired using unmanned aerial vehicle (UAV). The UAV surveys were performed over two sessions during summer 2014 (September) and winter 2015 (March). Additional data were also acquired during the strongest winter storms of the 2014–2015 season. The results of these two UAVs surveys are compared to identify the changes that occurred on beaches and dunes due to: i) anthropogenic changes such as tourist facilities and winter storm defence construction; and ii) the winter storms of 2014–2015 from dune erosion, investigating the magnitude of impact across all coastal zones under study. Moreover, this study demonstrates the efficacy and applicability of photogrammetry from UAVs for coastal work, analyses whether it is a useful technique for scientific studies and authorities to use due to its greater cost/benefit, and also whether it contributes to the application of local Integrated Coastal Zone Management.\n
\n\n\n\n \n\n \n \n \n \n \n Terrain changes from images acquired on opportunistic flights by SfM photogrammetry.\n \n \n \n\n\n \n Girod, L.; Nuth, C.; Kaäb, A.; Etzelmüller, B.; and Kohler, J.\n\n\n \n\n\n\n Cryosphere, 11(2): 827-840. 2017.\n \n\n\n\n
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\n\n\n@article{\n title = {Terrain changes from images acquired on opportunistic flights by SfM photogrammetry},\n type = {article},\n year = {2017},\n pages = {827-840},\n volume = {11},\n id = {796d9f5f-ae0b-3ca4-b7de-43b14c663c4b},\n created = {2019-07-05T13:44:32.939Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.939Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Girod2017},\n private_publication = {false},\n abstract = {Structure from motion (SfM) photogrammetric techniques are emerging as powerful tools for surveying, at very high spatial and temporal resolution, geomorphological objects undergoing relatively rapid change, such as glaciers, moraines, or landslides. Modern software and computing power allows production of accurate data from low-cost surveys, compared to traditional photogrammetry conducted from dedicated fixed-wing aircraft missions. We present a method to take advantage of light-transport flights conducting other missions to opportunistically collect imagery for geomorphological analysis. We test and validate an approach in which we attach simple cameras and GNSS receivers to a helicopter to collect data when the flight path covers an area of interest. The novelty in our method is the ability to link GNSS data to images without a physical or electronic link. As a proof of concept, we conducted two test surveys in September 2014 and 2015 over the glacier Midtre Lovénbreen and its forefield, in northwestern Svalbard. We were able to derive elevation change estimates complementing in-situ mass balance measurements using the glaciological method. Furthermore, we detect and analyze a number of processes in the proglacial area, including thermokarst and the evolution of water channels.},\n bibtype = {article},\n author = {Girod, Luc and Nuth, Christopher and Kaäb, Andreas and Etzelmüller, Bernd and Kohler, Jack},\n doi = {10.5194/tc-11-827-2017},\n journal = {Cryosphere},\n number = {2}\n}\n\n Structure from motion (SfM) photogrammetric techniques are emerging as powerful tools for surveying, at very high spatial and temporal resolution, geomorphological objects undergoing relatively rapid change, such as glaciers, moraines, or landslides. Modern software and computing power allows production of accurate data from low-cost surveys, compared to traditional photogrammetry conducted from dedicated fixed-wing aircraft missions. We present a method to take advantage of light-transport flights conducting other missions to opportunistically collect imagery for geomorphological analysis. We test and validate an approach in which we attach simple cameras and GNSS receivers to a helicopter to collect data when the flight path covers an area of interest. The novelty in our method is the ability to link GNSS data to images without a physical or electronic link. As a proof of concept, we conducted two test surveys in September 2014 and 2015 over the glacier Midtre Lovénbreen and its forefield, in northwestern Svalbard. We were able to derive elevation change estimates complementing in-situ mass balance measurements using the glaciological method. Furthermore, we detect and analyze a number of processes in the proglacial area, including thermokarst and the evolution of water channels.\n
\n\n\n\n \n\n \n \n \n \n \n Coastline Change Detection Using Unmanned Aerial Vehicles and Image Aaerial Vehicles and Image Processing.\n \n \n \n\n\n \n Topouzelis, K.; Papakonstantinou, A.; and Doukari, M.\n\n\n \n\n\n\n Fresenius Environmental Bulletin, 26(September): 5564-5571. 2017.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Coastline Change Detection Using Unmanned Aerial Vehicles and Image Aaerial Vehicles and Image Processing},\n type = {article},\n year = {2017},\n pages = {5564-5571},\n volume = {26},\n id = {8d7b42a0-6909-35b1-b2c1-b90647171935},\n created = {2019-07-05T13:44:32.960Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.960Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Topouzelis2017},\n private_publication = {false},\n bibtype = {article},\n author = {Topouzelis, Konstantinos and Papakonstantinou, Apostolos and Doukari, Michaela},\n journal = {Fresenius Environmental Bulletin},\n number = {September}\n}\n\n
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\n \n \n\n \n \n \n \n \n UAV multispectral survey to map soil and crop for precision farming applications.\n \n \n \n\n\n \n Sona, G.; Passoni, D.; Pinto, L.; Pagliari, D.; Masseroni, D.; Ortuani, B.; and Facchi, A.\n\n\n \n\n\n\n International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 2016-Janua: 1023-1029. 2016.\n \n\n\n\n
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\n\n\n@article{\n title = {UAV multispectral survey to map soil and crop for precision farming applications},\n type = {article},\n year = {2016},\n keywords = {DEM,Multispectral images,NDVI,Orthophoto,Precision farming,Soil and crop characterization,UAV},\n pages = {1023-1029},\n volume = {2016-Janua},\n id = {64deeb17-c543-3b5c-a5ab-9dc21d4e4a80},\n created = {2018-07-23T13:44:53.244Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.405Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Sona2016},\n private_publication = {false},\n abstract = {New sensors mounted on UAV and optimal procedures for survey, data acquisition and analysis are continuously developed and tested for applications in precision farming. Procedures to integrate multispectral aerial data about soil and crop and ground-based proximal geophysical data are a recent research topic aimed to delineate homogeneous zones for the management of agricultural inputs (i.e., water, nutrients). Multispectral and multitemporal orthomosaics were produced over a test field (a 100 m × 200 m plot within a maize field), to map vegetation and soil indices, as well as crop heights, with suitable ground resolution. UAV flights were performed in two moments during the crop season, before sowing on bare soil, and just before flowering when maize was nearly at the maximum height. Two cameras, for color (RGB) and false color (NIR-RG) images, were used. The images were processed in Agisoft Photoscan to produce Digital Surface Model (DSM) of bare soil and crop, and multispectral orthophotos. To overcome some difficulties in the automatic searching of matching points for the block adjustment of the crop image, also the scientific software developed by Politecnico of Milan was used to enhance images orientation. Surveys and image processing are described, as well as results about classification of multispectral-multitemporal orthophotos and soil indices.},\n bibtype = {article},\n author = {Sona, Giovanna and Passoni, Daniele and Pinto, Livio and Pagliari, Diana and Masseroni, Daniele and Ortuani, Bianca and Facchi, Arianna},\n doi = {10.5194/isprsarchives-XLI-B1-1023-2016},\n journal = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives}\n}\n\n New sensors mounted on UAV and optimal procedures for survey, data acquisition and analysis are continuously developed and tested for applications in precision farming. Procedures to integrate multispectral aerial data about soil and crop and ground-based proximal geophysical data are a recent research topic aimed to delineate homogeneous zones for the management of agricultural inputs (i.e., water, nutrients). Multispectral and multitemporal orthomosaics were produced over a test field (a 100 m × 200 m plot within a maize field), to map vegetation and soil indices, as well as crop heights, with suitable ground resolution. UAV flights were performed in two moments during the crop season, before sowing on bare soil, and just before flowering when maize was nearly at the maximum height. Two cameras, for color (RGB) and false color (NIR-RG) images, were used. The images were processed in Agisoft Photoscan to produce Digital Surface Model (DSM) of bare soil and crop, and multispectral orthophotos. To overcome some difficulties in the automatic searching of matching points for the block adjustment of the crop image, also the scientific software developed by Politecnico of Milan was used to enhance images orientation. Surveys and image processing are described, as well as results about classification of multispectral-multitemporal orthophotos and soil indices.\n
\n\n\n\n \n\n \n \n \n \n \n Monitoring the topography of a dynamic tidal inlet using UAV imagery.\n \n \n \n\n\n \n Long, N.; Millescamps, B.; Guillot, B.; Pouget, F.; and Bertin, X.\n\n\n \n\n\n\n Remote Sensing, 8(5): 1-18. 2016.\n \n\n\n\n
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\n\n\n@article{\n title = {Monitoring the topography of a dynamic tidal inlet using UAV imagery},\n type = {article},\n year = {2016},\n keywords = {Coastal monitoring,Sandspit,Tidal inlet,UAV photogrammetry},\n pages = {1-18},\n volume = {8},\n id = {c30dd4a0-c281-35eb-bbca-1d8c416a43ac},\n created = {2018-07-23T13:44:53.350Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.638Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Long2016},\n private_publication = {false},\n abstract = {Unmanned Aerial Vehicles (UAVs) are being increasingly used to monitor topographic changes in coastal areas. Compared to Light Detection And Ranging (LiDAR) data or Terrestrial Laser Scanning data, this solution is low-cost and easy to use, while allowing the production of a Digital Surface Model (DSM) with a similar accuracy. Three campaigns were carried out within a three-month period at a lagoon-inlet system (Bonne-Anse Bay, La Palmyre, France), with a flying wing (eBee) combined with a digital camera. Ground Control Points (GCPs), surveyed by the Global Navigation Satellite System (GNSS) and post-processed by differential correction, allowed georeferencing DSMs. Using a photogrammetry process (Structure From Motion algorithm), DSMs and orthomosaics were produced. The DSM accuracy was assessed against the ellipsoidal height of a GNSS profile and Independent Control Points (ICPs) and the root mean square discrepancies were about 10 and 17 cm, respectively. Compared to traditional topographic surveys, this solution allows the accurate representation of bedforms with a wavelength of the order of 1 m and a height of 0.1 m. Finally, changes identified between both main campaigns revealed erosion/accretion areas and the progradation of a sandspit. These results open new perspectives to validate detailed morphological predictions or to parameterize bottom friction in coastal numerical models.},\n bibtype = {article},\n author = {Long, Nathalie and Millescamps, Bastien and Guillot, Benoît and Pouget, Frédéric and Bertin, Xavier},\n doi = {10.3390/rs8050387},\n journal = {Remote Sensing},\n number = {5}\n}\n\n Unmanned Aerial Vehicles (UAVs) are being increasingly used to monitor topographic changes in coastal areas. Compared to Light Detection And Ranging (LiDAR) data or Terrestrial Laser Scanning data, this solution is low-cost and easy to use, while allowing the production of a Digital Surface Model (DSM) with a similar accuracy. Three campaigns were carried out within a three-month period at a lagoon-inlet system (Bonne-Anse Bay, La Palmyre, France), with a flying wing (eBee) combined with a digital camera. Ground Control Points (GCPs), surveyed by the Global Navigation Satellite System (GNSS) and post-processed by differential correction, allowed georeferencing DSMs. Using a photogrammetry process (Structure From Motion algorithm), DSMs and orthomosaics were produced. The DSM accuracy was assessed against the ellipsoidal height of a GNSS profile and Independent Control Points (ICPs) and the root mean square discrepancies were about 10 and 17 cm, respectively. Compared to traditional topographic surveys, this solution allows the accurate representation of bedforms with a wavelength of the order of 1 m and a height of 0.1 m. Finally, changes identified between both main campaigns revealed erosion/accretion areas and the progradation of a sandspit. These results open new perspectives to validate detailed morphological predictions or to parameterize bottom friction in coastal numerical models.\n
\n\n\n\n \n\n \n \n \n \n \n El Niño's warmth devastating reefs worldwide.\n \n \n \n\n\n \n Normile, D.\n\n\n \n\n\n\n Science, 352(6281): 15-16. 2016.\n \n\n\n\n
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\n\n\n@article{\n title = {El Niño's warmth devastating reefs worldwide},\n type = {article},\n year = {2016},\n pages = {15-16},\n volume = {352},\n id = {3b5242ea-8b54-3c04-b9cd-23ec674f6dfc},\n created = {2018-07-23T13:44:53.460Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.427Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Normile2016},\n private_publication = {false},\n abstract = {Even as recently as early March, Australian coral reef scientists still hoped that the legendary Great Barrier Reef (GBR) would get off lightly in the current El Niño, the climate phenomenon that brings unusually warm water to the equatorial Pacific, stressing and often killing corals. No such luck. On 20 March, the GBR Marine Park Authority in Townsville, Australia, reported that divers were finding extensive coral bleaching—the loss of symbiotic algae—in remote northern areas of the reef. Many sections were already dead. Subsequent flyover surveys have confirmed an unfolding disaster, with only four of 520 reefs appearing unscathed. The GBR joins a lengthening list of reefs bleached because of the El Niño that started in late 2014. It is now the longest bleaching event ever, and many more corals worldwide will likely die.},\n bibtype = {article},\n author = {Normile, Dennis},\n doi = {10.1126/science.352.6281.15},\n journal = {Science},\n number = {6281}\n}\n\n Even as recently as early March, Australian coral reef scientists still hoped that the legendary Great Barrier Reef (GBR) would get off lightly in the current El Niño, the climate phenomenon that brings unusually warm water to the equatorial Pacific, stressing and often killing corals. No such luck. On 20 March, the GBR Marine Park Authority in Townsville, Australia, reported that divers were finding extensive coral bleaching—the loss of symbiotic algae—in remote northern areas of the reef. Many sections were already dead. Subsequent flyover surveys have confirmed an unfolding disaster, with only four of 520 reefs appearing unscathed. The GBR joins a lengthening list of reefs bleached because of the El Niño that started in late 2014. It is now the longest bleaching event ever, and many more corals worldwide will likely die.\n
\n\n\n\n \n\n \n \n \n \n \n Beach volume change using UAV photogrammetry Songjung beach, Korea.\n \n \n \n\n\n \n Yoo, C., I.; and Oh, T., S.\n\n\n \n\n\n\n International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 41(July): 1201-1205. 2016.\n \n\n\n\n
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\n\n\n@article{\n title = {Beach volume change using UAV photogrammetry Songjung beach, Korea},\n type = {article},\n year = {2016},\n keywords = {Beach volume change,Coastal topographic change,RTK-VRS,Unmanned aerial vehicle (UAV)},\n pages = {1201-1205},\n volume = {41},\n id = {4970d19a-2347-3ac7-9f3c-8e4ffbe013f0},\n created = {2019-07-01T16:02:34.583Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.583Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Yoo2016},\n private_publication = {false},\n abstract = {Natural beach is controlled by many factors related to wave and tidal forces, wind, sediment, and initial topography. For this reason, if numerous topographic data of beach is accurately collected, coastal erosion/acceleration is able to be assessed and clarified. Generally, however, many studies on coastal erosion have limitation to analyse the whole beach, carried out of partial area as like shoreline (horizontal 2D) and beach profile (vertical 2D) on account of limitation of numerical simulation. This is an important application for prevention of coastal erosion, and UAV photogrammetry is also used to 3D topographic data. This paper analyses the use of unmanned aerial vehicles (UAV) to 3D map and beach volume change. UAV (Quadcopter) equipped with a non-metric camera was used to acquire images in Songjung beach which is located south-east Korea peninsula. The dynamics of beach topography, its geometric properties and estimates of eroded and deposited sand volumes were determined by combining elevation data with quarterly RTK-VRS measurements. To explore the new possibilities for assessment of coastal change we have developed a methodology for 3D analysis of coastal topography evolution based on existing high resolution elevation data combined with low coast, UAV and on-ground RTK-VRS surveys. DSMs were obtained by stereo-matching using Agisoft Photoscan. Using GCPs the vertical accuracy of the DSMs was found to be 10 cm or better. The resulting datasets were integrated in a local coordinates and the method proved to be a very useful fool for the detection of areas where coastal erosion occurs and for the quantification of beach change. The value of such analysis is illustrated by applications to coastal of South Korea sites that face significant management challenges.},\n bibtype = {article},\n author = {Yoo, C. I. and Oh, T. S.},\n doi = {10.5194/isprsarchives-XLI-B8-1201-2016},\n journal = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives},\n number = {July}\n}\n\n Natural beach is controlled by many factors related to wave and tidal forces, wind, sediment, and initial topography. For this reason, if numerous topographic data of beach is accurately collected, coastal erosion/acceleration is able to be assessed and clarified. Generally, however, many studies on coastal erosion have limitation to analyse the whole beach, carried out of partial area as like shoreline (horizontal 2D) and beach profile (vertical 2D) on account of limitation of numerical simulation. This is an important application for prevention of coastal erosion, and UAV photogrammetry is also used to 3D topographic data. This paper analyses the use of unmanned aerial vehicles (UAV) to 3D map and beach volume change. UAV (Quadcopter) equipped with a non-metric camera was used to acquire images in Songjung beach which is located south-east Korea peninsula. The dynamics of beach topography, its geometric properties and estimates of eroded and deposited sand volumes were determined by combining elevation data with quarterly RTK-VRS measurements. To explore the new possibilities for assessment of coastal change we have developed a methodology for 3D analysis of coastal topography evolution based on existing high resolution elevation data combined with low coast, UAV and on-ground RTK-VRS surveys. DSMs were obtained by stereo-matching using Agisoft Photoscan. Using GCPs the vertical accuracy of the DSMs was found to be 10 cm or better. The resulting datasets were integrated in a local coordinates and the method proved to be a very useful fool for the detection of areas where coastal erosion occurs and for the quantification of beach change. The value of such analysis is illustrated by applications to coastal of South Korea sites that face significant management challenges.\n
\n\n\n\n \n\n \n \n \n \n \n Coastline Zones Identification and 3D Coastal Mapping Using UAV Spatial Data.\n \n \n \n\n\n \n Papakonstantinou, A.; Topouzelis, K.; and Pavlogeorgatos, G.\n\n\n \n\n\n\n ISPRS International Journal of Geo-Information, 5(6): 75. 2016.\n \n\n\n\n
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\n\n\n@article{\n title = {Coastline Zones Identification and 3D Coastal Mapping Using UAV Spatial Data},\n type = {article},\n year = {2016},\n keywords = {" UAV data acquisition,3D geovisualization,GEOBIA,coastal mapping,digital surface model",structure from motion},\n pages = {75},\n volume = {5},\n id = {d6156ead-38e1-3230-bc21-57f14f494ad4},\n created = {2019-07-01T16:02:34.796Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.796Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Papakonstantinou2016},\n private_publication = {false},\n abstract = {Spatial data acquisition is a critical process for the identification of the coastline and coastal zones for scientists involved in the study of coastal morphology. The availability of very high-resolution digital surface models (DSMs) and orthophoto maps is of increasing interest to all scientists, especially those monitoring small variations in the earth's surface, such as coastline morphology. In this article, we present a methodology to acquire and process high resolution data for coastal zones acquired by a vertical take off and landing (VTOL) unmanned aerial vehicle (UAV) attached to a small commercial camera. The proposed methodology integrated computer vision algorithms for 3D representation with image processing techniques for analysis. The computer vision algorithms used the structure from motion (SfM) approach while the image processing techniques used the geographic object-based image analysis (GEOBIA) with fuzzy classification. The SfM pipeline was used to construct the DSMs and orthophotos with a measurement precision in the order of centimeters. Consequently, GEOBIA was used to create objects by grouping pixels that had the same spectral characteristics together and extracting statistical features from them. The objects produced were classified by fuzzy classification using the statistical features as input. The classification output classes included beach composition (sand, rubble, and rocks) and sub-surface classes (seagrass, sand, algae, and rocks). The methodology was applied to two case studies of coastal areas with different compositions: a sandy beach with a large face and a rubble beach with a small face. Both are threatened by beach erosion and have been degraded by the action of sea storms. Results show that the coastline, which is the low limit of the swash zone, was detected successfully by both the 3D representations and the image classifications. Furthermore, several traces representing previous sea states were successfully recognized in the case of the sandy beach, while the erosion and beach crests were detected in the case of the rubble beach. The achieved level of detail of the 3D representations revealed new beach characteristics, including erosion crests, berm zones, and sand dunes. In conclusion, the UAV SfM workflow provides information in a spatial resolution that permits the study of coastal changes with confidence and provides accurate 3D visualizations of the beach zones, even for areas with complex topography. The overall results show that the presented methodology is a robust tool for the classification, 3D visualization, and mapping of coastal morphology.},\n bibtype = {article},\n author = {Papakonstantinou, Apostolos and Topouzelis, Konstantinos and Pavlogeorgatos, Gerasimos},\n doi = {10.3390/ijgi5060075},\n journal = {ISPRS International Journal of Geo-Information},\n number = {6}\n}\n\n Spatial data acquisition is a critical process for the identification of the coastline and coastal zones for scientists involved in the study of coastal morphology. The availability of very high-resolution digital surface models (DSMs) and orthophoto maps is of increasing interest to all scientists, especially those monitoring small variations in the earth's surface, such as coastline morphology. In this article, we present a methodology to acquire and process high resolution data for coastal zones acquired by a vertical take off and landing (VTOL) unmanned aerial vehicle (UAV) attached to a small commercial camera. The proposed methodology integrated computer vision algorithms for 3D representation with image processing techniques for analysis. The computer vision algorithms used the structure from motion (SfM) approach while the image processing techniques used the geographic object-based image analysis (GEOBIA) with fuzzy classification. The SfM pipeline was used to construct the DSMs and orthophotos with a measurement precision in the order of centimeters. Consequently, GEOBIA was used to create objects by grouping pixels that had the same spectral characteristics together and extracting statistical features from them. The objects produced were classified by fuzzy classification using the statistical features as input. The classification output classes included beach composition (sand, rubble, and rocks) and sub-surface classes (seagrass, sand, algae, and rocks). The methodology was applied to two case studies of coastal areas with different compositions: a sandy beach with a large face and a rubble beach with a small face. Both are threatened by beach erosion and have been degraded by the action of sea storms. Results show that the coastline, which is the low limit of the swash zone, was detected successfully by both the 3D representations and the image classifications. Furthermore, several traces representing previous sea states were successfully recognized in the case of the sandy beach, while the erosion and beach crests were detected in the case of the rubble beach. The achieved level of detail of the 3D representations revealed new beach characteristics, including erosion crests, berm zones, and sand dunes. In conclusion, the UAV SfM workflow provides information in a spatial resolution that permits the study of coastal changes with confidence and provides accurate 3D visualizations of the beach zones, even for areas with complex topography. The overall results show that the presented methodology is a robust tool for the classification, 3D visualization, and mapping of coastal morphology.\n
\n\n\n\n \n\n \n \n \n \n \n Natural and Anthropogenic Coastal System Comparison Using DSM from a Low Cost UAV Survey (Capão Novo, RS/Brazil).\n \n \n \n\n\n \n Scarelli, F., M.; Cantelli, L.; Barboza, E., G.; Rosa, M., L., C.; and Gabbianelli, G.\n\n\n \n\n\n\n Journal of Coastal Research, 75(sp1): 1232-1236. 2016.\n \n\n\n\n
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\n\n\n@article{\n title = {Natural and Anthropogenic Coastal System Comparison Using DSM from a Low Cost UAV Survey (Capão Novo, RS/Brazil)},\n type = {article},\n year = {2016},\n pages = {1232-1236},\n volume = {75},\n id = {7afbfecb-94b4-3b24-aa89-a852ba4cb2e3},\n created = {2019-07-01T16:02:34.841Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.841Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Scarelli2016},\n private_publication = {false},\n abstract = {© Coastal Education and Research Foundation, Inc. 2016. In many cases, unplanned urbanization is the main factor that causes a decrease in coastal resilience. This paper compares the differences between the anthropogenic and natural coastal zone, based on the morphological dune reconstruction, using a low cost UAV (unmanned aerial vehicle) survey and the photogrammetric reconstruction method. The study area is in the Northern Littoral of Rio Grande do Sul State, where the dunes have few manchanges and are adjacent to an anthropogenic zone with a highly modified beach/dune system. By photogrammetric reconstruction it was possible to obtain a high-resolution DSM (Digital Surface Model) and a high-resolution othophoto to analyse differences in morphology. Data acquired by UAV's are important to coastal managers and decision makers as they can collect high-resolution data and be used for Integrated Coastal Zone Management. Moreover this work propose a low cost method for obtaining a high-resolution data for researchers and local authorities.},\n bibtype = {article},\n author = {Scarelli, Frederico M. and Cantelli, Luigi and Barboza, Eduardo G. and Rosa, Maria Luiza C.C. and Gabbianelli, Giovani},\n doi = {10.2112/si75-247.1},\n journal = {Journal of Coastal Research},\n number = {sp1}\n}\n\n © Coastal Education and Research Foundation, Inc. 2016. In many cases, unplanned urbanization is the main factor that causes a decrease in coastal resilience. This paper compares the differences between the anthropogenic and natural coastal zone, based on the morphological dune reconstruction, using a low cost UAV (unmanned aerial vehicle) survey and the photogrammetric reconstruction method. The study area is in the Northern Littoral of Rio Grande do Sul State, where the dunes have few manchanges and are adjacent to an anthropogenic zone with a highly modified beach/dune system. By photogrammetric reconstruction it was possible to obtain a high-resolution DSM (Digital Surface Model) and a high-resolution othophoto to analyse differences in morphology. Data acquired by UAV's are important to coastal managers and decision makers as they can collect high-resolution data and be used for Integrated Coastal Zone Management. Moreover this work propose a low cost method for obtaining a high-resolution data for researchers and local authorities.\n
\n\n\n\n \n\n \n \n \n \n \n \n Close-range airborne Structure-from-Motion Photogrammetry for high-resolution beach morphometric surveys: Examples from an embayed rotating beach.\n \n \n \n \n\n\n \n Brunier, G.; Fleury, J.; Anthony, E., J.; Gardel, A.; and Dussouillez, P.\n\n\n \n\n\n\n Geomorphology, 261(May): 76-88. 2016.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Close-range airborne Structure-from-Motion Photogrammetry for high-resolution beach morphometric surveys: Examples from an embayed rotating beach},\n type = {article},\n year = {2016},\n keywords = {Beach morphometry,Beach rotation,Digital surface model,Low-cost photogrammetry,Structure-from-Motion photogrammetry},\n pages = {76-88},\n volume = {261},\n websites = {http://dx.doi.org/10.1016/j.geomorph.2016.02.025},\n publisher = {Elsevier B.V.},\n id = {805fa548-0b1a-3247-9881-17e7e3f2a765},\n created = {2019-07-05T13:44:32.497Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.497Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Brunier2016},\n private_publication = {false},\n abstract = {The field of photogrammetry has seen significant new developments essentially related to the emergence of new computer-based applications that have fostered the growth of the workflow technique called Structure-from-Motion (SfM). Low-cost, user-friendly SfM photogrammetry offers interesting new perspectives in coastal and other fields of geomorphology requiring high-resolution topographic data. The technique enables the construction of topographic products such as digital surface models (DSMs) and orthophotographs, and combines the advantages of the reproducibility of GPS surveys and the high density and accuracy of airborne LiDAR, but at very advantageous cost compared to the latter. Three SfM-based photogrammetric experiments were conducted on the embayed beach of Montjoly in Cayenne, French Guiana, between October 2013 and 2014, in order to map morphological changes and quantify sediment budgets. The beach is affected by a process of rotation induced by the alongshore migration of mud banks from the mouths of the Amazon River that generate spatial and temporal changes in wave refraction and incident wave angles, thus generating the reversals in longshore drift that characterise this process. Sub-vertical aerial photographs of the beach were acquired from a microlight aircraft that flew alongshore at low elevation (275 m). The flight plan included several parallel flight axes with an overlap of 85% between pictures in the lengthwise direction and 50% between paths. Targets of 40 × 40 cm, georeferenced by RTK-DGPS, were placed on the beach, spaced 100 m apart. These targets served in optimizing the model and in producing georeferenced 3D products. RTK-GPS measurements of random points and cross-shore profiles were used to validate the photogrammetry results and assess their accuracy. We produced dense point clouds with 150 to 200 points/m 2 , from which we generated DSMs and orthophotos with respective resolutions of 10 cm and 5 cm. Compared to the GPS control points, we obtained a mean vertical accuracy less than ±. 10 cm, with a maximum of 20 cm in marginal sectors with sparse vegetation and in the lower intertidal zone where water-saturated surfaces generated lower-resolution data as a result of a lack of coherence between photographs. The overall results show that SfM photogrammetry is a robust tool for beach morphological and sediment budget surveys. Our SfM workflow enabled the discrimination of beach surface features at a scale of a few tens of centimetres despite the low textural contrasts exhibited by the quartz beach sand and the relatively uniform upper beach topography, as well as the calculation of beach sediment budgets. 66,000 m 3 of sand were removed from the northern sector of the beach, of which 22,000 m 3 were transferred to the southern sector in the course of rotation. Finally, we briefly highlight: (1) the advantages of SfM photogrammetry compared to other high-resolution survey methods, (2) the advantages and disadvantages of, respectively, a microlight aircraft and an unmanned aerial vehicle (UAV) in undertaking SfM photogrammetry, and (3) areas of potential future improvement of the SfM workflow technique. These concern more extensive cross-shore deployment of ground control points to reduce possible tilt, and oblique cross-shore photography to improve parallax.},\n bibtype = {article},\n author = {Brunier, Guillaume and Fleury, Jules and Anthony, Edward J. and Gardel, Antoine and Dussouillez, Philippe},\n doi = {10.1016/j.geomorph.2016.02.025},\n journal = {Geomorphology},\n number = {May}\n}\n\n The field of photogrammetry has seen significant new developments essentially related to the emergence of new computer-based applications that have fostered the growth of the workflow technique called Structure-from-Motion (SfM). Low-cost, user-friendly SfM photogrammetry offers interesting new perspectives in coastal and other fields of geomorphology requiring high-resolution topographic data. The technique enables the construction of topographic products such as digital surface models (DSMs) and orthophotographs, and combines the advantages of the reproducibility of GPS surveys and the high density and accuracy of airborne LiDAR, but at very advantageous cost compared to the latter. Three SfM-based photogrammetric experiments were conducted on the embayed beach of Montjoly in Cayenne, French Guiana, between October 2013 and 2014, in order to map morphological changes and quantify sediment budgets. The beach is affected by a process of rotation induced by the alongshore migration of mud banks from the mouths of the Amazon River that generate spatial and temporal changes in wave refraction and incident wave angles, thus generating the reversals in longshore drift that characterise this process. Sub-vertical aerial photographs of the beach were acquired from a microlight aircraft that flew alongshore at low elevation (275 m). The flight plan included several parallel flight axes with an overlap of 85% between pictures in the lengthwise direction and 50% between paths. Targets of 40 × 40 cm, georeferenced by RTK-DGPS, were placed on the beach, spaced 100 m apart. These targets served in optimizing the model and in producing georeferenced 3D products. RTK-GPS measurements of random points and cross-shore profiles were used to validate the photogrammetry results and assess their accuracy. We produced dense point clouds with 150 to 200 points/m 2 , from which we generated DSMs and orthophotos with respective resolutions of 10 cm and 5 cm. Compared to the GPS control points, we obtained a mean vertical accuracy less than ±. 10 cm, with a maximum of 20 cm in marginal sectors with sparse vegetation and in the lower intertidal zone where water-saturated surfaces generated lower-resolution data as a result of a lack of coherence between photographs. The overall results show that SfM photogrammetry is a robust tool for beach morphological and sediment budget surveys. Our SfM workflow enabled the discrimination of beach surface features at a scale of a few tens of centimetres despite the low textural contrasts exhibited by the quartz beach sand and the relatively uniform upper beach topography, as well as the calculation of beach sediment budgets. 66,000 m 3 of sand were removed from the northern sector of the beach, of which 22,000 m 3 were transferred to the southern sector in the course of rotation. Finally, we briefly highlight: (1) the advantages of SfM photogrammetry compared to other high-resolution survey methods, (2) the advantages and disadvantages of, respectively, a microlight aircraft and an unmanned aerial vehicle (UAV) in undertaking SfM photogrammetry, and (3) areas of potential future improvement of the SfM workflow technique. These concern more extensive cross-shore deployment of ground control points to reduce possible tilt, and oblique cross-shore photography to improve parallax.\n
\n\n\n\n \n\n \n \n \n \n \n A tale of three storms: Morphologic response of Broadkill Beach, Delaware, following Superstorm Sandy, Hurricane Joaquin, and Winter Storm Jonas.\n \n \n \n\n\n \n Dohner, S.; Trembanis, A.; and Miller, D.\n\n\n \n\n\n\n Shore & Beach, 84(4): 3-9. 2016.\n \n\n\n\n
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\n\n\n@article{\n title = {A tale of three storms: Morphologic response of Broadkill Beach, Delaware, following Superstorm Sandy, Hurricane Joaquin, and Winter Storm Jonas},\n type = {article},\n year = {2016},\n pages = {3-9},\n volume = {84},\n id = {216f2d12-3a75-3f3d-86d9-a4723785456e},\n created = {2019-07-05T13:44:32.538Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.538Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Dohner2016},\n private_publication = {false},\n abstract = {Extreme stochastic events such as tropical storms and nor’easters test coastal resiliency with strong winds, large waves, high storm surge, dune overwash, and inundation. Communities can increase their resiliency with shoreline protection and this is typi- cally done with hard or semi-hard structures like sea walls, breakwaters, dikes, or via sand nourishment. Superstorm Sandy (2012), Hurricane Joaquin (2015), and Winter Storm Jonas (2016) were some of the most destructive on record, with the highest significant wave heights and storm surges recorded in the Delaware Bay. Specifi- cally, at Broadkill Beach, Superstorm Sandy struck during a lull in its nourishment timeline. RTK GPS surveys showed sediment volume losses of over 24,000 m3 . The USACE nourished Broadkill in 2015 with 997,700 m3 of dredged material to create an extended berm and large dune. This protection prevented inundation and major erosion during Hurricane Joaquin and Winter Storm Jonas where approximately 2% or less of sand was removed during both storms. GPS monitoring of Broadkill has shown the ability of the nourishment project to protect the surrounding community from these extreme storm events. Only longer monitoring of the site will determine how Prime Hook National Refuge, the marsh area to the west of Broadkill Beach, and the wildlife of the Delaware Bay interacts with and is affected by the large-scale nourishment.},\n bibtype = {article},\n author = {Dohner, S.M. and Trembanis, A.C. and Miller, D.C.},\n journal = {Shore & Beach},\n number = {4}\n}\n\n Extreme stochastic events such as tropical storms and nor’easters test coastal resiliency with strong winds, large waves, high storm surge, dune overwash, and inundation. Communities can increase their resiliency with shoreline protection and this is typi- cally done with hard or semi-hard structures like sea walls, breakwaters, dikes, or via sand nourishment. Superstorm Sandy (2012), Hurricane Joaquin (2015), and Winter Storm Jonas (2016) were some of the most destructive on record, with the highest significant wave heights and storm surges recorded in the Delaware Bay. Specifi- cally, at Broadkill Beach, Superstorm Sandy struck during a lull in its nourishment timeline. RTK GPS surveys showed sediment volume losses of over 24,000 m3 . The USACE nourished Broadkill in 2015 with 997,700 m3 of dredged material to create an extended berm and large dune. This protection prevented inundation and major erosion during Hurricane Joaquin and Winter Storm Jonas where approximately 2% or less of sand was removed during both storms. GPS monitoring of Broadkill has shown the ability of the nourishment project to protect the surrounding community from these extreme storm events. Only longer monitoring of the site will determine how Prime Hook National Refuge, the marsh area to the west of Broadkill Beach, and the wildlife of the Delaware Bay interacts with and is affected by the large-scale nourishment.\n
\n\n\n\n \n\n \n \n \n \n \n Accuracy assessment of coastal topography derived from uav images.\n \n \n \n\n\n \n Long, N.; Millescamps, B.; Pouget, F.; Dumon, A.; Lachaussée, N.; and Bertin, X.\n\n\n \n\n\n\n International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 2016-Janua(September): 1127-1134. 2016.\n \n\n\n\n
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\n\n\n@article{\n title = {Accuracy assessment of coastal topography derived from uav images},\n type = {article},\n year = {2016},\n keywords = {Accuracy,Coastal monitoring,Digital surface model,UAV photogrammetry},\n pages = {1127-1134},\n volume = {2016-Janua},\n id = {2d10c176-53ed-3d48-a122-95edc108755b},\n created = {2019-07-05T13:44:32.646Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.646Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Long2016a},\n private_publication = {false},\n abstract = {To monitor coastal environments, Unmanned Aerial Vehicle (UAV) is a low-cost and easy to use solution to enable data acquisition with high temporal frequency and spatial resolution. Compared to Light Detection And Ranging (LiDAR) or Terrestrial Laser Scanning (TLS), this solution produces Digital Surface Model (DSM) with a similar accuracy. To evaluate the DSM accuracy on a coastal environment, a campaign was carried out with a flying wing (eBee) combined with a digital camera. Using the Photoscan software and the photogrammetry process (Structure From Motion algorithm), a DSM and an orthomosaic were produced. Compared to GNSS surveys, the DSM accuracy is estimated. Two parameters are tested: the influence of the methodology (number and distribution of Ground Control Points, GCPs) and the influence of spatial image resolution (4.6 cm vs 2 cm). The results show that this solution is able to reproduce the topography of a coastal area with a high vertical accuracy (< 10 cm). The georeferencing of the DSM require a homogeneous distribution and a large number of GCPs. The accuracy is correlated with the number of GCPs (use 19 GCPs instead of 10 allows to reduce the difference of 4 cm); the required accuracy should be dependant of the research problematic. Last, in this particular environment, the presence of very small water surfaces on the sand bank does not allow to improve the accuracy when the spatial resolution of images is decreased.},\n bibtype = {article},\n author = {Long, N. and Millescamps, B. and Pouget, F. and Dumon, A. and Lachaussée, N. and Bertin, X.},\n doi = {10.5194/isprsarchives-XLI-B1-1127-2016},\n journal = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives},\n number = {September}\n}\n\n To monitor coastal environments, Unmanned Aerial Vehicle (UAV) is a low-cost and easy to use solution to enable data acquisition with high temporal frequency and spatial resolution. Compared to Light Detection And Ranging (LiDAR) or Terrestrial Laser Scanning (TLS), this solution produces Digital Surface Model (DSM) with a similar accuracy. To evaluate the DSM accuracy on a coastal environment, a campaign was carried out with a flying wing (eBee) combined with a digital camera. Using the Photoscan software and the photogrammetry process (Structure From Motion algorithm), a DSM and an orthomosaic were produced. Compared to GNSS surveys, the DSM accuracy is estimated. Two parameters are tested: the influence of the methodology (number and distribution of Ground Control Points, GCPs) and the influence of spatial image resolution (4.6 cm vs 2 cm). The results show that this solution is able to reproduce the topography of a coastal area with a high vertical accuracy (< 10 cm). The georeferencing of the DSM require a homogeneous distribution and a large number of GCPs. The accuracy is correlated with the number of GCPs (use 19 GCPs instead of 10 allows to reduce the difference of 4 cm); the required accuracy should be dependant of the research problematic. Last, in this particular environment, the presence of very small water surfaces on the sand bank does not allow to improve the accuracy when the spatial resolution of images is decreased.\n
\n\n\n\n \n\n \n \n \n \n \n Applying UAV and photogrammetry to monitor the morphological changes along the beach in Penghu islands.\n \n \n \n\n\n \n Lu, C., H.\n\n\n \n\n\n\n International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 41(July): 1153-1156. 2016.\n \n\n\n\n
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\n\n\n@article{\n title = {Applying UAV and photogrammetry to monitor the morphological changes along the beach in Penghu islands},\n type = {article},\n year = {2016},\n keywords = {Beach monitoring,Digital surface model,Tombolo,UAV},\n pages = {1153-1156},\n volume = {41},\n id = {a99b6893-7ad0-339e-a80b-ee07bd85c27c},\n created = {2019-07-05T13:44:32.666Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.666Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Lu2016},\n private_publication = {false},\n abstract = {Penghu islands, in the southern Taiwan Strait, is a remnant of a middle-late Miocene basaltic shield volcano. We present a procedure to use UAV (Unmanned Aerial Vehicles) to perform photogrammetry survey and monitoring analysis in beach evolution scenarios. The aim of this study is to understand spatial-temporal change along the sandy beach in Penghu islands, especially as for the effects of typhoon and coastal structures. According to the study result, this example of application is provided to show the results and the potential of this methodology in real beach changes. In addition, we found the typhoon and coastal structures play important roles to shape the beach morphology and its evolution. The result of beach monitoring reveals that the reduction and change of sand volume in Shanshui beach resulted from the placement of detached breakwater complexes. This coastal structure likely resulted in the development of tombolo and therefor make the beach unstable and subject to conduct rip current and more erosion.},\n bibtype = {article},\n author = {Lu, Cheng Hao},\n doi = {10.5194/isprsarchives-XLI-B8-1153-2016},\n journal = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives},\n number = {July}\n}\n\n Penghu islands, in the southern Taiwan Strait, is a remnant of a middle-late Miocene basaltic shield volcano. We present a procedure to use UAV (Unmanned Aerial Vehicles) to perform photogrammetry survey and monitoring analysis in beach evolution scenarios. The aim of this study is to understand spatial-temporal change along the sandy beach in Penghu islands, especially as for the effects of typhoon and coastal structures. According to the study result, this example of application is provided to show the results and the potential of this methodology in real beach changes. In addition, we found the typhoon and coastal structures play important roles to shape the beach morphology and its evolution. The result of beach monitoring reveals that the reduction and change of sand volume in Shanshui beach resulted from the placement of detached breakwater complexes. This coastal structure likely resulted in the development of tombolo and therefor make the beach unstable and subject to conduct rip current and more erosion.\n
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\n \n \n\n \n \n \n \n \n \n Science, technology and the future of small autonomous drones.\n \n \n \n \n\n\n \n Floreano, D.; and Wood, R., J.\n\n\n \n\n\n\n 2015.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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\n\n\n@misc{\n title = {Science, technology and the future of small autonomous drones},\n type = {misc},\n year = {2015},\n source = {Nature},\n pages = {460-466},\n volume = {521},\n issue = {7553},\n websites = {http://www.nature.com/doifinder/10.1038/nature14542,http://www.nature.com/doifinder/10.1038/nature14542%5Cnhttp://www.nature.com/nature/journal/v521/n7553/full/nature14542.html},\n id = {236abb78-3080-30cb-9f05-3b2220bec99a},\n created = {2018-07-21T16:18:01.816Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T10:11:56.335Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Floreano2015},\n private_publication = {false},\n abstract = {We are witnessing the advent of a new era of robots — drones — that can autonomously fly in natural and man-made environments. These robots, often associated with defence applications, could have a major impact on civilian tasks, including transportation, communication, agriculture, disaster mitigation and environment preservation. Autonomous flight in confined spaces presents great scientific and technical challenges owing to the energetic cost of staying airborne and to the perceptual intelligence required to negotiate complex environments. We identify scientific and technological advances that are expected to translate, within appropriate regulatory frameworks, into pervasive use of autonomous drones for civilian applications.},\n bibtype = {misc},\n author = {Floreano, Dario and Wood, Robert J.},\n doi = {10.1038/nature14542}\n}\n\n We are witnessing the advent of a new era of robots — drones — that can autonomously fly in natural and man-made environments. These robots, often associated with defence applications, could have a major impact on civilian tasks, including transportation, communication, agriculture, disaster mitigation and environment preservation. Autonomous flight in confined spaces presents great scientific and technical challenges owing to the energetic cost of staying airborne and to the perceptual intelligence required to negotiate complex environments. We identify scientific and technological advances that are expected to translate, within appropriate regulatory frameworks, into pervasive use of autonomous drones for civilian applications.\n
\n\n\n\n \n\n \n \n \n \n \n \n Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry.\n \n \n \n \n\n\n \n Woodget, a., S.; Carbonneau, P., E.; Visser, F.; and Maddock, I., P.\n\n\n \n\n\n\n Earth Surface Processes and Landforms, 40(August 2014): n/a-n/a. 8 2015.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry},\n type = {article},\n year = {2015},\n keywords = {Aug. 2014.,F. Visser,P. E. Carbonneau,[1] a. S. Woodget,and I. P. Maddock,no. August 2014,p. n/a–n/a,vol. 64,“Quantifying submerged fluvial topography using hy,” Earth Surf. Process. Landforms},\n pages = {n/a-n/a},\n volume = {40},\n websites = {http://doi.wiley.com/10.1002/esp.3613},\n month = {8},\n day = {5},\n id = {f172ba64-b02e-3a27-b14c-bc1d08813ebf},\n created = {2018-07-21T16:18:04.247Z},\n accessed = {2014-12-20},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.247Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Woodget2014},\n private_publication = {false},\n bibtype = {article},\n author = {Woodget, a. S. and Carbonneau, P. E. and Visser, F. and Maddock, I. P.},\n doi = {10.1002/esp.3613},\n journal = {Earth Surface Processes and Landforms},\n number = {August 2014}\n}\n\n \n\n \n \n \n \n \n Image-based surface reconstruction in geomorphometry – merits, limits and developments of a promising tool for geoscientists.\n \n \n \n\n\n \n Eltner, A.; Kaiser, A.; Castillo, C.; Rock, G.; Neugirg, F.; and Abellan, A.\n\n\n \n\n\n\n Earth Surface Dynamics Discussions,1445-1508. 2015.\n \n\n\n\n
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\n\n\n@article{\n title = {Image-based surface reconstruction in geomorphometry – merits, limits and developments of a promising tool for geoscientists},\n type = {article},\n year = {2015},\n pages = {1445-1508},\n id = {bd7a5f85-9edb-3302-8626-4cc51b61e545},\n created = {2018-07-23T13:44:53.209Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:53.209Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {Photogrammetry and geosciences are closely linked since the late 19th century. To- day, a wide range of commercial and open-source software enable non-experts users to obtain high-quality 3-D datasets of the environment, which was formerly reserved to remote sensing experts, geodesists or owners of cost-intensive metric airborne imag- ing systems. Complex tridimensional geomorphological features can be easily recon- structed from images captured with consumer grade cameras. Furthermore, rapid de- velopments in UAV technology allow for high quality aerial surveying and orthophotog- raphy generation at a relatively low-cost. The increasing computing capacities during the last decade, together with the development of high-performance digital sensors and the important software innovations developed by other fields of research (e.g. computer vision and visual perception) has extended the rigorous processing of stereoscopic image data to a 3-D point cloud generation from a series of non-calibrated images. Structure from motion methods offer algorithms, e.g. robust feature detectors like the scale-invariant feature transformfor 2-D imagery, which allowfor efficient and automatic orientation of large image sets without further data acquisition information. Neverthe- less, the importance of carrying out correct fieldwork strategies, using proper camera settings, ground control points and ground truth for understanding the different sources of errors still need to be adapted in the common scientific practice. This review manuscript intends not only to summarize the present state of published research on structure-from-motion photogrammetry applications in geomorphometry, but also to give an overview of terms and fields of application, to quantify already achieved accuracies and used scales using different strategies, to evaluate possible stagnations of current developments and to identify key future challenges. It is our belief that the identification of common errors, “bad practices” and some other valuable information in already published articles, scientific reports and book chapters may help in guiding the future use of SfM photogrammetry in geosciences.},\n bibtype = {article},\n author = {Eltner, A and Kaiser, A and Castillo, C and Rock, G and Neugirg, F and Abellan, A},\n doi = {10.5194/esurfd-3-1445-2015},\n journal = {Earth Surface Dynamics Discussions}\n}\n\n Photogrammetry and geosciences are closely linked since the late 19th century. To- day, a wide range of commercial and open-source software enable non-experts users to obtain high-quality 3-D datasets of the environment, which was formerly reserved to remote sensing experts, geodesists or owners of cost-intensive metric airborne imag- ing systems. Complex tridimensional geomorphological features can be easily recon- structed from images captured with consumer grade cameras. Furthermore, rapid de- velopments in UAV technology allow for high quality aerial surveying and orthophotog- raphy generation at a relatively low-cost. The increasing computing capacities during the last decade, together with the development of high-performance digital sensors and the important software innovations developed by other fields of research (e.g. computer vision and visual perception) has extended the rigorous processing of stereoscopic image data to a 3-D point cloud generation from a series of non-calibrated images. Structure from motion methods offer algorithms, e.g. robust feature detectors like the scale-invariant feature transformfor 2-D imagery, which allowfor efficient and automatic orientation of large image sets without further data acquisition information. Neverthe- less, the importance of carrying out correct fieldwork strategies, using proper camera settings, ground control points and ground truth for understanding the different sources of errors still need to be adapted in the common scientific practice. This review manuscript intends not only to summarize the present state of published research on structure-from-motion photogrammetry applications in geomorphometry, but also to give an overview of terms and fields of application, to quantify already achieved accuracies and used scales using different strategies, to evaluate possible stagnations of current developments and to identify key future challenges. It is our belief that the identification of common errors, “bad practices” and some other valuable information in already published articles, scientific reports and book chapters may help in guiding the future use of SfM photogrammetry in geosciences.\n
\n\n\n\n \n\n \n \n \n \n \n \n Coastal and Environmental Remote Sensing from Unmanned Aerial Vehicles: An Overview.\n \n \n \n \n\n\n \n Klemas, V., V.\n\n\n \n\n\n\n Journal of Coastal Research, 315: 1260-1267. 2015.\n \n\n\n\n
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\n\n\n@article{\n title = {Coastal and Environmental Remote Sensing from Unmanned Aerial Vehicles: An Overview},\n type = {article},\n year = {2015},\n pages = {1260-1267},\n volume = {315},\n websites = {http://www.bioone.org/doi/10.2112/JCOASTRES-D-15-00005.1},\n id = {fe98dee9-be27-3b2d-969e-92dc750a6ecf},\n created = {2018-07-23T13:44:53.358Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.501Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Klemas2015},\n private_publication = {false},\n abstract = {ABSTRACT Klemas, V.V., 2015. Coastal and environmental remote sensing from unmanned aerial vehicles: An overview. Unmanned aerial vehicles (UAVs) offer a viable alternative to conventional platforms for acquiring high-resolution remote-sensing data at lower cost and increased operational flexibility. UAVs include various configurations of unmanned aircraft, multirotor helicopters (e.g., quadcopters), and balloons/blimps of different sizes and shapes. Quadcopters and balloons fill a gap between satellites and aircraft when a stationary monitoring platform is needed for relatively long-term observation of an area. UAVs have advanced designs to carry small payloads and integrated flight control systems, giving them semiautonomous or fully autonomous flight capabilities. Miniaturized sensors are being developed/adapted for UAV payloads, including hyperspectral imagers, LIDAR, synthetic aperture radar, and thermal infrared sensors. UAVs are now used for a wide range of environmental applications, such as coast...},\n bibtype = {article},\n author = {Klemas, Victor V.},\n doi = {10.2112/JCOASTRES-D-15-00005.1},\n journal = {Journal of Coastal Research}\n}\n\n ABSTRACT Klemas, V.V., 2015. Coastal and environmental remote sensing from unmanned aerial vehicles: An overview. Unmanned aerial vehicles (UAVs) offer a viable alternative to conventional platforms for acquiring high-resolution remote-sensing data at lower cost and increased operational flexibility. UAVs include various configurations of unmanned aircraft, multirotor helicopters (e.g., quadcopters), and balloons/blimps of different sizes and shapes. Quadcopters and balloons fill a gap between satellites and aircraft when a stationary monitoring platform is needed for relatively long-term observation of an area. UAVs have advanced designs to carry small payloads and integrated flight control systems, giving them semiautonomous or fully autonomous flight capabilities. Miniaturized sensors are being developed/adapted for UAV payloads, including hyperspectral imagers, LIDAR, synthetic aperture radar, and thermal infrared sensors. UAVs are now used for a wide range of environmental applications, such as coast...\n
\n\n\n\n \n\n \n \n \n \n \n \n Ground control point requirements for structure-from-motion derived topography in low-slope coastal environments.\n \n \n \n \n\n\n \n Goldstein, E., B.; Oliver, A., R.; DeVries, E.; Moore, L., J.; and Jass, T.\n\n\n \n\n\n\n PeerJ, (2012). 2015.\n \n\n\n\n
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\n\n\n@article{\n title = {Ground control point requirements for structure-from-motion derived topography in low-slope coastal environments},\n type = {article},\n year = {2015},\n keywords = {Coastal Dunes,Kite Photography,Structure from Motion},\n websites = {https://peerj.com/preprints/1444},\n id = {239a5806-4007-373a-b435-4aaa32d15bc8},\n created = {2018-07-23T13:44:53.460Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.411Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Goldstein2015},\n private_publication = {false},\n abstract = {Vegetated coastal dunes grow as a result of feedbacks between vegetation and sand transport. Observing the coevolution of vegetation and the sand surface is therefore critical for unraveling the dynamics of coastal dune growth. Capturing synchronous topography and photography at high spatial resolution and high temporal frequency using traditional techniques (airplane-based aerial photography, LiDAR) is expensive and time- consuming. Structure-from-Motion combined with Multiview-Stereo, a photogrammetry workflow that uses low-cost, consumer-grade equipment, is an economical alternative to traditional collection methods. This workflow still requires the definition of ground control points (GCPs) — locations with known coordinates — to develop accurate digital surface models. In this contribution we address how the number of GCPs used impacts the accuracy of digital surface models. We flew a 9-foot single-line delta kite attached to a consumer-grade camera to photograph the beach and dune of Hog Island, VA, a site that contains 178 high precision GCPs over an area of ~0.025 km2 (as part of an ongoing field experiment). We then processed the 318 photographs using Agisoft Photoscan and compared the elevation accuracy of digital surface models rendered using SfM, with varying GCPs, to points surveyed by a total station. Our results suggest that there is ‘diminishing returns’ when greater than 10 GCPs are used. Results from this study can be used to inform future Structure-from-Motion studies using UAVs or kites in flat, low- sloping coastal environments.},\n bibtype = {article},\n author = {Goldstein, Evan B and Oliver, Amber R and DeVries, Elsemarie and Moore, Laura J and Jass, Theo},\n doi = {10.7287/peerj.preprints.1444v1},\n journal = {PeerJ},\n number = {2012}\n}\n\n Vegetated coastal dunes grow as a result of feedbacks between vegetation and sand transport. Observing the coevolution of vegetation and the sand surface is therefore critical for unraveling the dynamics of coastal dune growth. Capturing synchronous topography and photography at high spatial resolution and high temporal frequency using traditional techniques (airplane-based aerial photography, LiDAR) is expensive and time- consuming. Structure-from-Motion combined with Multiview-Stereo, a photogrammetry workflow that uses low-cost, consumer-grade equipment, is an economical alternative to traditional collection methods. This workflow still requires the definition of ground control points (GCPs) — locations with known coordinates — to develop accurate digital surface models. In this contribution we address how the number of GCPs used impacts the accuracy of digital surface models. We flew a 9-foot single-line delta kite attached to a consumer-grade camera to photograph the beach and dune of Hog Island, VA, a site that contains 178 high precision GCPs over an area of ~0.025 km2 (as part of an ongoing field experiment). We then processed the 318 photographs using Agisoft Photoscan and compared the elevation accuracy of digital surface models rendered using SfM, with varying GCPs, to points surveyed by a total station. Our results suggest that there is ‘diminishing returns’ when greater than 10 GCPs are used. Results from this study can be used to inform future Structure-from-Motion studies using UAVs or kites in flat, low- sloping coastal environments.\n
\n\n\n\n \n\n \n \n \n \n \n The impact of the calibration method on the accuracy of point clouds derived using unmanned aerial vehicle multi-view stereopsis.\n \n \n \n\n\n \n Harwin, S.; Lucieer, A.; and Osborn, J.\n\n\n \n\n\n\n Remote Sensing, 7(9): 11933-11953. 2015.\n \n\n\n\n
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\n\n\n@article{\n title = {The impact of the calibration method on the accuracy of point clouds derived using unmanned aerial vehicle multi-view stereopsis},\n type = {article},\n year = {2015},\n keywords = {Calibration,Ground control accuracy,Oblique imagery,Structure-from-motion; multi-view stereopsis,UAV},\n pages = {11933-11953},\n volume = {7},\n id = {9cf5b5fe-acbb-375e-a2b0-2352f01ce958},\n created = {2019-07-01T14:27:57.796Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T15:34:35.149Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Harwin2015},\n private_publication = {false},\n abstract = {In unmanned aerial vehicle (UAV) photogrammetric surveys, the cameracan be pre-calibrated or can be calibrated "on-the-job" using structure-from-motion anda self-calibrating bundle adjustment. This study investigates the impact on mapping accuracyof UAV photogrammetric survey blocks, the bundle adjustment and the 3D reconstructionprocess under a range of typical operating scenarios for centimetre-scale natural landformmapping (in this case, a coastal cliff). We demonstrate the sensitivity of the process tocalibration procedures and the need for careful accuracy assessment. For this investigation, vertical (nadir or near-nadir) and oblique photography were collected with 80%–90%overlap and with accurately-surveyed (σ ≤ 2 mm) and densely-distributed ground control.This allowed various scenarios to be tested and the impact on mapping accuracy to beassessed. This paper presents the results of that investigation and provides guidelines thatwill assist with operational decisions regarding camera calibration and ground control forUAV photogrammetry. The results indicate that the use of either a robust pre-calibration ora robust self-calibration results in accurate model creation from vertical-only photography,and additional oblique photography may improve the results. The results indicate thatif a dense array of high accuracy ground control points are deployed and the UAVphotography includes both vertical and oblique images, then either a pre-calibration or anon-the-job self-calibration will yield reliable models (pre-calibration RMSEXY = 7.1 mmand on-the-job self-calibration RMSEXY = 3.2 mm). When oblique photography was Remote Sens. 2015, 7 11934 excluded from the on-the-job self-calibration solution, the accuracy of the model deteriorated(by 3.3 mm horizontally and 4.7 mm vertically). When the accuracy of the ground controlwas then degraded to replicate typical operational practice (σ = 22 mm), the accuracyof the model further deteriorated (e.g., on-the-job self-calibration RMSEXY went from3.2–7.0 mm). Additionally, when the density of the ground control was reduced, the modelaccuracy also further deteriorated (e.g., on-the-job self-calibration RMSEXY went from7.0–7.3 mm). However, our results do indicate that loss of accuracy due to sparse groundcontrol can be mitigated by including oblique imagery.},\n bibtype = {article},\n author = {Harwin, Steve and Lucieer, Arko and Osborn, Jon},\n doi = {10.3390/rs70911933},\n journal = {Remote Sensing},\n number = {9}\n}\n\n In unmanned aerial vehicle (UAV) photogrammetric surveys, the cameracan be pre-calibrated or can be calibrated \"on-the-job\" using structure-from-motion anda self-calibrating bundle adjustment. This study investigates the impact on mapping accuracyof UAV photogrammetric survey blocks, the bundle adjustment and the 3D reconstructionprocess under a range of typical operating scenarios for centimetre-scale natural landformmapping (in this case, a coastal cliff). We demonstrate the sensitivity of the process tocalibration procedures and the need for careful accuracy assessment. For this investigation, vertical (nadir or near-nadir) and oblique photography were collected with 80%–90%overlap and with accurately-surveyed (σ ≤ 2 mm) and densely-distributed ground control.This allowed various scenarios to be tested and the impact on mapping accuracy to beassessed. This paper presents the results of that investigation and provides guidelines thatwill assist with operational decisions regarding camera calibration and ground control forUAV photogrammetry. The results indicate that the use of either a robust pre-calibration ora robust self-calibration results in accurate model creation from vertical-only photography,and additional oblique photography may improve the results. The results indicate thatif a dense array of high accuracy ground control points are deployed and the UAVphotography includes both vertical and oblique images, then either a pre-calibration or anon-the-job self-calibration will yield reliable models (pre-calibration RMSEXY = 7.1 mmand on-the-job self-calibration RMSEXY = 3.2 mm). When oblique photography was Remote Sens. 2015, 7 11934 excluded from the on-the-job self-calibration solution, the accuracy of the model deteriorated(by 3.3 mm horizontally and 4.7 mm vertically). When the accuracy of the ground controlwas then degraded to replicate typical operational practice (σ = 22 mm), the accuracyof the model further deteriorated (e.g., on-the-job self-calibration RMSEXY went from3.2–7.0 mm). Additionally, when the density of the ground control was reduced, the modelaccuracy also further deteriorated (e.g., on-the-job self-calibration RMSEXY went from7.0–7.3 mm). However, our results do indicate that loss of accuracy due to sparse groundcontrol can be mitigated by including oblique imagery.\n
\n\n\n\n \n\n \n \n \n \n \n UAV application in coastal environment, example of the oleron island for dunes and dikes survey.\n \n \n \n\n\n \n Guillot, B.; and Pouget, F.\n\n\n \n\n\n\n International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 40(3W3): 321-326. 2015.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {UAV application in coastal environment, example of the oleron island for dunes and dikes survey},\n type = {article},\n year = {2015},\n keywords = {Coastal sand dune,DDSM,DSM,DVM,Dike,Olé;ron island,Ortho-imagery,UAV},\n pages = {321-326},\n volume = {40},\n id = {b83a6cdd-8d24-36f3-971d-bc3b61e11604},\n created = {2019-07-01T16:02:34.421Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.421Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Guillot2015},\n private_publication = {false},\n abstract = {The recent evolutions in civil UAV ease of use led the University of La Rochelle to conduct an UAV program around its own potential costal application. An application program involving La Rochelle University and the District of Oleron Island began in January 2015 and lasted through July of 2015. The aims were to choose 9 study areas and survey them during the winter season. The studies concerned surveying the dikes and coastal sand dunes of Oleron Island. During each flight, an action sport camera fixed on the UAV’s brushless gimbal took a series of 150 pictures. After processing the photographs and using a 3D reconstruction plugin via Photoscan, we were able to export high-resolution ortho-imagery, DSM and 3D models. After applying GIS treatment to these images, volumetric evolutions between flights were revealed through a DDVM (Difference of Digital volumetric Model), in order to study sand movements on coastal sand dunes.},\n bibtype = {article},\n author = {Guillot, B. and Pouget, F.},\n doi = {10.5194/isprsarchives-XL-3-W3-321-2015},\n journal = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives},\n number = {3W3}\n}\n\n The recent evolutions in civil UAV ease of use led the University of La Rochelle to conduct an UAV program around its own potential costal application. An application program involving La Rochelle University and the District of Oleron Island began in January 2015 and lasted through July of 2015. The aims were to choose 9 study areas and survey them during the winter season. The studies concerned surveying the dikes and coastal sand dunes of Oleron Island. During each flight, an action sport camera fixed on the UAV’s brushless gimbal took a series of 150 pictures. After processing the photographs and using a 3D reconstruction plugin via Photoscan, we were able to export high-resolution ortho-imagery, DSM and 3D models. After applying GIS treatment to these images, volumetric evolutions between flights were revealed through a DDVM (Difference of Digital volumetric Model), in order to study sand movements on coastal sand dunes.\n
\n\n\n\n \n\n \n \n \n \n \n Factors and p rs and processes in desses in deter riioration o a sandst ne r ck f rm n of a sandstone rock form (Pravčická brána A ch, B hemian S (P vči ána Arch, Bohemian Swiitz rland NP Cz ch R tzerland NP,, Czech Repub iblil c).\n \n \n \n\n\n \n Zuzana Vařilová, R., P., a., J., Z.; and Zvelebil, J.\n\n\n \n\n\n\n Zeitschrift für Geomorphologie, 59(Suppl. 1): 227-245. 2015.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Factors and p rs and processes in desses in deter riioration o a sandst ne r ck f rm n of a sandstone rock form (Pravčická brána A ch, B hemian S (P vči ána Arch, Bohemian Swiitz rland NP Cz ch R tzerland NP,, Czech Repub iblil c)},\n type = {article},\n year = {2015},\n keywords = {cover beds,flysch,lithologic discontinuities,mineral composition,soil formation},\n pages = {227-245},\n volume = {59},\n id = {f629f216-7de6-3f1e-8d45-516bc2f68a30},\n created = {2019-07-01T16:02:34.470Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.470Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {ZuzanaVarilova2015},\n private_publication = {false},\n abstract = {The role of lithologic discontinuities in forming soil properties is getting increasing recognition, following the allochthonistic approach to soil formation. This approach may be particularly useful in the mountainous areas of Central Europe, where slopes are mantled by layers of cover materials of complex gen- esis and predominantly Pleistocene age (cover beds). This study uses results obtained in two areas typified by the middle mountains landscape type, located in different parts of the Carpathians but sharing a similar pattern of slope geology, with sandstones dominating the upper slope sections and shales underlying the lower parts. The differences in soil morphology as well as physical and chemical properties allow two main layers within the soil material to be distinguished – the upper layer and lower (basal) layer, separated by a lithologic discontiuity. This is confirmed by the analysis of the mineral composition of the upper layer of soil material, which shows significant uniformity along the slope despite the large variety in types of flysch bedrock. The data indicate that cover deposits (cover beds) – transported and transformed by geomorphic processes, with apparent aeolian admixture – constitute the solum parent material of soils occupying most of the investigated slopes. The properties of these deposits, particularly texture and mineral composition, are to a large extent controlled by the properties of sandstones even though they only found in the upper- most parts of the investigated slopes.},\n bibtype = {article},\n author = {Zuzana Vařilová, Richard Přikryl and Jiří Zvelebil and Zvelebil, Jiří},\n doi = {10.1127/zfg},\n journal = {Zeitschrift für Geomorphologie},\n number = {Suppl. 1}\n}\n\n The role of lithologic discontinuities in forming soil properties is getting increasing recognition, following the allochthonistic approach to soil formation. This approach may be particularly useful in the mountainous areas of Central Europe, where slopes are mantled by layers of cover materials of complex gen- esis and predominantly Pleistocene age (cover beds). This study uses results obtained in two areas typified by the middle mountains landscape type, located in different parts of the Carpathians but sharing a similar pattern of slope geology, with sandstones dominating the upper slope sections and shales underlying the lower parts. The differences in soil morphology as well as physical and chemical properties allow two main layers within the soil material to be distinguished – the upper layer and lower (basal) layer, separated by a lithologic discontiuity. This is confirmed by the analysis of the mineral composition of the upper layer of soil material, which shows significant uniformity along the slope despite the large variety in types of flysch bedrock. The data indicate that cover deposits (cover beds) – transported and transformed by geomorphic processes, with apparent aeolian admixture – constitute the solum parent material of soils occupying most of the investigated slopes. The properties of these deposits, particularly texture and mineral composition, are to a large extent controlled by the properties of sandstones even though they only found in the upper- most parts of the investigated slopes.\n
\n\n\n\n \n\n \n \n \n \n \n \n Close Range Photogrammetry in the Survey of the Coastal Area Geoecological Conditions (on the Example of Portugal).\n \n \n \n \n\n\n \n Chikhradze, N.\n\n\n \n\n\n\n Earth Sciences, 4(5): 35. 2015.\n \n\n\n\n
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\n\n\n@article{\n title = {Close Range Photogrammetry in the Survey of the Coastal Area Geoecological Conditions (on the Example of Portugal)},\n type = {article},\n year = {2015},\n keywords = {accuracy,beach,digital elevation model,orthophoto,unmanned aerial vehicle},\n pages = {35},\n volume = {4},\n websites = {http://www.sciencepublishinggroup.com/journal/paperinfo?journalid=161&doi=10.11648/j.earth.s.2015040501.17},\n id = {6ed4e2a9-b2f5-3c02-9255-13b7f5e85459},\n created = {2019-07-01T16:02:34.563Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.563Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Chikhradze2015},\n private_publication = {false},\n abstract = {Close range digital photogrammetry, which involves the application of unmanned aerial vehicle (UAV), has been used in a growing number of diverse applications across different scientific disciplines. Our objective was to use the mentioned method in the survey of the contemporary geoecological conditions of the coastal area on the example of Portuguese northwest coastal zone. The coastal zone can be subdivided into two geomorphological sectors: Sector 1, between the Minho River and the town of Espinho, where the coastal segments consist of estuaries, sandy and shingle beaches with rocky outcrops, and Holocene dune systems. The estuaries and the foredunes in particular are very degraded by human activities; and Sector 2, between Espinho and the Mondego Cape, where coastal lagoons and Holocene dune systems occur. We chose two beaches for surveying – Aguçadoura and Ramalha to which the drone swinglet CAM took the photos. We used the ground control software eMotion 2 to plan the flights over the study area and controlled the drone’s trajectory during flight. After processing the obtained images in the program of AgisoftPhotoscanPro, we generated the 2D orthophotos and 3D digital elevation models (DEM) of the research sections. At this stage of study we derived the above product without using the ground control points, or we used only the camera GPS data. Based on these models the compilation of the large-scale maps of high resolution (1cm-5cm) will be possible in the GISs for monitoring and management of the geoecological state of the mentioned beaches in case to precise the x, y and z values of the models with the geodetic device of Differential GPSs in the selected ground control points (GCP).},\n bibtype = {article},\n author = {Chikhradze, Nino},\n doi = {10.11648/j.earth.s.2015040501.17},\n journal = {Earth Sciences},\n number = {5}\n}\n\n Close range digital photogrammetry, which involves the application of unmanned aerial vehicle (UAV), has been used in a growing number of diverse applications across different scientific disciplines. Our objective was to use the mentioned method in the survey of the contemporary geoecological conditions of the coastal area on the example of Portuguese northwest coastal zone. The coastal zone can be subdivided into two geomorphological sectors: Sector 1, between the Minho River and the town of Espinho, where the coastal segments consist of estuaries, sandy and shingle beaches with rocky outcrops, and Holocene dune systems. The estuaries and the foredunes in particular are very degraded by human activities; and Sector 2, between Espinho and the Mondego Cape, where coastal lagoons and Holocene dune systems occur. We chose two beaches for surveying – Aguçadoura and Ramalha to which the drone swinglet CAM took the photos. We used the ground control software eMotion 2 to plan the flights over the study area and controlled the drone’s trajectory during flight. After processing the obtained images in the program of AgisoftPhotoscanPro, we generated the 2D orthophotos and 3D digital elevation models (DEM) of the research sections. At this stage of study we derived the above product without using the ground control points, or we used only the camera GPS data. Based on these models the compilation of the large-scale maps of high resolution (1cm-5cm) will be possible in the GISs for monitoring and management of the geoecological state of the mentioned beaches in case to precise the x, y and z values of the models with the geodetic device of Differential GPSs in the selected ground control points (GCP).\n
\n\n\n\n \n\n \n \n \n \n \n UAV photogrammetry for topographic monitoring of coastal areas.\n \n \n \n\n\n \n Gonçalves, J., A.; and Henriques, R.\n\n\n \n\n\n\n ISPRS Journal of Photogrammetry and Remote Sensing, 104: 101-111. 2015.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {UAV photogrammetry for topographic monitoring of coastal areas},\n type = {article},\n year = {2015},\n keywords = {Accuracy,Automation,Coast,DEM/DTM,Matching,Monitoring,Photogrammetry},\n pages = {101-111},\n volume = {104},\n id = {dab1e2c8-1e02-3ac9-acf9-96f3bd3f4e8d},\n created = {2019-07-01T16:02:34.691Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-01T16:02:34.691Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Goncalves2015},\n private_publication = {false},\n abstract = {Coastal areas suffer degradation due to the action of the sea and other natural and human-induced causes. Topographical changes in beaches and sand dunes need to be assessed, both after severe events and on a regular basis, to build models that can predict the evolution of these natural environments. This is an important application for airborne LIDAR, and conventional photogrammetry is also being used for regular monitoring programs of sensitive coastal areas. This paper analyses the use of unmanned aerial vehicles (UAV) to map and monitor sand dunes and beaches. A very light plane (SwingletCam) equipped with a very cheap, non-metric camera was used to acquire images with ground resolutions better than 5. cm. The Agisoft Photoscan software was used to orientate the images, extract point clouds, build a digital surface model and produce orthoimage mosaics. The processing, which includes automatic aerial triangulation with camera calibration and subsequent model generation, was mostly automated. To achieve the best positional accuracy for the whole process, signalised ground control points were surveyed with a differential GPS receiver. Two very sensitive test areas on the Portuguese northwest coast were analysed. Detailed DSMs were obtained with 10. cm grid spacing and vertical accuracy (RMS) ranging from 3.5 to 5.0. cm, which is very similar to the image ground resolution (3.2-4.5. cm). Where possible to assess, the planimetric accuracy of the orthoimage mosaics was found to be subpixel. Within the regular coastal monitoring programme being carried out in the region, UAVs can replace many of the conventional flights, with considerable gains in the cost of the data acquisition and without any loss in the quality of topographic and aerial imagery data.},\n bibtype = {article},\n author = {Gonçalves, J. A. and Henriques, R.},\n doi = {10.1016/j.isprsjprs.2015.02.009},\n journal = {ISPRS Journal of Photogrammetry and Remote Sensing}\n}\n\n Coastal areas suffer degradation due to the action of the sea and other natural and human-induced causes. Topographical changes in beaches and sand dunes need to be assessed, both after severe events and on a regular basis, to build models that can predict the evolution of these natural environments. This is an important application for airborne LIDAR, and conventional photogrammetry is also being used for regular monitoring programs of sensitive coastal areas. This paper analyses the use of unmanned aerial vehicles (UAV) to map and monitor sand dunes and beaches. A very light plane (SwingletCam) equipped with a very cheap, non-metric camera was used to acquire images with ground resolutions better than 5. cm. The Agisoft Photoscan software was used to orientate the images, extract point clouds, build a digital surface model and produce orthoimage mosaics. The processing, which includes automatic aerial triangulation with camera calibration and subsequent model generation, was mostly automated. To achieve the best positional accuracy for the whole process, signalised ground control points were surveyed with a differential GPS receiver. Two very sensitive test areas on the Portuguese northwest coast were analysed. Detailed DSMs were obtained with 10. cm grid spacing and vertical accuracy (RMS) ranging from 3.5 to 5.0. cm, which is very similar to the image ground resolution (3.2-4.5. cm). Where possible to assess, the planimetric accuracy of the orthoimage mosaics was found to be subpixel. Within the regular coastal monitoring programme being carried out in the region, UAVs can replace many of the conventional flights, with considerable gains in the cost of the data acquisition and without any loss in the quality of topographic and aerial imagery data.\n
\n\n\n\n \n\n \n \n \n \n \n Four decades of coastal monitoring at Narrabeen-Collaroy Beach: the past, present and future of this unique dataset.\n \n \n \n\n\n \n Harley, M., D.; Turner, I., L.; Short, A., D.; Bracs, M., a.; Phillips, M., S.; Simmons, J., a.; and Splinter, K., D.\n\n\n \n\n\n\n Coast and Ports 2015, (September): 1-6. 2015.\n \n\n\n\n
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\n\n\n@article{\n title = {Four decades of coastal monitoring at Narrabeen-Collaroy Beach: the past, present and future of this unique dataset},\n type = {article},\n year = {2015},\n keywords = {beach rotation,coastal monitoring,embayed beaches,se australia,subaerial sand volume},\n pages = {1-6},\n id = {f68fcbcb-becf-392f-9c81-047cc0321902},\n created = {2019-07-05T13:44:33.001Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:33.001Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Harley2015},\n private_publication = {false},\n abstract = {Long-term high-resolution measurements of coastal variability are extremely rare and provide unique insight to beach fluctuations and change at a variety of different scales. Crucially, they also provide an invaluable dataset that researchers can use to test and develop new coastal modelling tools and statistical techniques. This paper describes one such coastal monitoring program that has been continuously underway at Narrabeen-Collaroy Beach in SE Australia at monthly or greater survey frequencies for the past 39 years. The history of this unique program can be divided into two periods: (1) the initial three decades (1976-2006) characterised by the use of traditional survey methods; and (2) the past decade during which the monitoring program has been expanded and modernised using new survey technologies such as RTK-GPS, coastal imaging, LiDAR and UAV technology. A summary and timeline as to the introduction of the various technologies is presented, followed by some standard data products (e.g. the Subaerial Volume and Beach Orientation Indices) produced from the raw historical data to facilitate easy data interpretation. With the fortyyear anniversary of this dataset approaching in April 2016, efforts are being made to make this dataset openly accessible for download via a public web interface, thereby extending the reach of this valuable dataset to coastal researchers and practitioners worldwide.},\n bibtype = {article},\n author = {Harley, Mitchell D and Turner, Ian L and Short, Andrew D and Bracs, Melissa a and Phillips, Matthew S and Simmons, Joshua a and Splinter, Kristen D},\n journal = {Coast and Ports 2015},\n number = {September}\n}\n\n Long-term high-resolution measurements of coastal variability are extremely rare and provide unique insight to beach fluctuations and change at a variety of different scales. Crucially, they also provide an invaluable dataset that researchers can use to test and develop new coastal modelling tools and statistical techniques. This paper describes one such coastal monitoring program that has been continuously underway at Narrabeen-Collaroy Beach in SE Australia at monthly or greater survey frequencies for the past 39 years. The history of this unique program can be divided into two periods: (1) the initial three decades (1976-2006) characterised by the use of traditional survey methods; and (2) the past decade during which the monitoring program has been expanded and modernised using new survey technologies such as RTK-GPS, coastal imaging, LiDAR and UAV technology. A summary and timeline as to the introduction of the various technologies is presented, followed by some standard data products (e.g. the Subaerial Volume and Beach Orientation Indices) produced from the raw historical data to facilitate easy data interpretation. With the fortyyear anniversary of this dataset approaching in April 2016, efforts are being made to make this dataset openly accessible for download via a public web interface, thereby extending the reach of this valuable dataset to coastal researchers and practitioners worldwide.\n
\n\n\n\n \n\n \n \n \n \n \n The impact of the calibration method on the accuracy of point clouds derived using unmanned aerial vehicle multi-view stereopsis.\n \n \n \n\n\n \n Harwin, S.; Lucieer, A.; and Osborn, J.\n\n\n \n\n\n\n Remote Sensing, 7(9): 11933-11953. 2015.\n \n\n\n\n
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\n\n\n@article{\n title = {The impact of the calibration method on the accuracy of point clouds derived using unmanned aerial vehicle multi-view stereopsis},\n type = {article},\n year = {2015},\n keywords = {Calibration,Ground control accuracy,Oblique imagery,Structure-from-motion; multi-view stereopsis,UAV},\n pages = {11933-11953},\n volume = {7},\n id = {0e92d880-b4b1-3a11-a538-63c439b77659},\n created = {2019-07-05T13:44:33.065Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:33.065Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Harwin2015a},\n private_publication = {false},\n abstract = {In unmanned aerial vehicle (UAV) photogrammetric surveys, the cameracan be pre-calibrated or can be calibrated "on-the-job" using structure-from-motion anda self-calibrating bundle adjustment. This study investigates the impact on mapping accuracyof UAV photogrammetric survey blocks, the bundle adjustment and the 3D reconstructionprocess under a range of typical operating scenarios for centimetre-scale natural landformmapping (in this case, a coastal cliff). We demonstrate the sensitivity of the process tocalibration procedures and the need for careful accuracy assessment. For this investigation, vertical (nadir or near-nadir) and oblique photography were collected with 80%–90%overlap and with accurately-surveyed (σ ≤ 2 mm) and densely-distributed ground control.This allowed various scenarios to be tested and the impact on mapping accuracy to beassessed. This paper presents the results of that investigation and provides guidelines thatwill assist with operational decisions regarding camera calibration and ground control forUAV photogrammetry. The results indicate that the use of either a robust pre-calibration ora robust self-calibration results in accurate model creation from vertical-only photography,and additional oblique photography may improve the results. The results indicate thatif a dense array of high accuracy ground control points are deployed and the UAVphotography includes both vertical and oblique images, then either a pre-calibration or anon-the-job self-calibration will yield reliable models (pre-calibration RMSEXY = 7.1 mmand on-the-job self-calibration RMSEXY = 3.2 mm). When oblique photography was Remote Sens. 2015, 7 11934 excluded from the on-the-job self-calibration solution, the accuracy of the model deteriorated(by 3.3 mm horizontally and 4.7 mm vertically). When the accuracy of the ground controlwas then degraded to replicate typical operational practice (σ = 22 mm), the accuracyof the model further deteriorated (e.g., on-the-job self-calibration RMSEXY went from3.2–7.0 mm). Additionally, when the density of the ground control was reduced, the modelaccuracy also further deteriorated (e.g., on-the-job self-calibration RMSEXY went from7.0–7.3 mm). However, our results do indicate that loss of accuracy due to sparse groundcontrol can be mitigated by including oblique imagery.},\n bibtype = {article},\n author = {Harwin, Steve and Lucieer, Arko and Osborn, Jon},\n doi = {10.3390/rs70911933},\n journal = {Remote Sensing},\n number = {9}\n}\n\n In unmanned aerial vehicle (UAV) photogrammetric surveys, the cameracan be pre-calibrated or can be calibrated \"on-the-job\" using structure-from-motion anda self-calibrating bundle adjustment. This study investigates the impact on mapping accuracyof UAV photogrammetric survey blocks, the bundle adjustment and the 3D reconstructionprocess under a range of typical operating scenarios for centimetre-scale natural landformmapping (in this case, a coastal cliff). We demonstrate the sensitivity of the process tocalibration procedures and the need for careful accuracy assessment. For this investigation, vertical (nadir or near-nadir) and oblique photography were collected with 80%–90%overlap and with accurately-surveyed (σ ≤ 2 mm) and densely-distributed ground control.This allowed various scenarios to be tested and the impact on mapping accuracy to beassessed. This paper presents the results of that investigation and provides guidelines thatwill assist with operational decisions regarding camera calibration and ground control forUAV photogrammetry. The results indicate that the use of either a robust pre-calibration ora robust self-calibration results in accurate model creation from vertical-only photography,and additional oblique photography may improve the results. The results indicate thatif a dense array of high accuracy ground control points are deployed and the UAVphotography includes both vertical and oblique images, then either a pre-calibration or anon-the-job self-calibration will yield reliable models (pre-calibration RMSEXY = 7.1 mmand on-the-job self-calibration RMSEXY = 3.2 mm). When oblique photography was Remote Sens. 2015, 7 11934 excluded from the on-the-job self-calibration solution, the accuracy of the model deteriorated(by 3.3 mm horizontally and 4.7 mm vertically). When the accuracy of the ground controlwas then degraded to replicate typical operational practice (σ = 22 mm), the accuracyof the model further deteriorated (e.g., on-the-job self-calibration RMSEXY went from3.2–7.0 mm). Additionally, when the density of the ground control was reduced, the modelaccuracy also further deteriorated (e.g., on-the-job self-calibration RMSEXY went from7.0–7.3 mm). However, our results do indicate that loss of accuracy due to sparse groundcontrol can be mitigated by including oblique imagery.\n
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\n \n \n\n \n \n \n \n \n \n Unmanned aerial systems for photogrammetry and remote sensing: A review.\n \n \n \n \n\n\n \n Colomina, I.; and Molina, P.\n\n\n \n\n\n\n ISPRS Journal of Photogrammetry and Remote Sensing, 92: 79-97. 6 2014.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Unmanned aerial systems for photogrammetry and remote sensing: A review},\n type = {article},\n year = {2014},\n keywords = {Photogrammetry,Remote sensing,Review,UAV},\n pages = {79-97},\n volume = {92},\n websites = {http://dx.doi.org/10.1016/j.isprsjprs.2014.02.013,http://linkinghub.elsevier.com/retrieve/pii/S0924271614000501,papers2://publication/doi/10.1016/j.isprsjprs.2014.02.013},\n month = {6},\n publisher = {Elsevier B.V.},\n day = {1},\n id = {0d95a943-0058-3b23-a560-f3c048ddb0e4},\n created = {2018-07-21T13:04:00.634Z},\n accessed = {2014-07-11},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.796Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Colomina2014},\n source_type = {JOUR},\n private_publication = {false},\n abstract = {We discuss the evolution and state-of-the-art of the use of Unmanned Aerial Systems (UAS) in the field of Photogrammetry and Remote Sensing (PaRS). UAS, Remotely-Piloted Aerial Systems, Unmanned Aerial Vehicles or simply, drones are a hot topic comprising a diverse array of aspects including technology, privacy rights, safety and regulations, and even war and peace. Modern photogrammetry and remote sensing identified the potential of UAS-sourced imagery more than thirty years ago. In the last five years, these two sister disciplines have developed technology and methods that challenge the current aeronautical regulatory framework and their own traditional acquisition and processing methods. Navety and ingenuity have combined off-the-shelf, low-cost equipment with sophisticated computer vision, robotics and geomatic engineering. The results are cm-level resolution and accuracy products that can be generated even with cameras costing a few-hundred euros. In this review article, following a brief historic background and regulatory status analysis, we review the recent unmanned aircraft, sensing, navigation, orientation and general data processing developments for UAS photogrammetry and remote sensing with emphasis on the nano-micro-mini UAS segment. ?? 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).},\n bibtype = {article},\n author = {Colomina, I. and Molina, P.},\n doi = {10.1016/j.isprsjprs.2014.02.013},\n journal = {ISPRS Journal of Photogrammetry and Remote Sensing}\n}\n\n We discuss the evolution and state-of-the-art of the use of Unmanned Aerial Systems (UAS) in the field of Photogrammetry and Remote Sensing (PaRS). UAS, Remotely-Piloted Aerial Systems, Unmanned Aerial Vehicles or simply, drones are a hot topic comprising a diverse array of aspects including technology, privacy rights, safety and regulations, and even war and peace. Modern photogrammetry and remote sensing identified the potential of UAS-sourced imagery more than thirty years ago. In the last five years, these two sister disciplines have developed technology and methods that challenge the current aeronautical regulatory framework and their own traditional acquisition and processing methods. Navety and ingenuity have combined off-the-shelf, low-cost equipment with sophisticated computer vision, robotics and geomatic engineering. The results are cm-level resolution and accuracy products that can be generated even with cameras costing a few-hundred euros. In this review article, following a brief historic background and regulatory status analysis, we review the recent unmanned aircraft, sensing, navigation, orientation and general data processing developments for UAS photogrammetry and remote sensing with emphasis on the nano-micro-mini UAS segment. ?? 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).\n
\n\n\n\n \n\n \n \n \n \n \n \n Mitigating systematic error in topographic models derived from UAV and ground-based image networks.\n \n \n \n \n\n\n \n James, M., R.; and Robson, S.\n\n\n \n\n\n\n Earth Surface Processes and Landforms, 39(10): 1413-1420. 8 2014.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Mitigating systematic error in topographic models derived from UAV and ground-based image networks},\n type = {article},\n year = {2014},\n keywords = {Bundle adjustment,DEM,Radial lens distortion,Structure-from-motion,UAV,bundle adjustment,dem,radial lens distortion,structure-from-motion,uav},\n pages = {1413-1420},\n volume = {39},\n websites = {http://doi.wiley.com/10.1002/esp.3609},\n month = {8},\n day = {19},\n id = {011e3f6b-95e9-3eb5-ab13-f135c0e20e31},\n created = {2018-07-21T13:04:01.997Z},\n accessed = {2014-07-14},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.713Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {James2014},\n private_publication = {false},\n abstract = {High resolution digital elevation models (DEMs) are increasingly produced from photographs acquired with consumer cameras, both from the ground and from unmanned aerial vehicles (UAVs). However, although such DEMs may achieve centimetric detail, they can also display systematic broad-scale error that restricts their wider use. Such errors which, in typical UAV data are expressed as a vertical ‘doming’ of the surface, result from a combination of near-parallel imaging directions and inaccurate correction of radial lens distortion. Using simulations of multi-image networks with near-parallel viewing directions, we show that enabling camera self-calibration as part of the bundle adjustment process inherently leads to erroneous radial distortion estimates and associated DEM error. This effect is relevant whether a traditional photogrammetric or newer structure-from-motion (SfM) approach is used, but errors are expected to be more pronounced in SfM-based DEMs, for which use of control and check point measurements are typically more limited. Systematic DEM error can be significantly reduced by the additional capture and inclusion of oblique images in the image network; we provide practical flight plan solutions for fixed wing or rotor-based UAVs that, in the absence of control points, can reduce DEM error by up to two orders of magnitude. The magnitude of doming error shows a linear relationship with radial distortion and we show how characterization of this relationship allows an improved distortion estimate and, hence, existing datasets to be optimally reprocessed. Although focussed on UAV surveying, our results are also relevant to ground-based image capture. Copyright © 2014 John Wiley & Sons, Ltd.},\n bibtype = {article},\n author = {James, Mike R. and Robson, Stuart},\n doi = {10.1002/esp.3609},\n journal = {Earth Surface Processes and Landforms},\n number = {10}\n}\n\n High resolution digital elevation models (DEMs) are increasingly produced from photographs acquired with consumer cameras, both from the ground and from unmanned aerial vehicles (UAVs). However, although such DEMs may achieve centimetric detail, they can also display systematic broad-scale error that restricts their wider use. Such errors which, in typical UAV data are expressed as a vertical ‘doming’ of the surface, result from a combination of near-parallel imaging directions and inaccurate correction of radial lens distortion. Using simulations of multi-image networks with near-parallel viewing directions, we show that enabling camera self-calibration as part of the bundle adjustment process inherently leads to erroneous radial distortion estimates and associated DEM error. This effect is relevant whether a traditional photogrammetric or newer structure-from-motion (SfM) approach is used, but errors are expected to be more pronounced in SfM-based DEMs, for which use of control and check point measurements are typically more limited. Systematic DEM error can be significantly reduced by the additional capture and inclusion of oblique images in the image network; we provide practical flight plan solutions for fixed wing or rotor-based UAVs that, in the absence of control points, can reduce DEM error by up to two orders of magnitude. The magnitude of doming error shows a linear relationship with radial distortion and we show how characterization of this relationship allows an improved distortion estimate and, hence, existing datasets to be optimally reprocessed. Although focussed on UAV surveying, our results are also relevant to ground-based image capture. Copyright © 2014 John Wiley & Sons, Ltd.\n
\n\n\n\n \n\n \n \n \n \n \n Technical Note: An Unmanned Aerial Vehicle for Rangeland Photography.\n \n \n \n\n\n \n Hardin, P., J.; and Jackson, M., W.\n\n\n \n\n\n\n Rangeland ecology & management, 58(4): 439-442. 2014.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Technical Note: An Unmanned Aerial Vehicle for Rangeland Photography},\n type = {article},\n year = {2014},\n keywords = {1990s,1997,aerial photog- tography,aerial photography,again flourished briefly under,everitt et al,for many rangeland managers,in 2005,large-scale air photography for,rangeland management,small-format pho-,the high cost of,the marquee,this small-format},\n pages = {439-442},\n volume = {58},\n id = {c6dd585a-cfc3-3e3a-b07f-d69177f53ab5},\n created = {2018-07-21T13:59:03.861Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:57.007Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Hardin2014},\n private_publication = {false},\n bibtype = {article},\n author = {Hardin, Perry J and Jackson, Mark W},\n journal = {Rangeland ecology & management},\n number = {4}\n}\n\n \n\n \n \n \n \n \n Study of wave run-up on a beach using numerical models and low-altitude aerial photogrammetry from UAV drones.\n \n \n \n\n\n \n Mucerino, L.; Casella, E.; Rovere, A.; Vacchi, M.; Pedroncini, A.; Ferrari, M.; and Firpo, M.\n\n\n \n\n\n\n In 17th Joint Geomorphological Meeting, pages 21-22, 2014. \n \n\n\n\n
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\n\n\n\n@inproceedings{\n title = {Study of wave run-up on a beach using numerical models and low-altitude aerial photogrammetry from UAV drones},\n type = {inproceedings},\n year = {2014},\n pages = {21-22},\n issue = {December 2013},\n city = {Liege, BE},\n id = {d8ca449e-2819-3006-8a50-15c0291baec8},\n created = {2018-07-21T16:18:02.326Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.326Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mucerino2014},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Mucerino, Luigi and Casella, Elisa and Rovere, Alessio and Vacchi, Matteo and Pedroncini, Andrea and Ferrari, Marco and Firpo, Marco},\n booktitle = {17th Joint Geomorphological Meeting},\n keywords = {MIRAMAR,SEAMAP,SLCC}\n}\n\n \n\n \n \n \n \n \n \n Unmanned aerial systems for photogrammetry and remote sensing: A review.\n \n \n \n \n\n\n \n Colomina, I.; and Molina, P.\n\n\n \n\n\n\n ISPRS Journal of Photogrammetry and Remote Sensing, 92: 79-97. 6 2014.\n \n\n\n\n
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\n\n\n@article{\n title = {Unmanned aerial systems for photogrammetry and remote sensing: A review},\n type = {article},\n year = {2014},\n keywords = {Photogrammetry,Remote sensing,Review,UAV},\n pages = {79-97},\n volume = {92},\n websites = {http://dx.doi.org/10.1016/j.isprsjprs.2014.02.013,http://linkinghub.elsevier.com/retrieve/pii/S0924271614000501,papers2://publication/doi/10.1016/j.isprsjprs.2014.02.013},\n month = {6},\n publisher = {Elsevier B.V.},\n day = {1},\n id = {bf3010c1-92cb-3480-9af5-944d29fc0929},\n created = {2018-07-21T16:18:02.384Z},\n accessed = {2014-07-11},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.384Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Colomina2014},\n source_type = {JOUR},\n private_publication = {false},\n abstract = {We discuss the evolution and state-of-the-art of the use of Unmanned Aerial Systems (UAS) in the field of Photogrammetry and Remote Sensing (PaRS). UAS, Remotely-Piloted Aerial Systems, Unmanned Aerial Vehicles or simply, drones are a hot topic comprising a diverse array of aspects including technology, privacy rights, safety and regulations, and even war and peace. Modern photogrammetry and remote sensing identified the potential of UAS-sourced imagery more than thirty years ago. In the last five years, these two sister disciplines have developed technology and methods that challenge the current aeronautical regulatory framework and their own traditional acquisition and processing methods. Navety and ingenuity have combined off-the-shelf, low-cost equipment with sophisticated computer vision, robotics and geomatic engineering. The results are cm-level resolution and accuracy products that can be generated even with cameras costing a few-hundred euros. In this review article, following a brief historic background and regulatory status analysis, we review the recent unmanned aircraft, sensing, navigation, orientation and general data processing developments for UAS photogrammetry and remote sensing with emphasis on the nano-micro-mini UAS segment. ?? 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).},\n bibtype = {article},\n author = {Colomina, I. and Molina, P.},\n doi = {10.1016/j.isprsjprs.2014.02.013},\n journal = {ISPRS Journal of Photogrammetry and Remote Sensing}\n}\n\n We discuss the evolution and state-of-the-art of the use of Unmanned Aerial Systems (UAS) in the field of Photogrammetry and Remote Sensing (PaRS). UAS, Remotely-Piloted Aerial Systems, Unmanned Aerial Vehicles or simply, drones are a hot topic comprising a diverse array of aspects including technology, privacy rights, safety and regulations, and even war and peace. Modern photogrammetry and remote sensing identified the potential of UAS-sourced imagery more than thirty years ago. In the last five years, these two sister disciplines have developed technology and methods that challenge the current aeronautical regulatory framework and their own traditional acquisition and processing methods. Navety and ingenuity have combined off-the-shelf, low-cost equipment with sophisticated computer vision, robotics and geomatic engineering. The results are cm-level resolution and accuracy products that can be generated even with cameras costing a few-hundred euros. In this review article, following a brief historic background and regulatory status analysis, we review the recent unmanned aircraft, sensing, navigation, orientation and general data processing developments for UAS photogrammetry and remote sensing with emphasis on the nano-micro-mini UAS segment. ?? 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).\n
\n\n\n\n \n\n \n \n \n \n \n \n Study of wave runup using numerical models and low-altitude aerial photogrammetry: A tool for coastal management.\n \n \n \n \n\n\n \n Casella, E.; Rovere, A.; Pedroncini, A.; Mucerino, L.; Casella, M.; Cusati, L., A.; Vacchi, M.; Ferrari, M.; and Firpo, M.\n\n\n \n\n\n\n Estuarine, Coastal and Shelf Science, 149: 160-167. 8 2014.\n \n\n\n\n
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\n\n\n@article{\n title = {Study of wave runup using numerical models and low-altitude aerial photogrammetry: A tool for coastal management},\n type = {article},\n year = {2014},\n keywords = {MEDFLOOD,MIRAMAR,PLIOMAX,SEAMAP,SLCC},\n pages = {160-167},\n volume = {149},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0272771414002273,http://dx.doi.org/10.1016/j.ecss.2014.08.012},\n month = {8},\n publisher = {Elsevier Ltd},\n id = {625a9333-6b87-36b3-99cf-64a5092e5166},\n created = {2018-07-21T16:18:02.728Z},\n accessed = {2014-09-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.728Z},\n read = {true},\n starred = {true},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Casella2014},\n private_publication = {false},\n abstract = {Monitoring the impact of sea storms on coastal areas is fundamental to study beach evolution and the vulnerability of low-lying coasts to erosion and flooding. Modelling wave runup on a beach is possible, but it requires accurate topographic data and model tuning, that can be done comparing observed and modeled runup. In this study we collected aerial photos using an Unmanned Aerial Vehicle after two different swells on the same study area. We merged the point cloud obtained with photogrammetry with multibeam data, in order to obtain a complete beach topography. Then, on each set of rectified and georeferenced UAV orthophotos, we identified the maximum wave runup for both events recognizing the wet area left by the waves. We then used our topography and numerical models to simulate the wave runup and compare the model results to observed values during the two events. Our results highlight the potential of the methodology presented, which integrates UAV platforms, photogrammetry and Geographic Information Systems to provide faster and cheaper information on beach topography and geomorphology compared with traditional techniques without losing in accuracy. We use the results obtained from this technique as a topographic base for a model that calculates runup for the two swells. The observed and modeled runups are consistent, and open new directions for future research.},\n bibtype = {article},\n author = {Casella, Elisa and Rovere, Alessio and Pedroncini, Andrea and Mucerino, Luigi and Casella, Marco and Cusati, Luis Alberto and Vacchi, Matteo and Ferrari, Marco and Firpo, Marco},\n doi = {10.1016/j.ecss.2014.08.012},\n journal = {Estuarine, Coastal and Shelf Science}\n}\n\n Monitoring the impact of sea storms on coastal areas is fundamental to study beach evolution and the vulnerability of low-lying coasts to erosion and flooding. Modelling wave runup on a beach is possible, but it requires accurate topographic data and model tuning, that can be done comparing observed and modeled runup. In this study we collected aerial photos using an Unmanned Aerial Vehicle after two different swells on the same study area. We merged the point cloud obtained with photogrammetry with multibeam data, in order to obtain a complete beach topography. Then, on each set of rectified and georeferenced UAV orthophotos, we identified the maximum wave runup for both events recognizing the wet area left by the waves. We then used our topography and numerical models to simulate the wave runup and compare the model results to observed values during the two events. Our results highlight the potential of the methodology presented, which integrates UAV platforms, photogrammetry and Geographic Information Systems to provide faster and cheaper information on beach topography and geomorphology compared with traditional techniques without losing in accuracy. We use the results obtained from this technique as a topographic base for a model that calculates runup for the two swells. The observed and modeled runups are consistent, and open new directions for future research.\n
\n\n\n\n \n\n \n \n \n \n \n \n Assessment of Photogrammetric Mapping Accuracy Based on Variation Flying Altitude Using Unmanned Aerial Vehicle.\n \n \n \n \n\n\n \n Udin, W., S.; and Ahmad, a.\n\n\n \n\n\n\n IOP Conference Series: Earth and Environmental Science, 18: 012027. 2 2014.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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\n\n\n\n@article{\n title = {Assessment of Photogrammetric Mapping Accuracy Based on Variation Flying Altitude Using Unmanned Aerial Vehicle},\n type = {article},\n year = {2014},\n pages = {012027},\n volume = {18},\n websites = {http://stacks.iop.org/1755-1315/18/i=1/a=012027?key=crossref.82938e92b7ae227965dfe0c0b96ad68d},\n month = {2},\n day = {25},\n id = {336d5c29-6d8c-3172-89f5-1700354a8058},\n created = {2018-07-21T16:18:03.138Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:03.138Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Udin2014},\n private_publication = {false},\n bibtype = {article},\n author = {Udin, W S and Ahmad, a},\n doi = {10.1088/1755-1315/18/1/012027},\n journal = {IOP Conference Series: Earth and Environmental Science}\n}\n\n \n\n \n \n \n \n \n Innovative Methodologies for Coastal Environmental Monitoring and Analysis. MIRAMar project.\n \n \n \n\n\n \n Casella, E.; Rovere, A.; Vacchi, M.; Mucerino, L.; Pedroncini, A.; Ferrari, M.; and Firpo, M.\n\n\n \n\n\n\n In Quinto Simposio Internazionale: IL MONITORAGGIO COSTIERO MEDITERRANEO: PROBLEMATICHE E TECNICHE DI MISURA, 2014. \n \n\n\n\n
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\n\n\n\n@inproceedings{\n title = {Innovative Methodologies for Coastal Environmental Monitoring and Analysis. MIRAMar project.},\n type = {inproceedings},\n year = {2014},\n city = {Livorno, IT},\n id = {c8b7787a-547c-34f8-9f36-708cb5ded2eb},\n created = {2018-07-21T16:18:03.216Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:03.216Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Casella2014b},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Casella, Elisa and Rovere, Alessio and Vacchi, Matteo and Mucerino, Luigi and Pedroncini, Andrea and Ferrari, Marco and Firpo, Marco},\n booktitle = {Quinto Simposio Internazionale: IL MONITORAGGIO COSTIERO MEDITERRANEO: PROBLEMATICHE E TECNICHE DI MISURA},\n keywords = {MEDFLOOD,MIRAMAR,SEAMAP,SLCC}\n}\n\n \n\n \n \n \n \n \n Unmanned aerial vehicles that even geoscience departments can afford.\n \n \n \n\n\n \n Nyquist, J., E.\n\n\n \n\n\n\n Geotimes, 42(5): 20-23. 2014.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Unmanned aerial vehicles that even geoscience departments can afford},\n type = {article},\n year = {2014},\n pages = {20-23},\n volume = {42},\n publisher = {[Falls Church, Va., etc. American Geological Institute]},\n id = {0e9506e4-779e-326e-8a6e-400f186ccf8b},\n created = {2018-07-21T16:18:03.442Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T10:16:00.543Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {nyquist1997unmanned},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Nyquist, Jonathan E},\n journal = {Geotimes},\n number = {5}\n}\n\n \n\n \n \n \n \n \n \n Semi-automatic mapping of geological Structures using UAV-based photogrammetric data: An image analysis approach.\n \n \n \n \n\n\n \n Vasuki, Y.; Holden, E.; Kovesi, P.; and Micklethwaite, S.\n\n\n \n\n\n\n Computers & Geosciences, 69: 22-32. 8 2014.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n\n@article{\n title = {Semi-automatic mapping of geological Structures using UAV-based photogrammetric data: An image analysis approach},\n type = {article},\n year = {2014},\n keywords = {Automated image feature detection,Contrast invariant feature detection,Photogrammetric data analysis,Semi-automated fault mapping,automated image feature detection,photogrammetric data analysis,semi-automated fault mapping},\n pages = {22-32},\n volume = {69},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0098300414000892},\n month = {8},\n publisher = {Elsevier},\n id = {66e2cd85-4d94-3804-a75e-31cef0943f3d},\n created = {2018-07-21T16:18:03.469Z},\n accessed = {2014-08-20},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:03.469Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Vasuki2014},\n private_publication = {false},\n bibtype = {article},\n author = {Vasuki, Yathunanthan and Holden, Eun-Jung and Kovesi, Peter and Micklethwaite, Steven},\n doi = {10.1016/j.cageo.2014.04.012},\n journal = {Computers & Geosciences}\n}\n\n \n\n \n \n \n \n \n \n Mitigating systematic error in topographic models derived from UAV and ground-based image networks.\n \n \n \n \n\n\n \n James, M., R.; and Robson, S.\n\n\n \n\n\n\n Earth Surface Processes and Landforms, 39(10): 1413-1420. 8 2014.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Mitigating systematic error in topographic models derived from UAV and ground-based image networks},\n type = {article},\n year = {2014},\n keywords = {Bundle adjustment,DEM,Radial lens distortion,Structure-from-motion,UAV,bundle adjustment,dem,radial lens distortion,structure-from-motion,uav},\n pages = {1413-1420},\n volume = {39},\n websites = {http://doi.wiley.com/10.1002/esp.3609},\n month = {8},\n day = {19},\n id = {53ff56b2-894e-34f2-85d5-daf0a384796a},\n created = {2018-07-21T16:18:03.665Z},\n accessed = {2014-07-14},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:03.665Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {James2014},\n private_publication = {false},\n abstract = {High resolution digital elevation models (DEMs) are increasingly produced from photographs acquired with consumer cameras, both from the ground and from unmanned aerial vehicles (UAVs). However, although such DEMs may achieve centimetric detail, they can also display systematic broad-scale error that restricts their wider use. Such errors which, in typical UAV data are expressed as a vertical ‘doming’ of the surface, result from a combination of near-parallel imaging directions and inaccurate correction of radial lens distortion. Using simulations of multi-image networks with near-parallel viewing directions, we show that enabling camera self-calibration as part of the bundle adjustment process inherently leads to erroneous radial distortion estimates and associated DEM error. This effect is relevant whether a traditional photogrammetric or newer structure-from-motion (SfM) approach is used, but errors are expected to be more pronounced in SfM-based DEMs, for which use of control and check point measurements are typically more limited. Systematic DEM error can be significantly reduced by the additional capture and inclusion of oblique images in the image network; we provide practical flight plan solutions for fixed wing or rotor-based UAVs that, in the absence of control points, can reduce DEM error by up to two orders of magnitude. The magnitude of doming error shows a linear relationship with radial distortion and we show how characterization of this relationship allows an improved distortion estimate and, hence, existing datasets to be optimally reprocessed. Although focussed on UAV surveying, our results are also relevant to ground-based image capture. Copyright © 2014 John Wiley & Sons, Ltd.},\n bibtype = {article},\n author = {James, Mike R. and Robson, Stuart},\n doi = {10.1002/esp.3609},\n journal = {Earth Surface Processes and Landforms},\n number = {10}\n}\n\n High resolution digital elevation models (DEMs) are increasingly produced from photographs acquired with consumer cameras, both from the ground and from unmanned aerial vehicles (UAVs). However, although such DEMs may achieve centimetric detail, they can also display systematic broad-scale error that restricts their wider use. Such errors which, in typical UAV data are expressed as a vertical ‘doming’ of the surface, result from a combination of near-parallel imaging directions and inaccurate correction of radial lens distortion. Using simulations of multi-image networks with near-parallel viewing directions, we show that enabling camera self-calibration as part of the bundle adjustment process inherently leads to erroneous radial distortion estimates and associated DEM error. This effect is relevant whether a traditional photogrammetric or newer structure-from-motion (SfM) approach is used, but errors are expected to be more pronounced in SfM-based DEMs, for which use of control and check point measurements are typically more limited. Systematic DEM error can be significantly reduced by the additional capture and inclusion of oblique images in the image network; we provide practical flight plan solutions for fixed wing or rotor-based UAVs that, in the absence of control points, can reduce DEM error by up to two orders of magnitude. The magnitude of doming error shows a linear relationship with radial distortion and we show how characterization of this relationship allows an improved distortion estimate and, hence, existing datasets to be optimally reprocessed. Although focussed on UAV surveying, our results are also relevant to ground-based image capture. Copyright © 2014 John Wiley & Sons, Ltd.\n
\n\n\n\n \n\n \n \n \n \n \n \n An initial evaluation of drone-based monitoring of boulder beaches in Galicia, north-western Spain.\n \n \n \n \n\n\n \n Pérez-Alberti, A.; and Trenhaile, A., S.\n\n\n \n\n\n\n Earth Surface Processes and Landforms, 111(October 2014): n/a-n/a. 10 2014.\n \n\n\n\n
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\n\n\n@article{\n title = {An initial evaluation of drone-based monitoring of boulder beaches in Galicia, north-western Spain},\n type = {article},\n year = {2014},\n keywords = {10.1002/esp.3654 and micro-drone,Boulder beach,Boulder movement,GIS,Galicia,Micro-drone,boulder beach,boulder movement,galicia,gis,micro-drone},\n pages = {n/a-n/a},\n volume = {111},\n websites = {http://doi.wiley.com/10.1002/esp.3654},\n month = {10},\n day = {11},\n id = {d64a3dd8-39eb-3da0-814b-d9fedc6fb719},\n created = {2018-07-21T16:18:03.807Z},\n accessed = {2015-01-06},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:03.807Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Perez-Alberti2014},\n private_publication = {false},\n abstract = {Low altitude flights by a micro-drone were made in 2012 and 2013 over two boulder beaches in northwestern Spain. Geographical information system software was used to map the data. Boulder outlines from the first flight were recorded on 4796 clasts at Laxe Brava and 2508 clasts at Oia. Changes in location were identified by overlaying these outlines on the 2013 images. About 17.5 % of the boulders (mean surface area 0.32 m2) moved at Laxe Brava and about 53 % (mean surface area 0.23 m2) at Oia. Most movement on both beaches was between the mid-tide to about 2 m above the high tidal level. The location and elevation of the highest points were also recorded on the 2012 images on 4093 boulders at Laxe Brava and 3324 boulders at Oia. These elevations were compared with the elevations at the same locations in 2013. The occurrence and scale of the elevational changes were generally consistent with changes in the boulder outlines. The study confirmed that boulder beaches can be cheaply and effectively monitored using high resolution, micro-drone technology.},\n bibtype = {article},\n author = {Pérez-Alberti, Augusto and Trenhaile, Alan S.},\n doi = {10.1002/esp.3654},\n journal = {Earth Surface Processes and Landforms},\n number = {October 2014}\n}\n\n Low altitude flights by a micro-drone were made in 2012 and 2013 over two boulder beaches in northwestern Spain. Geographical information system software was used to map the data. Boulder outlines from the first flight were recorded on 4796 clasts at Laxe Brava and 2508 clasts at Oia. Changes in location were identified by overlaying these outlines on the 2013 images. About 17.5 % of the boulders (mean surface area 0.32 m2) moved at Laxe Brava and about 53 % (mean surface area 0.23 m2) at Oia. Most movement on both beaches was between the mid-tide to about 2 m above the high tidal level. The location and elevation of the highest points were also recorded on the 2012 images on 4093 boulders at Laxe Brava and 3324 boulders at Oia. These elevations were compared with the elevations at the same locations in 2013. The occurrence and scale of the elevational changes were generally consistent with changes in the boulder outlines. The study confirmed that boulder beaches can be cheaply and effectively monitored using high resolution, micro-drone technology.\n
\n\n\n\n \n\n \n \n \n \n \n \n Multi-temporal UAV data for automatic measurement of rill and interrill erosion on loess soil.\n \n \n \n \n\n\n \n Eltner, A.; Baumgart, P.; Maas, H., G.; and Faust, D.\n\n\n \n\n\n\n Earth Surface Processes and Landforms, 40(6): n/a-n/a. 11 2014.\n \n\n\n\n
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\n\n\n@article{\n title = {Multi-temporal UAV data for automatic measurement of rill and interrill erosion on loess soil},\n type = {article},\n year = {2014},\n keywords = {10.1002/esp.3673 and UAV,Automatic rill extraction,Field scale,Rill-interrill,Soil erosion,UAV,automatic rill extraction,field scale,interrill,rill,rill–interrill,soil erosion,uav},\n pages = {n/a-n/a},\n volume = {40},\n websites = {http://doi.wiley.com/10.1002/esp.3673},\n month = {11},\n day = {26},\n id = {9b0b2287-dbac-338f-a9f8-ac51fe74dcc8},\n created = {2018-07-21T16:18:03.860Z},\n accessed = {2014-12-17},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:03.860Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Eltner2014},\n private_publication = {false},\n abstract = {The fragile landscape of the north European loess belt is very prone to soil erosion due to soil properties and intense land use of the fertile region. Exact measurement of surface changes with high temporal and spatial resolution over large areas is necessary to quantify and understand rill and interrill erosion processes. High resolution aerial imagery, acquired by an unmanned aerial vehicle (UAV), is used to automatically generate precise digital surface models (DSMs) of very high spatial resolution by applying structure-from-motion image processing tools. During an investigation period of ten months, a 600 m2 field plot is observed during four field campaigns. A stable reference system is established for multi-temporal comparison. The accuracy of the DSMs is less than 1 cm, verified by comparison with terrestrial laser scanner data. A method for automatic rill extraction and rill parameter calculation is developed, enabling objective rill description with cm-accuracy and -resolution. Soil surface roughness and rill development as well as volumetric quantifications are analysed. Surface changes during winter season are controlled by soil consolidation, crusting and sheet erosion. During rainy spring season sheet erosion and rill incision occur. Two thunderstorms in summer season cause dominant rill erosion. Erosion rills are more deepening than widening (from to 2 to 4 cm depth and from 17 to 23 cm width), resulting in average per rill erosion values of 0.03 and 0.07 m3, respectively. An orientation dependent lateral rill shift is revealed, implying rill widening mainly in eastern direction due to dominant winds from the West. Volumetric quantifications indicate high erosion volumes, reaching up to 121 tha-1 during the summer events. Highest erosion volumes are due to rill erosion rather than interrill erosion. Area based soil surface change detection based on DSMs automatically generated from UAV imagery enable new insights into rill and interrill erosion.},\n bibtype = {article},\n author = {Eltner, Anette and Baumgart, Philipp and Maas, Hans-Gerd Gerd and Faust, Dominik},\n doi = {10.1002/esp.3673},\n journal = {Earth Surface Processes and Landforms},\n number = {6}\n}\n\n The fragile landscape of the north European loess belt is very prone to soil erosion due to soil properties and intense land use of the fertile region. Exact measurement of surface changes with high temporal and spatial resolution over large areas is necessary to quantify and understand rill and interrill erosion processes. High resolution aerial imagery, acquired by an unmanned aerial vehicle (UAV), is used to automatically generate precise digital surface models (DSMs) of very high spatial resolution by applying structure-from-motion image processing tools. During an investigation period of ten months, a 600 m2 field plot is observed during four field campaigns. A stable reference system is established for multi-temporal comparison. The accuracy of the DSMs is less than 1 cm, verified by comparison with terrestrial laser scanner data. A method for automatic rill extraction and rill parameter calculation is developed, enabling objective rill description with cm-accuracy and -resolution. Soil surface roughness and rill development as well as volumetric quantifications are analysed. Surface changes during winter season are controlled by soil consolidation, crusting and sheet erosion. During rainy spring season sheet erosion and rill incision occur. Two thunderstorms in summer season cause dominant rill erosion. Erosion rills are more deepening than widening (from to 2 to 4 cm depth and from 17 to 23 cm width), resulting in average per rill erosion values of 0.03 and 0.07 m3, respectively. An orientation dependent lateral rill shift is revealed, implying rill widening mainly in eastern direction due to dominant winds from the West. Volumetric quantifications indicate high erosion volumes, reaching up to 121 tha-1 during the summer events. Highest erosion volumes are due to rill erosion rather than interrill erosion. Area based soil surface change detection based on DSMs automatically generated from UAV imagery enable new insights into rill and interrill erosion.\n
\n\n\n\n \n\n \n \n \n \n \n \n Coastal cliff geometry derived from structure-from-motion photogrammetry at Stara Baška, Krk Island, Croatia.\n \n \n \n \n\n\n \n Ružić, I.; Marović, I.; Benac, Č.; and Ilić, S.\n\n\n \n\n\n\n Geo-Marine Letters. 8 2014.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Coastal cliff geometry derived from structure-from-motion photogrammetry at Stara Baška, Krk Island, Croatia},\n type = {article},\n year = {2014},\n websites = {http://link.springer.com/10.1007/s00367-014-0380-4},\n month = {8},\n day = {15},\n id = {e498117a-4ea4-3f78-be81-54886f3b28c1},\n created = {2018-07-21T16:18:04.102Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.102Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Ruzic2014},\n private_publication = {false},\n bibtype = {article},\n author = {Ružić, Igor and Marović, Ivan and Benac, Čedomir and Ilić, Suzana},\n doi = {10.1007/s00367-014-0380-4},\n journal = {Geo-Marine Letters}\n}\n\n \n\n \n \n \n \n \n \n The potential of unmanned aerial vehicle for large scale mapping of coastal area.\n \n \n \n \n\n\n \n Darwin, N.; Ahmad, A.; and Zainon, O.\n\n\n \n\n\n\n In IOP Conference Series: Earth and Environmental Science, volume 18, pages 012031, 2 2014. \n \n\n\n\n
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\n\n\n@inproceedings{\n title = {The potential of unmanned aerial vehicle for large scale mapping of coastal area},\n type = {inproceedings},\n year = {2014},\n pages = {012031},\n volume = {18},\n issue = {1},\n websites = {http://stacks.iop.org/1755-1315/18/i=1/a=012031?key=crossref.1643a689802d807381f66c28eff843ae},\n month = {2},\n day = {25},\n id = {61f5d44b-ecf5-329e-a3fb-7c716a96a656},\n created = {2018-07-21T16:18:04.353Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T10:11:56.334Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Darwin2014},\n private_publication = {false},\n abstract = {Many countries in the tropical region are covered with cloud for most of the time, hence, it is difficult to get clear images especially from high resolution satellite imagery. Aerial photogrammetry can be used but most of the time the cloud problem still exists. Today, this problem could be solved using a system known as unmanned aerial vehicle (UAV) where the aerial images can be acquired at low altitude and the system can fly under the cloud. The UAV system could be used in various applications including mapping coastal area. The UAV system is equipped with an autopilot system and automatic method known as autonomous flying that can be utilized for data acquisition. To achieve high resolution imagery, a compact digital camera of high resolution was used to acquire the aerial images at an altitude. In this study, the UAV system was employed to acquire aerial images of a coastal simulation model at low altitude. From the aerial images, photogrammetric image processing was executed to produce photogrammetric outputs such a digital elevation model (DEM), contour line and orthophoto. In this study, ground control point (GCP) and check point (CP) were established using conventional ground surveying method (i.e total station). The GCP is used for exterior orientation in photogrammetric processes and CP for accuracy assessment based on Root Mean Square Error (RMSE). From this study, it was found that the UAV system can be used for large scale mapping of coastal simulation model with accuracy at millimeter level. It is anticipated that the same system could be used for large scale mapping of real coastal area and produces good accuracy. Finally, the UAV system has great potential to be used for various applications that require accurate results or products at limited time and less man power.},\n bibtype = {inproceedings},\n author = {Darwin, N and Ahmad, A and Zainon, O},\n doi = {10.1088/1755-1315/18/1/012031},\n booktitle = {IOP Conference Series: Earth and Environmental Science}\n}\n\n Many countries in the tropical region are covered with cloud for most of the time, hence, it is difficult to get clear images especially from high resolution satellite imagery. Aerial photogrammetry can be used but most of the time the cloud problem still exists. Today, this problem could be solved using a system known as unmanned aerial vehicle (UAV) where the aerial images can be acquired at low altitude and the system can fly under the cloud. The UAV system could be used in various applications including mapping coastal area. The UAV system is equipped with an autopilot system and automatic method known as autonomous flying that can be utilized for data acquisition. To achieve high resolution imagery, a compact digital camera of high resolution was used to acquire the aerial images at an altitude. In this study, the UAV system was employed to acquire aerial images of a coastal simulation model at low altitude. From the aerial images, photogrammetric image processing was executed to produce photogrammetric outputs such a digital elevation model (DEM), contour line and orthophoto. In this study, ground control point (GCP) and check point (CP) were established using conventional ground surveying method (i.e total station). The GCP is used for exterior orientation in photogrammetric processes and CP for accuracy assessment based on Root Mean Square Error (RMSE). From this study, it was found that the UAV system can be used for large scale mapping of coastal simulation model with accuracy at millimeter level. It is anticipated that the same system could be used for large scale mapping of real coastal area and produces good accuracy. Finally, the UAV system has great potential to be used for various applications that require accurate results or products at limited time and less man power.\n
\n\n\n\n \n\n \n \n \n \n \n Technical Note An Unmanned Aerial Vehicle for Rangeland Photography.\n \n \n \n\n\n \n Hardin, P., J.; and Jackson, M., W.\n\n\n \n\n\n\n Rangeland ecology & management, 58(4): 439-442. 2014.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Technical Note An Unmanned Aerial Vehicle for Rangeland Photography},\n type = {article},\n year = {2014},\n keywords = {1990s,1997,aerial photog- tography,aerial photography,again flourished briefly under,everitt et al,for many rangeland managers,in 2005,large-scale air photography for,rangeland management,small-format pho-,the high cost of,the marquee,this small-format},\n pages = {439-442},\n volume = {58},\n id = {2277ccfe-6579-3a9f-a81f-e332a757d243},\n created = {2018-07-21T16:18:05.507Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:05.507Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Hardin2014},\n private_publication = {false},\n bibtype = {article},\n author = {Hardin, Perry J and Jackson, Mark W},\n journal = {Rangeland ecology & management},\n number = {4}\n}\n\n \n\n \n \n \n \n \n Unmanned Air Vehicles for Coastal and Environmental Research content in a trusted digital archive . We use information technology and tools to increase productivity and facilitate new forms All use subject to JSTOR Terms and Conditions Unmanned Air Vehicl.\n \n \n \n\n\n \n Pereira, A., E.; Bencatel, R.; Correia, J.; Félix, L.; Gonçalves, G.; Morgado, J.; Sousa, J.; Pereiraf, E.; Bencatelj, R.; Morgadof, J.; Correiaj, J.; Felixf, L.; and Gon, G.\n\n\n \n\n\n\n Journal of coastal research, II(56): 1557-1561. 2014.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Unmanned Air Vehicles for Coastal and Environmental Research content in a trusted digital archive . We use information technology and tools to increase productivity and facilitate new forms All use subject to JSTOR Terms and Conditions Unmanned Air Vehicl},\n type = {article},\n year = {2014},\n pages = {1557-1561},\n volume = {II},\n id = {91256899-05ef-30cd-8cde-c70760d5ded7},\n created = {2018-07-21T16:18:05.615Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:05.615Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Pereira2014},\n private_publication = {false},\n bibtype = {article},\n author = {Pereira, Author E and Bencatel, R and Correia, J and Félix, L and Gonçalves, G and Morgado, J and Sousa, J and Pereiraf, E and Bencatelj, R and Morgadof, J and Correiaj, J and Felixf, L and Gon, G},\n journal = {Journal of coastal research},\n number = {56}\n}\n\n \n\n \n \n \n \n \n \n The Potential of Unmanned Aerial Vehicle for Large Scale Mapping of Coastal Area.\n \n \n \n \n\n\n \n Darwin, N.; Ahmad, a.; and Zainon, O.\n\n\n \n\n\n\n IOP Conference Series: Earth and Environmental Science, 18: 012031. 2 2014.\n \n\n\n\n
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\n\n\n\n@article{\n title = {The Potential of Unmanned Aerial Vehicle for Large Scale Mapping of Coastal Area},\n type = {article},\n year = {2014},\n pages = {012031},\n volume = {18},\n websites = {http://stacks.iop.org/1755-1315/18/i=1/a=012031?key=crossref.1643a689802d807381f66c28eff843ae},\n month = {2},\n day = {25},\n id = {6972220c-18af-317b-bce2-53fde217d73e},\n created = {2018-07-21T16:18:05.912Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:57.062Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Darwin2014},\n private_publication = {false},\n bibtype = {article},\n author = {Darwin, N and Ahmad, a and Zainon, O},\n doi = {10.1088/1755-1315/18/1/012031},\n journal = {IOP Conference Series: Earth and Environmental Science}\n}\n\n \n\n \n \n \n \n \n \n DRELIO: Un drone hélicoptère pour le suivi des zones littorales.\n \n \n \n \n\n\n \n Marion, J.; Delacourt, C.; Allemand, P.; Jaud, M.; Delacourt, C.; Allemand, P.; Grandjean, P.; Ammann, J.; Cancouët, R.; Deschamps, A.; Varrel, E.; Cuq, V.; and Suanez, S.\n\n\n \n\n\n\n Revue Paralia, 7: 1-12. 2014.\n \n\n\n\n
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\n\n\n@article{\n title = {DRELIO: Un drone hélicoptère pour le suivi des zones littorales},\n type = {article},\n year = {2014},\n keywords = {Auteurs : Marion JAUD et al.,Beach monitoring,DEM,DOI: http://dx.doi.org/10.5150/revue-paralia.2014.,Photogrammetry,Remote Sensing,Stereorestitution,Titre : DRELIO : Un drone hélicoptère pour le suiv,beach monitoring,dem,photogrammetry,remote sensing,stereorestitution},\n pages = {1-12},\n volume = {7},\n websites = {http://www.paralia.fr/editions/index.php/revue/article/view/revue-paralia.2014.s02},\n id = {6a2ff5a5-3cd7-3a4a-9d7f-0db010f4d7e7},\n created = {2018-07-21T16:18:06.015Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:57.035Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Marion2014},\n private_publication = {false},\n abstract = {To get to know, to protect and to manage coastal area, a regular monitoring of its variation is needed. Nevertheless, for practical purposes, in situ measurements could not be carried out systematically. Thus, spatial or aerial remote sensing techniques are complementary methods. After an appropriate photogrammetric processing chain, orthophotographies and DEM can be provided from the multi-temporal stereoscopic images acquired in this way. Such results allow to quantify morphosedimentary changes. But, at the present time, the spatial resolution of these DEM is insufficient for most of the applications on the littoral fringe. Moreover, to collect data after severe event, these systems are not flexible enough (predefined path, confines on flight altitude, cost of implementing...). The use of drones is so an interesting alternative for an accurate monitoring or rapid response.},\n bibtype = {article},\n author = {Marion, J and Delacourt, Christophe and Allemand, Pascal and Jaud, Marion and Delacourt, Christophe and Allemand, Pascal and Grandjean, Philippe and Ammann, Jérôme and Cancouët, Romain and Deschamps, Anne and Varrel, Eric and Cuq, Véronique and Suanez, Serge},\n doi = {http://dx.doi.org/10.5150/revue-paralia.2014.s02},\n journal = {Revue Paralia}\n}\n\n To get to know, to protect and to manage coastal area, a regular monitoring of its variation is needed. Nevertheless, for practical purposes, in situ measurements could not be carried out systematically. Thus, spatial or aerial remote sensing techniques are complementary methods. After an appropriate photogrammetric processing chain, orthophotographies and DEM can be provided from the multi-temporal stereoscopic images acquired in this way. Such results allow to quantify morphosedimentary changes. But, at the present time, the spatial resolution of these DEM is insufficient for most of the applications on the littoral fringe. Moreover, to collect data after severe event, these systems are not flexible enough (predefined path, confines on flight altitude, cost of implementing...). The use of drones is so an interesting alternative for an accurate monitoring or rapid response.\n
\n\n\n\n \n\n \n \n \n \n \n content in a trusted digital archive . We use information technology and tools to increase productivity and facilitate new forms All use subject to JSTOR Terms and Conditions.\n \n \n \n\n\n \n Races, L., E., S.; Les, E., T.; La, P., D., E.; Après, T., D.; Renato, M.; Asia, E.; Biasutti, R.; Bartoli, M.; Battaglia, R.; Corso, R.; Genna, G.; Sorre, M.; Géographie, A., D.; and Septembre-octobre, N.\n\n\n \n\n\n\n , I(1): 2-5. 2014.\n \n\n\n\n
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\n\n\n\n@article{\n title = {content in a trusted digital archive . We use information technology and tools to increase productivity and facilitate new forms All use subject to JSTOR Terms and Conditions},\n type = {article},\n year = {2014},\n pages = {2-5},\n volume = {I},\n id = {03ee1134-e73b-3031-a732-b9abf4d59fd6},\n created = {2018-07-23T13:44:53.408Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.597Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Races2014a},\n private_publication = {false},\n bibtype = {article},\n author = {Races, L E S and Les, E T and La, Peuples D E and Après, Terre D and Renato, M and Asia, Europa and Biasutti, Renato and Bartoli, Matteo and Battaglia, Raffaello and Corso, Raffaele and Genna, Giuseppe and Sorre, Max and Géographie, Annales De and Septembre-octobre, No},\n number = {1}\n}\n\n
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\n \n \n\n \n \n \n \n \n \n Geomorphological mapping with a small unmanned aircraft system (sUAS): Feature detection and accuracy assessment of a photogrammetrically-derived digital terrain model.\n \n \n \n \n\n\n \n Hugenholtz, C., H.; Whitehead, K.; Brown, O., W.; Barchyn, T., E.; Moorman, B., J.; LeClair, A.; Riddell, K.; and Hamilton, T.\n\n\n \n\n\n\n Geomorphology, 194(C): 16-24. 7 2013.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Geomorphological mapping with a small unmanned aircraft system (sUAS): Feature detection and accuracy assessment of a photogrammetrically-derived digital terrain model},\n type = {article},\n year = {2013},\n keywords = {Digital terrain model accuracy,High-resolution geomorphic mapping,LiDAR,Small unmanned aircraft system (sUAS),Topographic change detection,digital terrain model accuracy,small unmanned aircraft system,suas},\n pages = {16-24},\n volume = {194},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0169555X13001736,http://dx.doi.org/10.1016/j.geomorph.2013.03.023,papers2://publication/doi/10.1016/j.geomorph.2013.03.023},\n month = {7},\n publisher = {Elsevier B.V.},\n day = {15},\n id = {81ab9316-63b6-3f9b-8763-b00b2a0040c0},\n created = {2018-07-21T13:04:00.644Z},\n accessed = {2014-07-10},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.782Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Hugenholtz2013},\n source_type = {JOUR},\n private_publication = {false},\n abstract = {Geomorphology, 194 (2013) 16-24. doi:10.1016/j.geomorph.2013.03.023},\n bibtype = {article},\n author = {Hugenholtz, Chris H. and Whitehead, Ken and Brown, Owen W. and Barchyn, Thomas E. and Moorman, Brian J. and LeClair, Adam and Riddell, Kevin and Hamilton, Tayler},\n doi = {10.1016/j.geomorph.2013.03.023},\n journal = {Geomorphology},\n number = {C}\n}\n\n Geomorphology, 194 (2013) 16-24. doi:10.1016/j.geomorph.2013.03.023\n
\n\n\n\n \n\n \n \n \n \n \n \n Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments.\n \n \n \n \n\n\n \n Mancini, F.; Dubbini, M.; Gattelli, M.; Stecchi, F.; Fabbri, S.; and Gabbianelli, G.\n\n\n \n\n\n\n Remote Sensing, 5(12): 6880-6898. 12 2013.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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Website\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n
\n\n\n@article{\n title = {Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments},\n type = {article},\n year = {2013},\n keywords = {UAV,beach dunes system,digital surface model,structure from motion,terrestrial laser scanning},\n pages = {6880-6898},\n volume = {5},\n websites = {http://www.mdpi.com/2072-4292/5/12/6880/,papers2://publication/doi/10.3390/rs5126880},\n month = {12},\n day = {1},\n id = {4427f8af-7da2-3660-b837-cba45b4fe78b},\n created = {2018-07-21T13:04:01.124Z},\n accessed = {2014-07-10},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.793Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mancini2013},\n source_type = {JOUR},\n private_publication = {false},\n abstract = {The availability of high-resolution Digital Surface Models of coastal environments is of increasing interest for scientists involved in the study of the coastal system processes. Among the range of terrestrial and aerial methods available to produce such a dataset, this study tests the utility of the Structure from Motion (SfM) approach to low-altitude aerial imageries collected by Unmanned Aerial Vehicle (UAV). The SfM image-based approach was selected whilst searching for a rapid, inexpensive, and highly automated method, able to produce 3D information from unstructured aerial images. In particular, it was used to generate a dense point cloud and successively a high-resolution Digital Surface Models (DSM) of a beach dune system in Marina di Ravenna (Italy). The quality of the elevation dataset produced by the UAV-SfM was initially evaluated by comparison with point cloud generated by a Terrestrial Laser Scanning (TLS) surveys. Such a comparison served to highlight an average difference in the vertical values of \n0.05 m (RMS = 0.19 m). However, although the points cloud comparison is the best approach to investigate the absolute or relative correspondence between UAV and TLS methods, the assessment of geomorphic features is usually based on multi-temporal surfaces analysis, where an interpolation process is required. DSMs were therefore generated from UAV and TLS points clouds and vertical absolute accuracies assessed by comparison with a Global Navigation Satellite System (GNSS) survey. The vertical comparison of UAV and TLS DSMs with respect to GNSS measurements pointed out an average distance at cm-level (RMS = 0.011 m). The successive point by point direct comparison between UAV and TLS elevations show a very small average distance, \n0.015 m, with RMS = 0.220 m. Larger values are encountered in areas where sudden changes in topography are present. The UAV-based approach was demonstrated to be a straightforward one and accuracy of the vertical dataset was compa},\n bibtype = {article},\n author = {Mancini, Francesco and Dubbini, Marco and Gattelli, Mario and Stecchi, Francesco and Fabbri, Stefano and Gabbianelli, Giovanni},\n doi = {10.3390/rs5126880},\n journal = {Remote Sensing},\n number = {12}\n}\n\n The availability of high-resolution Digital Surface Models of coastal environments is of increasing interest for scientists involved in the study of the coastal system processes. Among the range of terrestrial and aerial methods available to produce such a dataset, this study tests the utility of the Structure from Motion (SfM) approach to low-altitude aerial imageries collected by Unmanned Aerial Vehicle (UAV). The SfM image-based approach was selected whilst searching for a rapid, inexpensive, and highly automated method, able to produce 3D information from unstructured aerial images. In particular, it was used to generate a dense point cloud and successively a high-resolution Digital Surface Models (DSM) of a beach dune system in Marina di Ravenna (Italy). The quality of the elevation dataset produced by the UAV-SfM was initially evaluated by comparison with point cloud generated by a Terrestrial Laser Scanning (TLS) surveys. Such a comparison served to highlight an average difference in the vertical values of \n0.05 m (RMS = 0.19 m). However, although the points cloud comparison is the best approach to investigate the absolute or relative correspondence between UAV and TLS methods, the assessment of geomorphic features is usually based on multi-temporal surfaces analysis, where an interpolation process is required. DSMs were therefore generated from UAV and TLS points clouds and vertical absolute accuracies assessed by comparison with a Global Navigation Satellite System (GNSS) survey. The vertical comparison of UAV and TLS DSMs with respect to GNSS measurements pointed out an average distance at cm-level (RMS = 0.011 m). The successive point by point direct comparison between UAV and TLS elevations show a very small average distance, \n0.015 m, with RMS = 0.220 m. Larger values are encountered in areas where sudden changes in topography are present. The UAV-based approach was demonstrated to be a straightforward one and accuracy of the vertical dataset was compa\n
\n\n\n\n \n\n \n \n \n \n \n \n Visualizing and Quantifying Vineyard Canopy LAI Using an Unmanned Aerial Vehicle (UAV) Collected High Density Structure from Motion Point Cloud.\n \n \n \n \n\n\n \n Mathews, A.; and Jensen, J.\n\n\n \n\n\n\n Remote Sensing, 5(5): 2164-2183. 5 2013.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Visualizing and Quantifying Vineyard Canopy LAI Using an Unmanned Aerial Vehicle (UAV) Collected High Density Structure from Motion Point Cloud},\n type = {article},\n year = {2013},\n keywords = {LAI,SfM,UAV,bundle adjustment,point cloud,structure from motion,vegetation,vineyard},\n pages = {2164-2183},\n volume = {5},\n websites = {http://www.mdpi.com/2072-4292/5/5/2164/htm},\n month = {5},\n day = {7},\n id = {31922131-1616-3165-8e85-f623b4245d5f},\n created = {2018-07-21T13:59:03.081Z},\n accessed = {2014-07-21},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.640Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mathews2013},\n private_publication = {false},\n abstract = {This study explores the use of structure from motion (SfM), a computer vision technique, to model vine canopy structure at a study vineyard in the Texas Hill Country. Using an unmanned aerial vehicle (UAV) and a digital camera, 201 aerial images (nadir and oblique) were collected and used to create a SfM point cloud. All points were classified as ground or non-ground points. Non-ground points, presumably representing vegetation and other above ground objects, were used to create visualizations of the study vineyard blocks. Further, the relationship between non-ground points in close proximity to 67 sample vines and collected leaf area index (LAI) measurements for those same vines was also explored. Points near sampled vines were extracted from which several metrics were calculated and input into a stepwise regression model to attempt to predict LAI. This analysis resulted in a moderate R2 value of 0.567, accounting for 57 percent of the variation of LAISQRT using six predictor variables. These results provide further justification for SfM datasets to provide three-dimensional datasets necessary for vegetation structure visualization and biophysical modeling over areas of smaller extent. Additionally, SfM datasets can provide an increased temporal resolution compared to traditional three-dimensional datasets like those captured by light detection and ranging (lidar).},\n bibtype = {article},\n author = {Mathews, Adam and Jensen, Jennifer},\n doi = {10.3390/rs5052164},\n journal = {Remote Sensing},\n number = {5}\n}\n\n This study explores the use of structure from motion (SfM), a computer vision technique, to model vine canopy structure at a study vineyard in the Texas Hill Country. Using an unmanned aerial vehicle (UAV) and a digital camera, 201 aerial images (nadir and oblique) were collected and used to create a SfM point cloud. All points were classified as ground or non-ground points. Non-ground points, presumably representing vegetation and other above ground objects, were used to create visualizations of the study vineyard blocks. Further, the relationship between non-ground points in close proximity to 67 sample vines and collected leaf area index (LAI) measurements for those same vines was also explored. Points near sampled vines were extracted from which several metrics were calculated and input into a stepwise regression model to attempt to predict LAI. This analysis resulted in a moderate R2 value of 0.567, accounting for 57 percent of the variation of LAISQRT using six predictor variables. These results provide further justification for SfM datasets to provide three-dimensional datasets necessary for vegetation structure visualization and biophysical modeling over areas of smaller extent. Additionally, SfM datasets can provide an increased temporal resolution compared to traditional three-dimensional datasets like those captured by light detection and ranging (lidar).\n
\n\n\n\n \n\n \n \n \n \n \n \n Using UAV and VBS-RTK for Rapid Reconstruction of En-vironmental 3D Elevation Data of the Typhoon Morakot Disaster Area and Disaster Scale Assessment.\n \n \n \n \n\n\n \n Wu, C.; Hsiao, C.; and Hsieh, P.\n\n\n \n\n\n\n Journal of Chinese Soil and Water …, 44(1): 23-33. 2013.\n \n\n\n\n
\n\n\n\n \n \n![\"Using](\"//bibbase.org/img/filetypes/pdf.svg\"\n\t "\\"Website\\"\n\t")
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\n\n\n@article{\n title = {Using UAV and VBS-RTK for Rapid Reconstruction of En-vironmental 3D Elevation Data of the Typhoon Morakot Disaster Area and Disaster Scale Assessment},\n type = {article},\n year = {2013},\n keywords = {3d reconstruction,uav,unmanned aerial vehicles,vbs-rtk},\n pages = {23-33},\n volume = {44},\n websites = {http://www.cswcs.org.tw/AlldataPos/JournalPos/第44卷/第1期/44(1)023-033_03_20620 1 Using UAV and VBS-RTK for Rapid Reconstruction(更正檔).pdf},\n id = {df02f688-cf8c-33fd-a0ca-ffc740ccb75d},\n created = {2018-07-21T13:59:03.331Z},\n accessed = {2014-09-07},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.638Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Wu2013a},\n private_publication = {false},\n abstract = {In recent years, typhoons and heavy rains in Taiwan are often accompanied by sediment disasters such as landslides and debris flows. If disaster area information can be obtained in the shortest possible period of time for rapid assessment of sediment transport and disaster scale, it can provide quantitative reference information for follow-up disaster relief and decision-making. Focusing on the Leye collapse in the Typhoon Morakot disaster area and its surroundings as the research area, this study employed UAV, which defies ground photography angle limits and performs low-altitude photography of the disaster-hit area. Next, by using unconventional photogrammetry technology, a field of computer vision technology, combined with VBS-RTK technology, which has become mature in recent years, this study aims to accomplish real time positioning of the reference control points and rapidly reconstruct the environmental 3D elevation data of the disaster area. The proposed approach can enable a rapid quantitative assessment of major sources of sediment, potential unstable areas, and the scale of the sediment disaster. Topographic data obtained using the proposed method can be applied to rapidly calculate landslide depth, and landslide volume after comparison with pre-disaster DTM data.},\n bibtype = {article},\n author = {Wu, Ct and Hsiao, Cy and Hsieh, Ps},\n journal = {Journal of Chinese Soil and Water …},\n number = {1}\n}\n\n In recent years, typhoons and heavy rains in Taiwan are often accompanied by sediment disasters such as landslides and debris flows. If disaster area information can be obtained in the shortest possible period of time for rapid assessment of sediment transport and disaster scale, it can provide quantitative reference information for follow-up disaster relief and decision-making. Focusing on the Leye collapse in the Typhoon Morakot disaster area and its surroundings as the research area, this study employed UAV, which defies ground photography angle limits and performs low-altitude photography of the disaster-hit area. Next, by using unconventional photogrammetry technology, a field of computer vision technology, combined with VBS-RTK technology, which has become mature in recent years, this study aims to accomplish real time positioning of the reference control points and rapidly reconstruct the environmental 3D elevation data of the disaster area. The proposed approach can enable a rapid quantitative assessment of major sources of sediment, potential unstable areas, and the scale of the sediment disaster. Topographic data obtained using the proposed method can be applied to rapidly calculate landslide depth, and landslide volume after comparison with pre-disaster DTM data.\n
\n\n\n\n \n\n \n \n \n \n \n \n A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery.\n \n \n \n \n\n\n \n Lisein, J.; Pierrot-Deseilligny, M.; Bonnet, S.; and Lejeune, P.\n\n\n \n\n\n\n Forests, 4(4): 922-944. 11 2013.\n \n\n\n\n
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\n\n\n@article{\n title = {A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery},\n type = {article},\n year = {2013},\n keywords = {MICMAC,UAS,UAV,Unmanned Aerial Systems,canopy height,forest inventory,forestry,photogrammetry,uneven-aged broadleaf stands},\n pages = {922-944},\n volume = {4},\n websites = {http://www.mdpi.com/1999-4907/4/4/922/},\n month = {11},\n day = {6},\n id = {c4f044b0-9b93-376c-bad1-8c06fe4b4c9a},\n created = {2018-07-21T13:59:04.157Z},\n accessed = {2014-08-02},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.968Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Lisein2013},\n private_publication = {false},\n abstract = {The recent development of operational small unmanned aerial systems (UASs) opens the door for their extensive use in forest mapping, as both the spatial and temporal resolution of UAS imagery better suit local-scale investigation than traditional remote sensing tools. This article focuses on the use of combined photogrammetry and “Structure from Motion” approaches in order to model the forest canopy surface from low-altitude aerial images. An original workflow, using the open source and free photogrammetric toolbox, MICMAC (acronym for Multi Image Matches for Auto Correlation Methods), was set up to create a digital canopy surface model of deciduous stands. In combination with a co-registered light detection and ranging (LiDAR) digital terrain model, the elevation of vegetation was determined, and the resulting hybrid photo/LiDAR canopy height model was compared to data from a LiDAR canopy height model and from forest inventory data. Linear regressions predicting dominant height and individual height from plot metrics and crown metrics showed that the photogrammetric canopy height model was of good quality for deciduous stands. Although photogrammetric reconstruction significantly smooths the canopy surface, the use of thisworkflowhas the potential to take full advantage of the flexible revisit period of drones in order to refresh the LiDAR canopy height model and to collect dense multitemporal canopy height series. Keywords:},\n bibtype = {article},\n author = {Lisein, Jonathan and Pierrot-Deseilligny, Marc and Bonnet, Stéphanie and Lejeune, Philippe},\n doi = {10.3390/f4040922},\n journal = {Forests},\n number = {4}\n}\n\n The recent development of operational small unmanned aerial systems (UASs) opens the door for their extensive use in forest mapping, as both the spatial and temporal resolution of UAS imagery better suit local-scale investigation than traditional remote sensing tools. This article focuses on the use of combined photogrammetry and “Structure from Motion” approaches in order to model the forest canopy surface from low-altitude aerial images. An original workflow, using the open source and free photogrammetric toolbox, MICMAC (acronym for Multi Image Matches for Auto Correlation Methods), was set up to create a digital canopy surface model of deciduous stands. In combination with a co-registered light detection and ranging (LiDAR) digital terrain model, the elevation of vegetation was determined, and the resulting hybrid photo/LiDAR canopy height model was compared to data from a LiDAR canopy height model and from forest inventory data. Linear regressions predicting dominant height and individual height from plot metrics and crown metrics showed that the photogrammetric canopy height model was of good quality for deciduous stands. Although photogrammetric reconstruction significantly smooths the canopy surface, the use of thisworkflowhas the potential to take full advantage of the flexible revisit period of drones in order to refresh the LiDAR canopy height model and to collect dense multitemporal canopy height series. Keywords:\n
\n\n\n\n \n\n \n \n \n \n \n \n The potential of Unmanned Aerial Vehicle (UAV) for civilian and mapping application.\n \n \n \n \n\n\n \n Samad, A., M.; Kamarulzaman, N.; Hamdani, M., A.; Mastor, T., A.; and Hashim, K., A.\n\n\n \n\n\n\n 2013 IEEE 3rd International Conference on System Engineering and Technology,313-318. 8 2013.\n \n\n\n\n
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\n\n\n\n@article{\n title = {The potential of Unmanned Aerial Vehicle (UAV) for civilian and mapping application},\n type = {article},\n year = {2013},\n keywords = {digital camera,digital map,gis,photogrammetry},\n pages = {313-318},\n websites = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6650191},\n month = {8},\n publisher = {Ieee},\n id = {39631bd2-66a3-3534-8d65-0db77b400fdd},\n created = {2018-07-21T13:59:04.391Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.970Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Samad2013a},\n private_publication = {false},\n bibtype = {article},\n author = {Samad, Abd. Manan and Kamarulzaman, Nazrin and Hamdani, Muhammad Asyraf and Mastor, Thuaibatul Aslamiah and Hashim, Khairil Afendy},\n doi = {10.1109/ICSEngT.2013.6650191},\n journal = {2013 IEEE 3rd International Conference on System Engineering and Technology}\n}\n\n \n\n \n \n \n \n \n \n Lightweight unmanned aerial vehicles will revolutionize spatial ecology.\n \n \n \n \n\n\n \n Anderson, K.; and Gaston, K., J.\n\n\n \n\n\n\n Frontiers in Ecology and the Environment, 11(3): 138-146. 4 2013.\n \n\n\n\n
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\n\n\n@article{\n title = {Lightweight unmanned aerial vehicles will revolutionize spatial ecology},\n type = {article},\n year = {2013},\n pages = {138-146},\n volume = {11},\n websites = {http://www.esajournals.org/doi/abs/10.1890/120150},\n month = {4},\n id = {95fba6cd-ad88-3e94-8813-3da36aaf4745},\n created = {2018-07-21T16:17:57.352Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.955Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Anderson2013},\n private_publication = {false},\n abstract = {Ecologists require spatially explicit data to relate structure to function. To date, heavy reliance has been placed on obtaining such data from remote-sensing instruments mounted on spacecraft or manned aircraft, although the spatial and temporal resolutions of the data are often not suited to local-scale ecological investigations. Recent technological innovations have led to an upsurge in the availability of unmanned aerial vehicles (UAVs) ? aircraft remotely operated from the ground ? and there are now many lightweight UAVs on offer at reasonable costs. Flying low and slow, UAVs offer ecologists new opportunities for scale-appropriate measurements of ecological phenomena. Equipped with capable sensors, UAVs can deliver fine spatial resolution data at temporal resolutions defined by the end user. Recent innovations in UAV platform design have been accompanied by improvements in navigation and the miniaturization of measurement technologies, allowing the study of individual organisms and their spatiotemporal dynamics at close range.},\n bibtype = {article},\n author = {Anderson, Karen and Gaston, Kevin J.},\n doi = {10.1890/120150},\n journal = {Frontiers in Ecology and the Environment},\n number = {3}\n}\n\n Ecologists require spatially explicit data to relate structure to function. To date, heavy reliance has been placed on obtaining such data from remote-sensing instruments mounted on spacecraft or manned aircraft, although the spatial and temporal resolutions of the data are often not suited to local-scale ecological investigations. Recent technological innovations have led to an upsurge in the availability of unmanned aerial vehicles (UAVs) ? aircraft remotely operated from the ground ? and there are now many lightweight UAVs on offer at reasonable costs. Flying low and slow, UAVs offer ecologists new opportunities for scale-appropriate measurements of ecological phenomena. Equipped with capable sensors, UAVs can deliver fine spatial resolution data at temporal resolutions defined by the end user. Recent innovations in UAV platform design have been accompanied by improvements in navigation and the miniaturization of measurement technologies, allowing the study of individual organisms and their spatiotemporal dynamics at close range.\n
\n\n\n\n \n\n \n \n \n \n \n \n Very high resolution crop surface models (CSMs) from UAV-based stereo images for rice growth monitoring In Northeast China.\n \n \n \n \n\n\n \n Bendig, J.; Willkomm, M.; and Tillya, N.\n\n\n \n\n\n\n … Archives of the …, XL(September): 4-6. 2013.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Very high resolution crop surface models (CSMs) from UAV-based stereo images for rice growth monitoring In Northeast China},\n type = {article},\n year = {2013},\n keywords = {agricu lture,biomass,dem,multi-temporal data,plant height,rice,uav},\n pages = {4-6},\n volume = {XL},\n websites = {http://www.jbcreativgroup.com/pdf/conference-paper-isprs-archives-25587.pdf},\n id = {0c254951-63e8-3906-8403-7a179ef2058c},\n created = {2018-07-21T16:17:58.605Z},\n accessed = {2014-09-07},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.951Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Bendig2013},\n private_publication = {false},\n bibtype = {article},\n author = {Bendig, J and Willkomm, M and Tillya, N},\n journal = {… Archives of the …},\n number = {September}\n}\n\n \n\n \n \n \n \n \n \n Topographic structure from motion: a new development in photogrammetric measurement.\n \n \n \n \n\n\n \n Fonstad, M., A.; Dietrich, J., T.; Courville, B., C.; Jensen, J., L.; and Carbonneau, P., E.\n\n\n \n\n\n\n Earth Surface Processes and Landforms, 38(4): 421-430. 2013.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Topographic structure from motion: a new development in photogrammetric measurement},\n type = {article},\n year = {2013},\n keywords = {digital elevation models,lidar,structure from motion,topographic modeling},\n pages = {421-430},\n volume = {38},\n websites = {http://doi.wiley.com/10.1002/esp.3366},\n id = {6ae0567a-0bc1-3b32-b32a-2e16433b78d6},\n created = {2018-07-21T16:18:02.266Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:57.060Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Fonstad2013},\n private_publication = {false},\n bibtype = {article},\n author = {Fonstad, Mark A. and Dietrich, James T. and Courville, Brittany C. and Jensen, Jennifer L. and Carbonneau, Patrice E.},\n doi = {10.1002/esp.3366},\n journal = {Earth Surface Processes and Landforms},\n number = {4}\n}\n\n \n\n \n \n \n \n \n \n Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments.\n \n \n \n \n\n\n \n Mancini, F.; Dubbini, M.; Gattelli, M.; Stecchi, F.; Fabbri, S.; and Gabbianelli, G.\n\n\n \n\n\n\n Remote Sensing, 5(12): 6880-6898. 12 2013.\n \n\n\n\n
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\n\n\n@article{\n title = {Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments},\n type = {article},\n year = {2013},\n keywords = {UAV,beach dunes system,digital surface model,structure from motion,terrestrial laser scanning},\n pages = {6880-6898},\n volume = {5},\n websites = {http://www.mdpi.com/2072-4292/5/12/6880/,papers2://publication/doi/10.3390/rs5126880},\n month = {12},\n day = {1},\n id = {6f976058-828e-3ab4-8d07-7429b78635c7},\n created = {2018-07-21T16:18:02.593Z},\n accessed = {2014-07-10},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.593Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mancini2013},\n source_type = {JOUR},\n private_publication = {false},\n abstract = {The availability of high-resolution Digital Surface Models of coastal environments is of increasing interest for scientists involved in the study of the coastal system processes. Among the range of terrestrial and aerial methods available to produce such a dataset, this study tests the utility of the Structure from Motion (SfM) approach to low-altitude aerial imageries collected by Unmanned Aerial Vehicle (UAV). The SfM image-based approach was selected whilst searching for a rapid, inexpensive, and highly automated method, able to produce 3D information from unstructured aerial images. In particular, it was used to generate a dense point cloud and successively a high-resolution Digital Surface Models (DSM) of a beach dune system in Marina di Ravenna (Italy). The quality of the elevation dataset produced by the UAV-SfM was initially evaluated by comparison with point cloud generated by a Terrestrial Laser Scanning (TLS) surveys. Such a comparison served to highlight an average difference in the vertical values of \n0.05 m (RMS = 0.19 m). However, although the points cloud comparison is the best approach to investigate the absolute or relative correspondence between UAV and TLS methods, the assessment of geomorphic features is usually based on multi-temporal surfaces analysis, where an interpolation process is required. DSMs were therefore generated from UAV and TLS points clouds and vertical absolute accuracies assessed by comparison with a Global Navigation Satellite System (GNSS) survey. The vertical comparison of UAV and TLS DSMs with respect to GNSS measurements pointed out an average distance at cm-level (RMS = 0.011 m). The successive point by point direct comparison between UAV and TLS elevations show a very small average distance, \n0.015 m, with RMS = 0.220 m. Larger values are encountered in areas where sudden changes in topography are present. The UAV-based approach was demonstrated to be a straightforward one and accuracy of the vertical dataset was compa},\n bibtype = {article},\n author = {Mancini, Francesco and Dubbini, Marco and Gattelli, Mario and Stecchi, Francesco and Fabbri, Stefano and Gabbianelli, Giovanni},\n doi = {10.3390/rs5126880},\n journal = {Remote Sensing},\n number = {12}\n}\n\n The availability of high-resolution Digital Surface Models of coastal environments is of increasing interest for scientists involved in the study of the coastal system processes. Among the range of terrestrial and aerial methods available to produce such a dataset, this study tests the utility of the Structure from Motion (SfM) approach to low-altitude aerial imageries collected by Unmanned Aerial Vehicle (UAV). The SfM image-based approach was selected whilst searching for a rapid, inexpensive, and highly automated method, able to produce 3D information from unstructured aerial images. In particular, it was used to generate a dense point cloud and successively a high-resolution Digital Surface Models (DSM) of a beach dune system in Marina di Ravenna (Italy). The quality of the elevation dataset produced by the UAV-SfM was initially evaluated by comparison with point cloud generated by a Terrestrial Laser Scanning (TLS) surveys. Such a comparison served to highlight an average difference in the vertical values of \n0.05 m (RMS = 0.19 m). However, although the points cloud comparison is the best approach to investigate the absolute or relative correspondence between UAV and TLS methods, the assessment of geomorphic features is usually based on multi-temporal surfaces analysis, where an interpolation process is required. DSMs were therefore generated from UAV and TLS points clouds and vertical absolute accuracies assessed by comparison with a Global Navigation Satellite System (GNSS) survey. The vertical comparison of UAV and TLS DSMs with respect to GNSS measurements pointed out an average distance at cm-level (RMS = 0.011 m). The successive point by point direct comparison between UAV and TLS elevations show a very small average distance, \n0.015 m, with RMS = 0.220 m. Larger values are encountered in areas where sudden changes in topography are present. The UAV-based approach was demonstrated to be a straightforward one and accuracy of the vertical dataset was compa\n
\n\n\n\n \n\n \n \n \n \n \n \n Dense image matching: Comparisons and analyses.\n \n \n \n \n\n\n \n Remondino, F.; Spera, M., G.; Nocerino, E.; Menna, F.; Nex, F.; and Gonizzi-Barsanti, S.\n\n\n \n\n\n\n 2013 Digital Heritage International Congress (DigitalHeritage),47-54. 10 2013.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Dense image matching: Comparisons and analyses},\n type = {article},\n year = {2013},\n keywords = {3 d,c omparison,image m atching,photogrammetry,sara gonizzi-barsanti},\n pages = {47-54},\n websites = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6743712},\n month = {10},\n publisher = {Ieee},\n id = {a222a4fa-2940-35ed-9b40-b0d4050483d8},\n created = {2018-07-21T16:18:02.647Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.647Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Remondino2013},\n private_publication = {false},\n bibtype = {article},\n author = {Remondino, Fabio and Spera, Maria Grazia and Nocerino, Erica and Menna, Fabio and Nex, Francesco and Gonizzi-Barsanti, Sara},\n doi = {10.1109/DigitalHeritage.2013.6743712},\n journal = {2013 Digital Heritage International Congress (DigitalHeritage)}\n}\n\n \n\n \n \n \n \n \n \n Geomorphological mapping with a small unmanned aircraft system (sUAS): Feature detection and accuracy assessment of a photogrammetrically-derived digital terrain model.\n \n \n \n \n\n\n \n Hugenholtz, C., H.; Whitehead, K.; Brown, O., W.; Barchyn, T., E.; Moorman, B., J.; LeClair, A.; Riddell, K.; and Hamilton, T.\n\n\n \n\n\n\n Geomorphology, 194(C): 16-24. 7 2013.\n \n\n\n\n
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\n\n\n@article{\n title = {Geomorphological mapping with a small unmanned aircraft system (sUAS): Feature detection and accuracy assessment of a photogrammetrically-derived digital terrain model},\n type = {article},\n year = {2013},\n keywords = {Digital terrain model accuracy,High-resolution geomorphic mapping,LiDAR,Small unmanned aircraft system (sUAS),Topographic change detection,digital terrain model accuracy,small unmanned aircraft system,suas},\n pages = {16-24},\n volume = {194},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0169555X13001736,http://dx.doi.org/10.1016/j.geomorph.2013.03.023,papers2://publication/doi/10.1016/j.geomorph.2013.03.023},\n month = {7},\n publisher = {Elsevier B.V.},\n day = {15},\n id = {bffbdb94-c03b-32ad-807d-c58928186f9e},\n created = {2018-07-21T16:18:02.786Z},\n accessed = {2014-07-10},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.786Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Hugenholtz2013},\n source_type = {JOUR},\n private_publication = {false},\n abstract = {Geomorphology, 194 (2013) 16-24. doi:10.1016/j.geomorph.2013.03.023},\n bibtype = {article},\n author = {Hugenholtz, Chris H. and Whitehead, Ken and Brown, Owen W. and Barchyn, Thomas E. and Moorman, Brian J. and LeClair, Adam and Riddell, Kevin and Hamilton, Tayler},\n doi = {10.1016/j.geomorph.2013.03.023},\n journal = {Geomorphology},\n number = {C}\n}\n\n Geomorphology, 194 (2013) 16-24. doi:10.1016/j.geomorph.2013.03.023\n
\n\n\n\n \n\n \n \n \n \n \n \n An Assessment of Errors Using Unconventional Photogrammetric Measurement Technology г with UAV Photographic Images as an Example.\n \n \n \n \n\n\n \n Wu, C.; Hsiao, C.; and Chen, C.\n\n\n \n\n\n\n Journal of Applied Science and Engineering, 16(2): 105-116. 2013.\n \n\n\n\n
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\n\n\n\n@article{\n title = {An Assessment of Errors Using Unconventional Photogrammetric Measurement Technology г with UAV Photographic Images as an Example},\n type = {article},\n year = {2013},\n keywords = {accuracy,computer vision,uav,unmanned aerial vehicles,vbs-rtk},\n pages = {105-116},\n volume = {16},\n websites = {http://www2.tku.edu.tw/~tkjse/16-2/01-CE10104.pdf},\n id = {b1724867-936f-3970-8c34-2154c9f4f559},\n created = {2018-07-21T16:18:02.860Z},\n accessed = {2014-09-07},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.860Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Wu2013a},\n private_publication = {false},\n bibtype = {article},\n author = {Wu, CT and Hsiao, CY and Chen, CS},\n doi = {10.6180/jase.2013.16.2.01},\n journal = {Journal of Applied Science and Engineering},\n number = {2}\n}\n\n \n\n \n \n \n \n \n \n The potential of Unmanned Aerial Vehicle (UAV) for civilian and mapping application.\n \n \n \n \n\n\n \n Samad, A., M.; Kamarulzaman, N.; Hamdani, M., A.; Mastor, T., A.; and Hashim, K., A.\n\n\n \n\n\n\n 2013 IEEE 3rd International Conference on System Engineering and Technology,313-318. 8 2013.\n \n\n\n\n
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\n\n\n\n@article{\n title = {The potential of Unmanned Aerial Vehicle (UAV) for civilian and mapping application},\n type = {article},\n year = {2013},\n keywords = {digital camera,digital map,gis,photogrammetry},\n pages = {313-318},\n websites = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6650191},\n month = {8},\n publisher = {Ieee},\n id = {e244ef87-c4e3-3761-8918-8f7fd8fdb199},\n created = {2018-07-21T16:18:02.995Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.995Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Samad2013},\n private_publication = {false},\n bibtype = {article},\n author = {Samad, Abd. Manan and Kamarulzaman, Nazrin and Hamdani, Muhammad Asyraf and Mastor, Thuaibatul Aslamiah and Hashim, Khairil Afendy},\n doi = {10.1109/ICSEngT.2013.6650191},\n journal = {2013 IEEE 3rd International Conference on System Engineering and Technology}\n}\n\n \n\n \n \n \n \n \n \n Visualizing and Quantifying Vineyard Canopy LAI Using an Unmanned Aerial Vehicle (UAV) Collected High Density Structure from Motion Point Cloud.\n \n \n \n \n\n\n \n Mathews, A.; and Jensen, J.\n\n\n \n\n\n\n Remote Sensing, 5(5): 2164-2183. 5 2013.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Visualizing and Quantifying Vineyard Canopy LAI Using an Unmanned Aerial Vehicle (UAV) Collected High Density Structure from Motion Point Cloud},\n type = {article},\n year = {2013},\n keywords = {LAI,SfM,UAV,bundle adjustment,lai,point cloud,sfm,structure from motion,vegetation,vineyard},\n pages = {2164-2183},\n volume = {5},\n websites = {http://www.mdpi.com/2072-4292/5/5/2164/},\n month = {5},\n day = {7},\n id = {1a3dc0c4-609a-31c6-a12b-2e610381eac8},\n created = {2018-07-21T16:18:03.276Z},\n accessed = {2014-07-21},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:03.276Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Mathews2013},\n private_publication = {false},\n bibtype = {article},\n author = {Mathews, Adam and Jensen, Jennifer},\n doi = {10.3390/rs5052164},\n journal = {Remote Sensing},\n number = {5}\n}\n\n \n\n \n \n \n \n \n \n Using UAV and VBS-RTK for Rapid Reconstruction of En-vironmental 3D Elevation Data of the Typhoon Morakot Disaster Area and Disaster Scale Assessment.\n \n \n \n \n\n\n \n Wu, C.; Hsiao, C.; and Hsieh, P.\n\n\n \n\n\n\n Journal of Chinese Soil and Water …, 44(1): 23-33. 2013.\n \n\n\n\n
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\n\n\n@article{\n title = {Using UAV and VBS-RTK for Rapid Reconstruction of En-vironmental 3D Elevation Data of the Typhoon Morakot Disaster Area and Disaster Scale Assessment},\n type = {article},\n year = {2013},\n keywords = {3d reconstruction,uav,unmanned aerial vehicles,vbs-rtk},\n pages = {23-33},\n volume = {44},\n websites = {http://www.cswcs.org.tw/AlldataPos/JournalPos/第44卷/第1期/44(1)023-033_03_20620 1 Using UAV and VBS-RTK for Rapid Reconstruction(更正檔).pdf},\n id = {7a0182e2-6320-35b6-b1b3-d37e5e9a0c3e},\n created = {2018-07-21T16:18:04.139Z},\n accessed = {2014-09-07},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.139Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Wu2013},\n private_publication = {false},\n abstract = {In recent years, typhoons and heavy rains in Taiwan are often accompanied by sediment disasters such as landslides and debris flows. If disaster area information can be obtained in the shortest possible period of time for rapid assessment of sediment transport and disaster scale, it can provide quantitative reference information for follow-up disaster relief and decision-making. Focusing on the Leye collapse in the Typhoon Morakot disaster area and its surroundings as the research area, this study employed UAV, which defies ground photography angle limits and performs low-altitude photography of the disaster-hit area. Next, by using unconventional photogrammetry technology, a field of computer vision technology, combined with VBS-RTK technology, which has become mature in recent years, this study aims to accomplish real time positioning of the reference control points and rapidly reconstruct the environmental 3D elevation data of the disaster area. The proposed approach can enable a rapid quantitative assessment of major sources of sediment, potential unstable areas, and the scale of the sediment disaster. Topographic data obtained using the proposed method can be applied to rapidly calculate landslide depth, and landslide volume after comparison with pre-disaster DTM data.},\n bibtype = {article},\n author = {Wu, Ct and Hsiao, CY and Hsieh, Ps},\n journal = {Journal of Chinese Soil and Water …},\n number = {1}\n}\n\n In recent years, typhoons and heavy rains in Taiwan are often accompanied by sediment disasters such as landslides and debris flows. If disaster area information can be obtained in the shortest possible period of time for rapid assessment of sediment transport and disaster scale, it can provide quantitative reference information for follow-up disaster relief and decision-making. Focusing on the Leye collapse in the Typhoon Morakot disaster area and its surroundings as the research area, this study employed UAV, which defies ground photography angle limits and performs low-altitude photography of the disaster-hit area. Next, by using unconventional photogrammetry technology, a field of computer vision technology, combined with VBS-RTK technology, which has become mature in recent years, this study aims to accomplish real time positioning of the reference control points and rapidly reconstruct the environmental 3D elevation data of the disaster area. The proposed approach can enable a rapid quantitative assessment of major sources of sediment, potential unstable areas, and the scale of the sediment disaster. Topographic data obtained using the proposed method can be applied to rapidly calculate landslide depth, and landslide volume after comparison with pre-disaster DTM data.\n
\n\n\n\n \n\n \n \n \n \n \n \n A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery.\n \n \n \n \n\n\n \n Lisein, J.; Pierrot-Deseilligny, M.; Bonnet, S.; and Lejeune, P.\n\n\n \n\n\n\n Forests, 4(4): 922-944. 11 2013.\n \n\n\n\n
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\n\n\n\n@article{\n title = {A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery},\n type = {article},\n year = {2013},\n pages = {922-944},\n volume = {4},\n websites = {http://www.mdpi.com/1999-4907/4/4/922/},\n month = {11},\n day = {6},\n id = {0f26ecd6-4d7f-3c10-9047-7db033f84e0c},\n created = {2018-07-21T16:18:04.151Z},\n accessed = {2014-08-02},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.151Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Lisein2013},\n private_publication = {false},\n bibtype = {article},\n author = {Lisein, Jonathan and Pierrot-Deseilligny, Marc and Bonnet, Stéphanie and Lejeune, Philippe},\n doi = {10.3390/f4040922},\n journal = {Forests},\n number = {4}\n}\n\n \n\n \n \n \n \n \n \n Very high resolution crop surface models (CSMs) from UAV-based stereo images for rice growth monitoring In Northeast China.\n \n \n \n \n\n\n \n Bendig, J.; Willkomm, M.; and Tillya, N.\n\n\n \n\n\n\n … Archives of the …, XL(September): 4-6. 2013.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Very high resolution crop surface models (CSMs) from UAV-based stereo images for rice growth monitoring In Northeast China},\n type = {article},\n year = {2013},\n keywords = {agricu lture,biomass,dem,multi-temporal data,plant height,rice,uav},\n pages = {4-6},\n volume = {XL},\n websites = {http://www.jbcreativgroup.com/pdf/conference-paper-isprs-archives-25587.pdf},\n id = {19608725-58e1-3999-bdde-9883c598df41},\n created = {2018-07-21T16:18:04.789Z},\n accessed = {2014-09-07},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.789Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Bendig2013},\n private_publication = {false},\n bibtype = {article},\n author = {Bendig, J and Willkomm, M and Tillya, N},\n journal = {… Archives of the …},\n number = {September}\n}\n\n \n\n \n \n \n \n \n \n Lightweight unmanned aerial vehicles will revolutionize spatial ecology.\n \n \n \n \n\n\n \n Anderson, K.; and Gaston, K., J.\n\n\n \n\n\n\n Frontiers in Ecology and the Environment, 11(3): 138-146. 4 2013.\n \n\n\n\n
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\n\n\n@article{\n title = {Lightweight unmanned aerial vehicles will revolutionize spatial ecology},\n type = {article},\n year = {2013},\n pages = {138-146},\n volume = {11},\n websites = {http://www.esajournals.org/doi/abs/10.1890/120150},\n month = {4},\n id = {3673c73d-01e3-3af1-ad11-38de0ce06619},\n created = {2018-07-21T16:18:05.160Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:05.160Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Anderson2013},\n private_publication = {false},\n abstract = {Ecologists require spatially explicit data to relate structure to function. To date, heavy reliance has been placed on obtaining such data from remote-sensing instruments mounted on spacecraft or manned aircraft, although the spatial and temporal resolutions of the data are often not suited to local-scale ecological investigations. Recent technological innovations have led to an upsurge in the availability of unmanned aerial vehicles (UAVs) ? aircraft remotely operated from the ground ? and there are now many lightweight UAVs on offer at reasonable costs. Flying low and slow, UAVs offer ecologists new opportunities for scale-appropriate measurements of ecological phenomena. Equipped with capable sensors, UAVs can deliver fine spatial resolution data at temporal resolutions defined by the end user. Recent innovations in UAV platform design have been accompanied by improvements in navigation and the miniaturization of measurement technologies, allowing the study of individual organisms and their spatiotemporal dynamics at close range.},\n bibtype = {article},\n author = {Anderson, Karen and Gaston, Kevin J.},\n doi = {10.1890/120150},\n journal = {Frontiers in Ecology and the Environment},\n number = {3}\n}\n\n Ecologists require spatially explicit data to relate structure to function. To date, heavy reliance has been placed on obtaining such data from remote-sensing instruments mounted on spacecraft or manned aircraft, although the spatial and temporal resolutions of the data are often not suited to local-scale ecological investigations. Recent technological innovations have led to an upsurge in the availability of unmanned aerial vehicles (UAVs) ? aircraft remotely operated from the ground ? and there are now many lightweight UAVs on offer at reasonable costs. Flying low and slow, UAVs offer ecologists new opportunities for scale-appropriate measurements of ecological phenomena. Equipped with capable sensors, UAVs can deliver fine spatial resolution data at temporal resolutions defined by the end user. Recent innovations in UAV platform design have been accompanied by improvements in navigation and the miniaturization of measurement technologies, allowing the study of individual organisms and their spatiotemporal dynamics at close range.\n
\n\n\n\n \n\n \n \n \n \n \n \n Topographic structure from motion: a new development in photogrammetric measurement.\n \n \n \n \n\n\n \n Fonstad, M., A.; Dietrich, J., T.; Courville, B., C.; Jensen, J., L.; and Carbonneau, P., E.\n\n\n \n\n\n\n Earth Surface Processes and Landforms, 38(4): 421-430. 2013.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Topographic structure from motion: a new development in photogrammetric measurement},\n type = {article},\n year = {2013},\n keywords = {digital elevation models,lidar,structure from motion,topographic modeling},\n pages = {421-430},\n volume = {38},\n websites = {http://doi.wiley.com/10.1002/esp.3366},\n id = {9c85fec2-0791-35da-b9fe-779ee3f3be0e},\n created = {2018-07-21T16:18:05.421Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:05.421Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Fonstad2013},\n private_publication = {false},\n bibtype = {article},\n author = {Fonstad, Mark A. and Dietrich, James T. and Courville, Brittany C. and Jensen, Jennifer L. and Carbonneau, Patrice E.},\n doi = {10.1002/esp.3366},\n journal = {Earth Surface Processes and Landforms},\n number = {4}\n}\n\n \n\n \n \n \n \n \n Kite Aerial Photography for Low-Cost, Ultra-high Spatial Resolution Multi-Spectral Mapping of Intertidal Landscapes.\n \n \n \n\n\n \n Bryson, M.; Johnson-Roberson, M.; Murphy, R., J.; and Bongiorno, D.\n\n\n \n\n\n\n PLoS ONE, 8(9). 2013.\n \n\n\n\n
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\n\n\n@article{\n title = {Kite Aerial Photography for Low-Cost, Ultra-high Spatial Resolution Multi-Spectral Mapping of Intertidal Landscapes},\n type = {article},\n year = {2013},\n volume = {8},\n id = {002c4f0b-ee66-3f41-8d06-94f1525e1e5f},\n created = {2018-07-23T13:44:53.202Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.705Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Bryson2013},\n private_publication = {false},\n abstract = {Intertidal ecosystems have primarily been studied using field-based sampling; remote sensing offers the ability to collect data over large areas in a snapshot of time that could complement field-based sampling methods by extrapolating them into the wider spatial and temporal context. Conventional remote sensing tools (such as satellite and aircraft imaging) provide data at limited spatial and temporal resolutions and relatively high costs for small-scale environmental science and ecologically-focussed studies. In this paper, we describe a low-cost, kite-based imaging system and photogrammetric/mapping procedure that was developed for constructing high-resolution, three-dimensional, multi-spectral terrain models of intertidal rocky shores. The processing procedure uses automatic image feature detection and matching, structure-from-motion and photo-textured terrain surface reconstruction algorithms that require minimal human input and only a small number of ground control points and allow the use of cheap, consumer-grade digital cameras. The resulting maps combine imagery at visible and near-infrared wavelengths and topographic information at sub-centimeter resolutions over an intertidal shoreline 200 m long, thus enabling spatial properties of the intertidal environment to be determined across a hierarchy of spatial scales. Results of the system are presented for an intertidal rocky shore at Jervis Bay, New South Wales, Australia. Potential uses of this technique include mapping of plant (micro- and macro-algae) and animal (e.g. gastropods) assemblages at multiple spatial and temporal scales.},\n bibtype = {article},\n author = {Bryson, Mitch and Johnson-Roberson, Matthew and Murphy, Richard J. and Bongiorno, Daniel},\n doi = {10.1371/journal.pone.0073550},\n journal = {PLoS ONE},\n number = {9}\n}\n\n Intertidal ecosystems have primarily been studied using field-based sampling; remote sensing offers the ability to collect data over large areas in a snapshot of time that could complement field-based sampling methods by extrapolating them into the wider spatial and temporal context. Conventional remote sensing tools (such as satellite and aircraft imaging) provide data at limited spatial and temporal resolutions and relatively high costs for small-scale environmental science and ecologically-focussed studies. In this paper, we describe a low-cost, kite-based imaging system and photogrammetric/mapping procedure that was developed for constructing high-resolution, three-dimensional, multi-spectral terrain models of intertidal rocky shores. The processing procedure uses automatic image feature detection and matching, structure-from-motion and photo-textured terrain surface reconstruction algorithms that require minimal human input and only a small number of ground control points and allow the use of cheap, consumer-grade digital cameras. The resulting maps combine imagery at visible and near-infrared wavelengths and topographic information at sub-centimeter resolutions over an intertidal shoreline 200 m long, thus enabling spatial properties of the intertidal environment to be determined across a hierarchy of spatial scales. Results of the system are presented for an intertidal rocky shore at Jervis Bay, New South Wales, Australia. Potential uses of this technique include mapping of plant (micro- and macro-algae) and animal (e.g. gastropods) assemblages at multiple spatial and temporal scales.\n
\n\n\n\n \n\n \n \n \n \n \n \n Multirotor Unmanned Aerial Vehicle Autonomous Operation in an Industrial Environment using On-‐board Image Processing.\n \n \n \n \n\n\n \n Venables, C.\n\n\n \n\n\n\n , (November). 2013.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Multirotor Unmanned Aerial Vehicle Autonomous Operation in an Industrial Environment using On-‐board Image Processing},\n type = {article},\n year = {2013},\n websites = {http://robotics.ee.uwa.edu.au/theses/2013-Multirotor-Venables.pdf},\n id = {844f0555-501a-3062-9524-0ef5c1c46dce},\n created = {2018-07-23T13:44:53.214Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.579Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Venables2013},\n private_publication = {false},\n bibtype = {article},\n author = {Venables, Christopher},\n number = {November}\n}\n\n \n\n \n \n \n \n \n (read)(impo)(Diogo recom)Dense image matching : comparisons and analyses Dense image matching : comparisons and analyses.\n \n \n \n\n\n \n Nocerino, E.; Milano, P.; Remondino, F.; Spera, M., G.; Menna, F.; Nex, F.; and Gonizzi-barsanti, S.\n\n\n \n\n\n\n ,47-54. 2013.\n \n\n\n\n
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\n\n\n\n@article{\n title = {(read)(impo)(Diogo recom)Dense image matching : comparisons and analyses Dense image matching : comparisons and analyses},\n type = {article},\n year = {2013},\n keywords = {3 d,c omparison,image m atching,photogrammetry,sara gonizzi-barsanti},\n pages = {47-54},\n id = {df64bb5b-882f-3b08-9fd7-03608fced0a1},\n created = {2018-07-23T13:44:53.351Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.680Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Nocerino2013a},\n private_publication = {false},\n bibtype = {article},\n author = {Nocerino, Erica and Milano, Politecnico and Remondino, Fabio and Spera, Maria Grazia and Menna, Fabio and Nex, Francesco and Gonizzi-barsanti, Sara},\n doi = {10.1109/DigitalHeritage.2013.6743712}\n}\n\n \n\n \n \n \n \n \n Sea level rise and its coastal impacts.\n \n \n \n\n\n \n Cazenave, A.; and Cozannet, G., L.\n\n\n \n\n\n\n Earth’s Future, 2: 15-34. 2013.\n \n\n\n\n
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\n\n\n@article{\n title = {Sea level rise and its coastal impacts},\n type = {article},\n year = {2013},\n pages = {15-34},\n volume = {2},\n id = {70ba4c1e-a301-327b-9463-9b8c23109587},\n created = {2018-07-23T13:44:53.574Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.452Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Cazenave2013a},\n private_publication = {false},\n abstract = {Global warming in response to accumulation of human-induced greenhouse gases inside the atmosphere has already caused several visible consequences, among them increase of the Earth’s mean temperature and ocean heat content, melting of glaciers, and loss of ice from the Greenland and Antarctica ice sheets. Ocean warming and land ice melt in turn are causing sea level to rise. Sea level rise and its impacts on coastal zones have become a question of growing interest in the scientific community, as well as in themedia and public. In this review paper, we summarize the most up-to-date knowledge about sea level rise and its causes, highlighting the regional variability that superimposes the globalmean rise.We also present sea level projections for the 21st century under different warming scenarios.We next address the issue of the sea level rise impacts.We question whether there is already observational evidence of coastal impacts of sea level rise and highlight the fact that results differ fromone location to another. This suggests that the response of coastal systems to sea level rise is highly dependent on local natural and human settings.We finally show that in spite of remaining uncertainties about future sea levels and related impacts, it becomes possible to provide preliminary assessment of regional impacts of sea level rise.},\n bibtype = {article},\n author = {Cazenave, Anny and Cozannet, Gonéri Le},\n doi = {10.1002/2013EF000188.Received},\n journal = {Earth’s Future}\n}\n\n Global warming in response to accumulation of human-induced greenhouse gases inside the atmosphere has already caused several visible consequences, among them increase of the Earth’s mean temperature and ocean heat content, melting of glaciers, and loss of ice from the Greenland and Antarctica ice sheets. Ocean warming and land ice melt in turn are causing sea level to rise. Sea level rise and its impacts on coastal zones have become a question of growing interest in the scientific community, as well as in themedia and public. In this review paper, we summarize the most up-to-date knowledge about sea level rise and its causes, highlighting the regional variability that superimposes the globalmean rise.We also present sea level projections for the 21st century under different warming scenarios.We next address the issue of the sea level rise impacts.We question whether there is already observational evidence of coastal impacts of sea level rise and highlight the fact that results differ fromone location to another. This suggests that the response of coastal systems to sea level rise is highly dependent on local natural and human settings.We finally show that in spite of remaining uncertainties about future sea levels and related impacts, it becomes possible to provide preliminary assessment of regional impacts of sea level rise.\n
\n\n\n\n \n\n \n \n \n \n \n Roadmap for the integration of civil Remotely - Piloted Aircraft Systems into the European Aviation System.\n \n \n \n\n\n \n European RPAS Steering Group\n\n\n \n\n\n\n , (June): 1-54. 2013.\n \n\n\n\n
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\n\n\n@article{\n title = {Roadmap for the integration of civil Remotely - Piloted Aircraft Systems into the European Aviation System},\n type = {article},\n year = {2013},\n pages = {1-54},\n id = {fa1ac4f2-ef0e-3813-8012-a6d59c2c70c9},\n created = {2018-07-23T13:44:53.612Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.570Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {EuropeanRPASSteeringGroup2013},\n private_publication = {false},\n abstract = {Annex 1},\n bibtype = {article},\n author = {European RPAS Steering Group, undefined},\n number = {June}\n}\n\n Annex 1\n
\n\n\n\n \n\n \n \n \n \n \n News in focus.\n \n \n \n\n\n \n Gewin, V.\n\n\n \n\n\n\n Nature, 495(7438): 13-14. 2013.\n \n\n\n\n
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\n\n\n@article{\n title = {News in focus},\n type = {article},\n year = {2013},\n pages = {13-14},\n volume = {495},\n id = {052e7ffe-e06c-3e11-84df-7292235f3b92},\n created = {2018-07-23T13:44:53.706Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.695Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Gewin2013},\n private_publication = {false},\n abstract = {Biologists track species on flotsam from Japan to US shores.},\n bibtype = {article},\n author = {Gewin, Virginia},\n doi = {10.1038/509015a},\n journal = {Nature},\n number = {7438}\n}\n\n Biologists track species on flotsam from Japan to US shores.\n
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\n \n \n\n \n \n \n \n \n \n An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds.\n \n \n \n \n\n\n \n Turner, D.; Lucieer, A.; and Watson, C.\n\n\n \n\n\n\n Remote Sensing, 4(12): 1392-1410. 5 2012.\n \n\n\n\n
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\n\n\n@article{\n title = {An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds},\n type = {article},\n year = {2012},\n keywords = {Digital Terrain Model (DTM),Structure from Motion (SfM),UAV,digital terrain model,dtm,georeferencing,mosaicking,point cloud,rectify,sfm,structure from motion,uav},\n pages = {1392-1410},\n volume = {4},\n websites = {http://www.mdpi.com/2072-4292/4/5/1392/},\n month = {5},\n day = {14},\n id = {f1edbc2e-c3dc-33c5-b100-b9953c3cba3c},\n created = {2018-07-21T13:04:00.359Z},\n accessed = {2014-07-11},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.804Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Turner2012},\n private_publication = {false},\n abstract = {Unmanned Aerial Vehicles (UAVs) are an exciting new remote sensing tool capable of acquiring high resolution spatial data. Remote sensing with UAVs has the potential to provide imagery at an unprecedented spatial and temporal resolution. The small footprint of UAV imagery, however, makes it necessary to develop automated techniques to geometrically rectify and mosaic the imagery such that larger areas can be monitored. In this paper, we present a technique for geometric correction and mosaicking of UAV photography using feature matching and Structure from Motion (SfM) photogrammetric techniques. Images are processed to create three dimensional point clouds, initially in an arbitrary model space. The point clouds are transformed into a real-world coordinate system using either a direct georeferencing technique that uses estimated camera positions or via a Ground Control Point (GCP) technique that uses automatically identified GCPs within the point cloud. The point cloud is then used to generate a Digital Terrain Model (DTM) required for rectification of the images. Subsequent georeferenced images are then joined together to form a mosaic of the study area. The absolute spatial accuracy of the direct technique was found to be 65–120 cm whilst the GCP technique achieves an accuracy of approximately 10–15 cm.},\n bibtype = {article},\n author = {Turner, Darren and Lucieer, Arko and Watson, Christopher},\n doi = {10.3390/rs4051392},\n journal = {Remote Sensing},\n number = {12}\n}\n\n Unmanned Aerial Vehicles (UAVs) are an exciting new remote sensing tool capable of acquiring high resolution spatial data. Remote sensing with UAVs has the potential to provide imagery at an unprecedented spatial and temporal resolution. The small footprint of UAV imagery, however, makes it necessary to develop automated techniques to geometrically rectify and mosaic the imagery such that larger areas can be monitored. In this paper, we present a technique for geometric correction and mosaicking of UAV photography using feature matching and Structure from Motion (SfM) photogrammetric techniques. Images are processed to create three dimensional point clouds, initially in an arbitrary model space. The point clouds are transformed into a real-world coordinate system using either a direct georeferencing technique that uses estimated camera positions or via a Ground Control Point (GCP) technique that uses automatically identified GCPs within the point cloud. The point cloud is then used to generate a Digital Terrain Model (DTM) required for rectification of the images. Subsequent georeferenced images are then joined together to form a mosaic of the study area. The absolute spatial accuracy of the direct technique was found to be 65–120 cm whilst the GCP technique achieves an accuracy of approximately 10–15 cm.\n
\n\n\n\n \n\n \n \n \n \n \n \n ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications.\n \n \n \n \n\n\n \n Westoby, M.; Brasington, J.; Glasser, N.; Hambrey, M.; and Reynolds, J.\n\n\n \n\n\n\n Geomorphology, 179: 300-314. 12 2012.\n \n\n\n\n
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\n\n\n\n@article{\n title = {‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications},\n type = {article},\n year = {2012},\n keywords = {Close‐range photogrammetry,Digital elevation model (DEM),SFMToolkit,Structure-from-Motion (SfM),Terrestrial laser scanning (TLS),close,dem,digital elevation model,range photogrammetry,sfm,structure-from-motion},\n pages = {300-314},\n volume = {179},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0169555X12004217},\n month = {12},\n publisher = {Elsevier B.V.},\n id = {d03a5479-138f-3356-b63c-2d288465859f},\n created = {2018-07-21T13:04:02.255Z},\n accessed = {2014-07-09},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.721Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Westoby2012},\n private_publication = {false},\n bibtype = {article},\n author = {Westoby, M.J. and Brasington, J. and Glasser, N.F. and Hambrey, M.J. and Reynolds, J.M.},\n doi = {10.1016/j.geomorph.2012.08.021},\n journal = {Geomorphology}\n}\n\n \n\n \n \n \n \n \n \n Digital Terrain Model extraction using digital aerial imagery of Unmanned Aerial Vehicle.\n \n \n \n \n\n\n \n Udin, W., S.; Hassan, A., F.; Ahmad, A.; and Tahar, K., N.\n\n\n \n\n\n\n 2012 IEEE 8th International Colloquium on Signal Processing and its Applications,272-275. 3 2012.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n\n@article{\n title = {Digital Terrain Model extraction using digital aerial imagery of Unmanned Aerial Vehicle},\n type = {article},\n year = {2012},\n keywords = {-unmanned aerial vehicle,7,a digital terrain model,accuracy,and many more,continuous representation of a,digital aerial imagery,digital camera,digital terrain model,dtm,ground surface landform,in,is a},\n pages = {272-275},\n websites = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6194732},\n month = {3},\n publisher = {Ieee},\n id = {2187eb59-c000-3e0c-9456-fb9bf0039946},\n created = {2018-07-21T13:04:02.418Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.708Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Udin2012a},\n private_publication = {false},\n bibtype = {article},\n author = {Udin, Wani Sofia and Hassan, Ahmad Farhan and Ahmad, Anuar and Tahar, Khairul Nizam},\n doi = {10.1109/CSPA.2012.6194732},\n journal = {2012 IEEE 8th International Colloquium on Signal Processing and its Applications}\n}\n\n \n\n \n \n \n \n \n \n UAV-based remote sensing of the Super-Sauze landslide: Evaluation and results.\n \n \n \n \n\n\n \n Niethammer, U.; James, M.; Rothmund, S.; Travelletti, J.; and Joswig, M.\n\n\n \n\n\n\n Engineering Geology, 128(C): 2-11. 3 2012.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {UAV-based remote sensing of the Super-Sauze landslide: Evaluation and results},\n type = {article},\n year = {2012},\n keywords = {DTM,Fissures,Landslide,Remote sensing,TLS,UAV},\n pages = {2-11},\n volume = {128},\n websites = {http://www.sciencedirect.com/science/article/pii/S0013795211000755},\n month = {3},\n publisher = {Elsevier B.V.},\n day = {9},\n id = {7729784c-1480-37a0-89aa-9fae7741fcb3},\n created = {2018-07-21T13:59:02.948Z},\n accessed = {2014-07-12},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.703Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Niethammer2012a},\n source_type = {JOUR},\n private_publication = {false},\n abstract = {Unmanned aerial vehicles (UAVs) equipped with digital compact cameras can be used to map landslides quickly and at a high ground resolution. Images taken by a radio-controlled mini quad-rotor UAV of the Super-Sauze, France landslide have been used to produce a high-resolution ortho-mosaic of the entire landslide and digital terrain models (DTMs) of several regions. The UAV capability for imaging fissures and displacements on the landslide surface has been evaluated, and the subsequent image processing approaches for suitably georectifying the data have been assessed. For Super-Sauze, horizontal displacements of 7 to 55m between a high-resolution airborne ortho-photo of May 2007 and a UAV-based ortho-mosaic of October 2008 have been measured. Fixed areas of persistent deformation have been identified, producing fissures of different distributions and orientations comparable to glacial crevasses, and relating directly to the bedrock topography. The UAV has demonstrated its capability for producing valuable landslide data but improvements are required to reduce data processing time for the efficient generation of ortho-mosaics based on photogrammetric DTMs, in order to minimise georeferencing errors.},\n bibtype = {article},\n author = {Niethammer, U. and James, M.R. and Rothmund, S. and Travelletti, J. and Joswig, M.},\n doi = {10.1016/j.enggeo.2011.03.012},\n journal = {Engineering Geology},\n number = {C}\n}\n\n Unmanned aerial vehicles (UAVs) equipped with digital compact cameras can be used to map landslides quickly and at a high ground resolution. Images taken by a radio-controlled mini quad-rotor UAV of the Super-Sauze, France landslide have been used to produce a high-resolution ortho-mosaic of the entire landslide and digital terrain models (DTMs) of several regions. The UAV capability for imaging fissures and displacements on the landslide surface has been evaluated, and the subsequent image processing approaches for suitably georectifying the data have been assessed. For Super-Sauze, horizontal displacements of 7 to 55m between a high-resolution airborne ortho-photo of May 2007 and a UAV-based ortho-mosaic of October 2008 have been measured. Fixed areas of persistent deformation have been identified, producing fissures of different distributions and orientations comparable to glacial crevasses, and relating directly to the bedrock topography. The UAV has demonstrated its capability for producing valuable landslide data but improvements are required to reduce data processing time for the efficient generation of ortho-mosaics based on photogrammetric DTMs, in order to minimise georeferencing errors.\n
\n\n\n\n \n\n \n \n \n \n \n \n Development of a UAV-LiDAR System with Application to Forest Inventory.\n \n \n \n \n\n\n \n Wallace, L.; Lucieer, A.; Watson, C.; and Turner, D.\n\n\n \n\n\n\n Remote Sensing, 4(12): 1519-1543. 5 2012.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Development of a UAV-LiDAR System with Application to Forest Inventory},\n type = {article},\n year = {2012},\n keywords = {Kalman Filter,LiDAR,MEMS IMU,Unmanned Aerial Vehicles,forestry,sensor integration},\n pages = {1519-1543},\n volume = {4},\n websites = {http://www.mdpi.com/2072-4292/4/6/1519/},\n month = {5},\n day = {25},\n id = {94228b34-0c0d-3605-8348-1a2d07354adb},\n created = {2018-07-21T13:59:03.031Z},\n accessed = {2014-08-19},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.634Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Wallace2012a},\n private_publication = {false},\n bibtype = {article},\n author = {Wallace, Luke and Lucieer, Arko and Watson, Christopher and Turner, Darren},\n doi = {10.3390/rs4061519},\n journal = {Remote Sensing},\n number = {12}\n}\n\n \n\n \n \n \n \n \n \n The potential use of rotor wing unmanned aerial vehicle for large scale stream mapping.\n \n \n \n \n\n\n \n Udin, W.; Ahmad, A.; and Wani, S.\n\n\n \n\n\n\n International Journal of Scientific & Engineering …, 3(12): 1-6. 2012.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {The potential use of rotor wing unmanned aerial vehicle for large scale stream mapping},\n type = {article},\n year = {2012},\n keywords = {- unmanned aerial vehicle,accuracy,digital camera,stream,unmanned aerial vehicle},\n pages = {1-6},\n volume = {3},\n websites = {http://eprints.utm.my/33608/%5Cnpapers2://publication/uuid/C93C4E07-5B5B-4C6B-9F2B-F828AA0620D0%5Cnhttp://www.ijser.org/researchpaper%5CThe-Potential-Use-of-Rotor-Wing-Unmanned-Aerial-Vehicle-for-Large-Scale-Stream-Mapping.pdf},\n day = {1},\n id = {260e24d2-7adb-3f20-9f51-f5ed94aaab32},\n created = {2018-07-21T13:59:03.206Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.633Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Udin2012c},\n source_type = {JOUR},\n private_publication = {false},\n abstract = {The potential use of rotor wing unmanned aerial vehicle for large scale stream mapping . Ahmad, Anuar (2012) The potential use of rotor wing unmanned aerial vehicle for large scale stream mapping . International Journal of Scientific & Engineering Research, 3 (12). pp. ... \\n},\n bibtype = {article},\n author = {Udin, Ws and Ahmad, Anuar and Wani, S},\n doi = {10.1.1.301.1031},\n journal = {International Journal of Scientific & Engineering …},\n number = {12}\n}\n\n The potential use of rotor wing unmanned aerial vehicle for large scale stream mapping . Ahmad, Anuar (2012) The potential use of rotor wing unmanned aerial vehicle for large scale stream mapping . International Journal of Scientific & Engineering Research, 3 (12). pp. ... \\n\n
\n\n\n\n \n\n \n \n \n \n \n \n Fine-scale bird monitoring from light unmanned aircraft systems.\n \n \n \n \n\n\n \n Sardà-Palomera, F.; Bota, G.; Viñolo, C.; Pallarés, O.; Sazatornil, V.; Brotons, L.; Gomáriz, S.; and Sardà, F.\n\n\n \n\n\n\n Ibis, 154(1): 177-183. 1 2012.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Fine-scale bird monitoring from light unmanned aircraft systems},\n type = {article},\n year = {2012},\n keywords = {Aerial survey,Bird colony,Investigator disturbance,Remote sensing,Waterbirds,aerial survey,aims to gather data,bird colony,component of conservation that,disturbance,investigator,monitoring is a central,on species,remote sensing,status through time and,waterbirds},\n pages = {177-183},\n volume = {154},\n websites = {http://doi.wiley.com/10.1111/j.1474-919X.2011.01177.x},\n month = {1},\n day = {7},\n id = {1826e955-e421-305c-a449-fe653153af55},\n created = {2018-07-21T16:17:57.550Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.642Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Sarda-Palomera2012},\n private_publication = {false},\n abstract = {Unmanned aircraft systems (UAS) are remote-controlled devices capable of collecting information from difficult-to-access places while minimizing disturbance. Although UAS are increasingly used in many research disciplines, their application to wildlife research remains to be explored in depth. Here, we report on the use of a small UAS to monitor temporal changes in breeding population size in a Black-headed Gull Chroicocephalus ridibundus colony. This method makes it possible to obtain georeferenced data on nest locations without causing colony disturbance, which would not otherwise be possible via direct ground observations. © 2011 The Authors. Ibis © 2011 British Ornithologists' Union.},\n bibtype = {article},\n author = {Sardà-Palomera, Francesc and Bota, Gerard and Viñolo, Carlos and Pallarés, Oriol and Sazatornil, Víctor and Brotons, Lluís and Gomáriz, Spartacus and Sardà, Francesc},\n doi = {10.1111/j.1474-919X.2011.01177.x},\n journal = {Ibis},\n number = {1}\n}\n\n Unmanned aircraft systems (UAS) are remote-controlled devices capable of collecting information from difficult-to-access places while minimizing disturbance. Although UAS are increasingly used in many research disciplines, their application to wildlife research remains to be explored in depth. Here, we report on the use of a small UAS to monitor temporal changes in breeding population size in a Black-headed Gull Chroicocephalus ridibundus colony. This method makes it possible to obtain georeferenced data on nest locations without causing colony disturbance, which would not otherwise be possible via direct ground observations. © 2011 The Authors. Ibis © 2011 British Ornithologists' Union.\n
\n\n\n\n \n\n \n \n \n \n \n \n Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco.\n \n \n \n \n\n\n \n d'Oleire-Oltmanns, S.; Marzolff, I.; Peter, K.; and Ries, J.\n\n\n \n\n\n\n Remote Sensing, 4(12): 3390-3416. 11 2012.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco},\n type = {article},\n year = {2012},\n keywords = {2012,4,monitoring,photogrammetry,remote sens,sfap,soil erosion,uav},\n pages = {3390-3416},\n volume = {4},\n websites = {http://www.mdpi.com/2072-4292/4/11/3390/},\n month = {11},\n day = {7},\n id = {cf29e005-8fa4-3fa5-93ba-7a4120d72a3a},\n created = {2018-07-21T16:17:59.452Z},\n accessed = {2014-07-13},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.877Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {DOleire-Oltmanns2012},\n private_publication = {false},\n bibtype = {article},\n author = {d'Oleire-Oltmanns, Sebastian and Marzolff, Irene and Peter, Klaus and Ries, Johannes},\n doi = {10.3390/rs4113390},\n journal = {Remote Sensing},\n number = {12}\n}\n\n \n\n \n \n \n \n \n \n Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use.\n \n \n \n \n\n\n \n Watts, A., C.; Ambrosia, V., G.; and Hinkley, E., a.\n\n\n \n\n\n\n Remote Sensing, 4(12): 1671-1692. 6 2012.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use},\n type = {article},\n year = {2012},\n keywords = {Aerial survey,Drone,UAV,Unmanned aircraft system (UAS)},\n pages = {1671-1692},\n volume = {4},\n websites = {http://www.mdpi.com/2072-4292/4/6/1671/},\n month = {6},\n day = {8},\n id = {6b0d13a7-bbc9-3030-a0e7-4af8da404915},\n created = {2018-07-21T16:17:59.695Z},\n accessed = {2014-07-24},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.872Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Watts2012},\n private_publication = {false},\n abstract = {Unmanned Aircraft Systems (UAS) have evolved rapidly over the past decade driven primarily by military uses, and have begun finding application among civilian users for earth sensing reconnaissance and scientific data collection purposes. Among UAS, promising characteristics are long flight duration, improved mission safety, flight repeatability due to improving autopilots, and reduced operational costs when compared to manned aircraft. The potential advantages of an unmanned platform, however, depend on many factors, such as aircraft, sensor types, mission objectives, and the current UAS regulatory requirements for operations of the particular platform. The regulations concerning UAS operation are still in the early development stages and currently present significant barriers to entry for scientific users. In this article we describe a variety of platforms, as well as sensor capabilities, and identify advantages of each as relevant to the demands of users in the scientific research sector. We also briefly discuss the current state of regulations affecting UAS operations, with the purpose of informing the scientific community about this developing technology whose potential for revolutionizing natural science observations is similar to those transformations that GIS and GPS brought to the community two decades ago.},\n bibtype = {article},\n author = {Watts, Adam C. and Ambrosia, Vincent G. and Hinkley, Everett a.},\n doi = {10.3390/rs4061671},\n journal = {Remote Sensing},\n number = {12}\n}\n\n Unmanned Aircraft Systems (UAS) have evolved rapidly over the past decade driven primarily by military uses, and have begun finding application among civilian users for earth sensing reconnaissance and scientific data collection purposes. Among UAS, promising characteristics are long flight duration, improved mission safety, flight repeatability due to improving autopilots, and reduced operational costs when compared to manned aircraft. The potential advantages of an unmanned platform, however, depend on many factors, such as aircraft, sensor types, mission objectives, and the current UAS regulatory requirements for operations of the particular platform. The regulations concerning UAS operation are still in the early development stages and currently present significant barriers to entry for scientific users. In this article we describe a variety of platforms, as well as sensor capabilities, and identify advantages of each as relevant to the demands of users in the scientific research sector. We also briefly discuss the current state of regulations affecting UAS operations, with the purpose of informing the scientific community about this developing technology whose potential for revolutionizing natural science observations is similar to those transformations that GIS and GPS brought to the community two decades ago.\n
\n\n\n\n \n\n \n \n \n \n \n \n Dawn of drone ecology: low-cost autonomous aerial vehicles for conservation.\n \n \n \n \n\n\n \n Koh, L., P., L.; and Wich, S., S., A.\n\n\n \n\n\n\n Tropical Conservation Science, 5(2): 121-132. 2012.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n\n@article{\n title = {Dawn of drone ecology: low-cost autonomous aerial vehicles for conservation},\n type = {article},\n year = {2012},\n keywords = {14 april 2012,20 april 2012,9 july 2012,accepted,logging,orangutan,poaching,published,received,spatial analysis,species extinction},\n pages = {121-132},\n volume = {5},\n websites = {http://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=19400829&AN=88949320&h=HAFVnliG7fg+bqmzUONhL/c7uuId5KXHOoSL0aXXdBHL91Abx/ru4uPbQ7JDr6pjrZ5ZA2oeZDMzfp5qDxqqgA==&crl=c,papers2://publication/uuid/ED2AE4DC-B3E},\n day = {1},\n id = {dd93c796-6720-33bb-b533-c30d71e0288e},\n created = {2018-07-21T16:17:59.828Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.861Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Koh2012},\n source_type = {JOUR},\n private_publication = {false},\n bibtype = {article},\n author = {Koh, Lian Pin LP and Wich, SA Serge A},\n journal = {Tropical Conservation Science},\n number = {2}\n}\n\n \n\n \n \n \n \n \n \n Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application.\n \n \n \n \n\n\n \n James, M., R.; and Robson, S.\n\n\n \n\n\n\n Journal of Geophysical Research, 117(F3): F03017. 8 2012.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n\n@article{\n title = {Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application},\n type = {article},\n year = {2012},\n keywords = {Bundler,DEM,coastal erosion,photogrammetry,structure from motion,surface model},\n pages = {F03017},\n volume = {117},\n websites = {http://doi.wiley.com/10.1029/2011JF002289},\n month = {8},\n day = {11},\n id = {ec58c372-62c3-3464-9b26-00d0e6ecd106},\n created = {2018-07-21T16:18:01.275Z},\n accessed = {2014-07-22},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.827Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {James2012a},\n private_publication = {false},\n bibtype = {article},\n author = {James, M. R. and Robson, S.},\n doi = {10.1029/2011JF002289},\n journal = {Journal of Geophysical Research},\n number = {F3}\n}\n\n \n\n \n \n \n \n \n \n Unmanned aircraft systems: Surveillance, ethics and privacy in civil applications.\n \n \n \n \n\n\n \n Finn, R., L.; and Wright, D.\n\n\n \n\n\n\n Computer Law & Security Review, 28(2): 184-194. 4 2012.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Unmanned aircraft systems: Surveillance, ethics and privacy in civil applications},\n type = {article},\n year = {2012},\n keywords = {unmanned aircraft systems},\n pages = {184-194},\n volume = {28},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0267364912000234},\n month = {4},\n publisher = {Elsevier Ltd},\n id = {9d89164a-9187-32a3-9533-080a69d0b490},\n created = {2018-07-21T16:18:01.805Z},\n accessed = {2014-07-15},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.810Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Finn2012},\n private_publication = {false},\n bibtype = {article},\n author = {Finn, Rachel L. and Wright, David},\n doi = {10.1016/j.clsr.2012.01.005},\n journal = {Computer Law & Security Review},\n number = {2}\n}\n\n \n\n \n \n \n \n \n \n An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds.\n \n \n \n \n\n\n \n Turner, D.; Lucieer, A.; and Watson, C.\n\n\n \n\n\n\n Remote Sensing, 4(12): 1392-1410. 5 2012.\n \n\n\n\n
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\n\n\n@article{\n title = {An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds},\n type = {article},\n year = {2012},\n keywords = {Digital Terrain Model (DTM),Structure from Motion (SfM),UAV,digital terrain model,dtm,georeferencing,mosaicking,point cloud,rectify,sfm,structure from motion,uav},\n pages = {1392-1410},\n volume = {4},\n websites = {http://www.mdpi.com/2072-4292/4/5/1392/},\n month = {5},\n day = {14},\n id = {02cd61c6-d2a7-3ee4-b3e6-e6f2ad7e1860},\n created = {2018-07-21T16:18:02.174Z},\n accessed = {2014-07-11},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.174Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Turner2012},\n private_publication = {false},\n abstract = {Unmanned Aerial Vehicles (UAVs) are an exciting new remote sensing tool capable of acquiring high resolution spatial data. Remote sensing with UAVs has the potential to provide imagery at an unprecedented spatial and temporal resolution. The small footprint of UAV imagery, however, makes it necessary to develop automated techniques to geometrically rectify and mosaic the imagery such that larger areas can be monitored. In this paper, we present a technique for geometric correction and mosaicking of UAV photography using feature matching and Structure from Motion (SfM) photogrammetric techniques. Images are processed to create three dimensional point clouds, initially in an arbitrary model space. The point clouds are transformed into a real-world coordinate system using either a direct georeferencing technique that uses estimated camera positions or via a Ground Control Point (GCP) technique that uses automatically identified GCPs within the point cloud. The point cloud is then used to generate a Digital Terrain Model (DTM) required for rectification of the images. Subsequent georeferenced images are then joined together to form a mosaic of the study area. The absolute spatial accuracy of the direct technique was found to be 65–120 cm whilst the GCP technique achieves an accuracy of approximately 10–15 cm.},\n bibtype = {article},\n author = {Turner, Darren and Lucieer, Arko and Watson, Christopher},\n doi = {10.3390/rs4051392},\n journal = {Remote Sensing},\n number = {12}\n}\n\n Unmanned Aerial Vehicles (UAVs) are an exciting new remote sensing tool capable of acquiring high resolution spatial data. Remote sensing with UAVs has the potential to provide imagery at an unprecedented spatial and temporal resolution. The small footprint of UAV imagery, however, makes it necessary to develop automated techniques to geometrically rectify and mosaic the imagery such that larger areas can be monitored. In this paper, we present a technique for geometric correction and mosaicking of UAV photography using feature matching and Structure from Motion (SfM) photogrammetric techniques. Images are processed to create three dimensional point clouds, initially in an arbitrary model space. The point clouds are transformed into a real-world coordinate system using either a direct georeferencing technique that uses estimated camera positions or via a Ground Control Point (GCP) technique that uses automatically identified GCPs within the point cloud. The point cloud is then used to generate a Digital Terrain Model (DTM) required for rectification of the images. Subsequent georeferenced images are then joined together to form a mosaic of the study area. The absolute spatial accuracy of the direct technique was found to be 65–120 cm whilst the GCP technique achieves an accuracy of approximately 10–15 cm.\n
\n\n\n\n \n\n \n \n \n \n \n \n Dawn of drone ecology: low-cost autonomous aerial vehicles for conservation.\n \n \n \n \n\n\n \n Koh, L., P., L.; and Wich, S., S., A.\n\n\n \n\n\n\n Tropical Conservation Science, 5(2): 121-132. 2012.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Dawn of drone ecology: low-cost autonomous aerial vehicles for conservation},\n type = {article},\n year = {2012},\n keywords = {14 april 2012,20 april 2012,9 july 2012,accepted,logging,orangutan,poaching,published,received,spatial analysis,species extinction},\n pages = {121-132},\n volume = {5},\n websites = {http://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=19400829&AN=88949320&h=HAFVnliG7fg+bqmzUONhL/c7uuId5KXHOoSL0aXXdBHL91Abx/ru4uPbQ7JDr6pjrZ5ZA2oeZDMzfp5qDxqqgA==&crl=c,papers2://publication/uuid/ED2AE4DC-B3E},\n day = {1},\n id = {d7218de3-65d3-3040-8f88-7c6bdb376c0c},\n created = {2018-07-21T16:18:02.509Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.509Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Koh2012},\n source_type = {JOUR},\n private_publication = {false},\n bibtype = {article},\n author = {Koh, Lian Pin LP and Wich, SA Serge A},\n journal = {Tropical Conservation Science},\n number = {2}\n}\n\n \n\n \n \n \n \n \n \n Digital Terrain Model extraction using digital aerial imagery of Unmanned Aerial Vehicle.\n \n \n \n \n\n\n \n Udin, W., S.; Hassan, A., F.; Ahmad, A.; and Tahar, K., N.\n\n\n \n\n\n\n 2012 IEEE 8th International Colloquium on Signal Processing and its Applications,272-275. 3 2012.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Digital Terrain Model extraction using digital aerial imagery of Unmanned Aerial Vehicle},\n type = {article},\n year = {2012},\n keywords = {-unmanned aerial vehicle,7,a digital terrain model,accuracy,and many more,continuous representation of a,digital aerial imagery,digital camera,digital terrain model,dtm,ground surface landform,in,is a},\n pages = {272-275},\n websites = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6194732},\n month = {3},\n publisher = {Ieee},\n id = {bd857d8f-d0a3-3ab9-bfc7-b1679fe7301c},\n created = {2018-07-21T16:18:03.232Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:03.232Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Udin2012a},\n private_publication = {false},\n bibtype = {article},\n author = {Udin, Wani Sofia and Hassan, Ahmad Farhan and Ahmad, Anuar and Tahar, Khairul Nizam},\n doi = {10.1109/CSPA.2012.6194732},\n journal = {2012 IEEE 8th International Colloquium on Signal Processing and its Applications}\n}\n\n \n\n \n \n \n \n \n \n The potential use of rotor wing unmanned aerial vehicle for large scale stream mapping.\n \n \n \n \n\n\n \n Udin, W.; Ahmad, A.; and Wani, S.\n\n\n \n\n\n\n International Journal of Scientific & Engineering …, 3(12): 1-6. 2012.\n \n\n\n\n
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\n\n\n@article{\n title = {The potential use of rotor wing unmanned aerial vehicle for large scale stream mapping},\n type = {article},\n year = {2012},\n keywords = {- unmanned aerial vehicle,accuracy,digital camera,stream,unmanned aerial vehicle},\n pages = {1-6},\n volume = {3},\n websites = {http://www.ijser.org/researchpaper%5CThe-Potential-Use-of-Rotor-Wing-Unmanned-Aerial-Vehicle-for-Large-Scale-Stream-Mapping.pdf,http://eprints.utm.my/33608/,papers2://publication/uuid/C93C4E07-5B5B-4C6B-9F2B-F828AA0620D0},\n day = {1},\n id = {13de9e03-2de0-38c8-8e60-5f12517b396f},\n created = {2018-07-21T16:18:03.497Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:03.497Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Udin2012},\n source_type = {JOUR},\n private_publication = {false},\n abstract = {The potential use of rotor wing unmanned aerial vehicle for large scale stream mapping . Ahmad, Anuar (2012) The potential use of rotor wing unmanned aerial vehicle for large scale stream mapping . International Journal of Scientific & Engineering Research, 3 (12). pp. ... \n},\n bibtype = {article},\n author = {Udin, WS and Ahmad, Anuar and Wani, S},\n journal = {International Journal of Scientific & Engineering …},\n number = {12}\n}\n\n The potential use of rotor wing unmanned aerial vehicle for large scale stream mapping . Ahmad, Anuar (2012) The potential use of rotor wing unmanned aerial vehicle for large scale stream mapping . International Journal of Scientific & Engineering Research, 3 (12). pp. ... \n\n
\n\n\n\n \n\n \n \n \n \n \n \n Low-Altitude Coastal Aerial Photogrammetry for High-Resolution Seabed Imaging and Habitat Mapping of Shallow Areas.\n \n \n \n \n\n\n \n Alevizos, E.\n\n\n \n\n\n\n EGU General Assembly Conference Abstracts. 2012.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Low-Altitude Coastal Aerial Photogrammetry for High-Resolution Seabed Imaging and Habitat Mapping of Shallow Areas},\n type = {article},\n year = {2012},\n keywords = {benthic,coastal zone,kite aerial photography,photogrammetry,seabed imaging},\n websites = {http://www.earsel.org/symposia/2012-symposium-Mykonos/Proceedings/03-02_EARSeL-Symposium-2012.pdf},\n id = {24228649-d912-327a-86f5-96f8d05f8658},\n created = {2018-07-21T16:18:03.752Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:03.752Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Alevizos2012},\n private_publication = {false},\n bibtype = {article},\n author = {Alevizos, E},\n journal = {EGU General Assembly Conference Abstracts}\n}\n\n \n\n \n \n \n \n \n \n Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use.\n \n \n \n \n\n\n \n Watts, A., C.; Ambrosia, V., G.; and Hinkley, E., a.\n\n\n \n\n\n\n Remote Sensing, 4(12): 1671-1692. 6 2012.\n \n\n\n\n
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\n\n\n@article{\n title = {Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use},\n type = {article},\n year = {2012},\n keywords = {Aerial survey,Drone,UAV,Unmanned aircraft system (UAS)},\n pages = {1671-1692},\n volume = {4},\n websites = {http://www.mdpi.com/2072-4292/4/6/1671/},\n month = {6},\n day = {8},\n id = {76843cd9-4f83-358d-92c5-4d9b25ec3e6b},\n created = {2018-07-21T16:18:03.954Z},\n accessed = {2014-07-24},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:03.954Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Watts2012},\n private_publication = {false},\n abstract = {Unmanned Aircraft Systems (UAS) have evolved rapidly over the past decade driven primarily by military uses, and have begun finding application among civilian users for earth sensing reconnaissance and scientific data collection purposes. Among UAS, promising characteristics are long flight duration, improved mission safety, flight repeatability due to improving autopilots, and reduced operational costs when compared to manned aircraft. The potential advantages of an unmanned platform, however, depend on many factors, such as aircraft, sensor types, mission objectives, and the current UAS regulatory requirements for operations of the particular platform. The regulations concerning UAS operation are still in the early development stages and currently present significant barriers to entry for scientific users. In this article we describe a variety of platforms, as well as sensor capabilities, and identify advantages of each as relevant to the demands of users in the scientific research sector. We also briefly discuss the current state of regulations affecting UAS operations, with the purpose of informing the scientific community about this developing technology whose potential for revolutionizing natural science observations is similar to those transformations that GIS and GPS brought to the community two decades ago.},\n bibtype = {article},\n author = {Watts, Adam C. and Ambrosia, Vincent G. and Hinkley, Everett a.},\n doi = {10.3390/rs4061671},\n journal = {Remote Sensing},\n number = {12}\n}\n\n Unmanned Aircraft Systems (UAS) have evolved rapidly over the past decade driven primarily by military uses, and have begun finding application among civilian users for earth sensing reconnaissance and scientific data collection purposes. Among UAS, promising characteristics are long flight duration, improved mission safety, flight repeatability due to improving autopilots, and reduced operational costs when compared to manned aircraft. The potential advantages of an unmanned platform, however, depend on many factors, such as aircraft, sensor types, mission objectives, and the current UAS regulatory requirements for operations of the particular platform. The regulations concerning UAS operation are still in the early development stages and currently present significant barriers to entry for scientific users. In this article we describe a variety of platforms, as well as sensor capabilities, and identify advantages of each as relevant to the demands of users in the scientific research sector. We also briefly discuss the current state of regulations affecting UAS operations, with the purpose of informing the scientific community about this developing technology whose potential for revolutionizing natural science observations is similar to those transformations that GIS and GPS brought to the community two decades ago.\n
\n\n\n\n \n\n \n \n \n \n \n \n Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application.\n \n \n \n \n\n\n \n James, M., R.; and Robson, S.\n\n\n \n\n\n\n Journal of Geophysical Research, 117(F3): F03017. 8 2012.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application},\n type = {article},\n year = {2012},\n keywords = {Bundler,DEM,coastal erosion,photogrammetry,structure from motion,surface model},\n pages = {F03017},\n volume = {117},\n websites = {http://doi.wiley.com/10.1029/2011JF002289},\n month = {8},\n day = {11},\n id = {d0fc3f84-8fe2-34f1-a2ed-24cd84e8e853},\n created = {2018-07-21T16:18:04.195Z},\n accessed = {2014-07-22},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.195Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {James2012a},\n private_publication = {false},\n bibtype = {article},\n author = {James, M. R. and Robson, S.},\n doi = {10.1029/2011JF002289},\n journal = {Journal of Geophysical Research},\n number = {F3}\n}\n\n \n\n \n \n \n \n \n \n Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery.\n \n \n \n \n\n\n \n Harwin, S.; and Lucieer, A.\n\n\n \n\n\n\n Remote Sensing, 4(12): 1573-1599. 5 2012.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery},\n type = {article},\n year = {2012},\n keywords = {3D point cloud,UAV,accuracy assessment,coastal environment,multi-view stereopsis},\n pages = {1573-1599},\n volume = {4},\n websites = {http://www.mdpi.com/2072-4292/4/6/1573/},\n month = {5},\n day = {30},\n id = {59b29e2d-4914-35dd-a439-760383c00ffa},\n created = {2018-07-21T16:18:04.395Z},\n accessed = {2014-07-09},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.395Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Harwin2012},\n private_publication = {false},\n bibtype = {article},\n author = {Harwin, Steve and Lucieer, Arko},\n doi = {10.3390/rs4061573},\n journal = {Remote Sensing},\n number = {12}\n}\n\n \n\n \n \n \n \n \n \n Development of a UAV-LiDAR System with Application to Forest Inventory.\n \n \n \n \n\n\n \n Wallace, L.; Lucieer, A.; Watson, C.; and Turner, D.\n\n\n \n\n\n\n Remote Sensing, 4(6): 1519-1543. 5 2012.\n \n\n\n\n
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\n\n\n@article{\n title = {Development of a UAV-LiDAR System with Application to Forest Inventory},\n type = {article},\n year = {2012},\n keywords = {Forestry,Kalman Filter,Kalman filter,LiDAR,MEMS IMU,Sensor integration,Unmanned Aerial Vehicles,Unmanned aerial vehicles,forestry,sensor integration},\n pages = {1519-1543},\n volume = {4},\n websites = {http://www.mdpi.com/2072-4292/4/6/1519/},\n month = {5},\n day = {25},\n id = {f664b690-de20-3598-92fa-7c166095adc0},\n created = {2018-07-21T16:18:04.466Z},\n accessed = {2014-08-19},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.466Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Wallace2012},\n private_publication = {false},\n abstract = {We present the development of a low-cost Unmanned Aerial Vehicle-Light Detecting and Ranging (UAV-LiDAR) system and an accompanying workflow to produce 3D point clouds. UAV systems provide an unrivalled combination of high temporal and spatial resolution datasets. The TerraLuma UAV-LiDAR system has been developed to take advantage of these properties and in doing so overcome some of the current limitations of the use of this technology within the forestry industry. A modified processing workflow including a novel trajectory determination algorithm fusing observations from a GPS receiver, an Inertial Measurement Unit (IMU) and a High Definition (HD) video camera is presented. The advantages of this workflow are demonstrated using a rigorous assessment of the spatial accuracy of the final point clouds. It is shown that due to the inclusion of video the horizontal accuracy of the final point cloud improves from 0.61 m to 0.34 m (RMS error assessed against ground control). The effect of the very high density point clouds (up to 62 points per m2) produced by the UAV-LiDAR system on the measurement of tree location, height and crown width are also assessed by performing repeat surveys over individual isolated trees. The standard deviation of tree height is shown to reduce from 0.26 m, when using data with a density of 8 points perm2, to 0.15mwhen the higher density data was used. Improvements in the uncertainty of the measurement of tree location, 0.80 m to 0.53 m, and crown width, 0.69 m to 0.61 m are also shown.},\n bibtype = {article},\n author = {Wallace, Luke and Lucieer, Arko and Watson, Christopher and Turner, Darren},\n doi = {10.3390/rs4061519},\n journal = {Remote Sensing},\n number = {6}\n}\n\n We present the development of a low-cost Unmanned Aerial Vehicle-Light Detecting and Ranging (UAV-LiDAR) system and an accompanying workflow to produce 3D point clouds. UAV systems provide an unrivalled combination of high temporal and spatial resolution datasets. The TerraLuma UAV-LiDAR system has been developed to take advantage of these properties and in doing so overcome some of the current limitations of the use of this technology within the forestry industry. A modified processing workflow including a novel trajectory determination algorithm fusing observations from a GPS receiver, an Inertial Measurement Unit (IMU) and a High Definition (HD) video camera is presented. The advantages of this workflow are demonstrated using a rigorous assessment of the spatial accuracy of the final point clouds. It is shown that due to the inclusion of video the horizontal accuracy of the final point cloud improves from 0.61 m to 0.34 m (RMS error assessed against ground control). The effect of the very high density point clouds (up to 62 points per m2) produced by the UAV-LiDAR system on the measurement of tree location, height and crown width are also assessed by performing repeat surveys over individual isolated trees. The standard deviation of tree height is shown to reduce from 0.26 m, when using data with a density of 8 points perm2, to 0.15mwhen the higher density data was used. Improvements in the uncertainty of the measurement of tree location, 0.80 m to 0.53 m, and crown width, 0.69 m to 0.61 m are also shown.\n
\n\n\n\n \n\n \n \n \n \n \n \n ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications.\n \n \n \n \n\n\n \n Westoby, M.; Brasington, J.; Glasser, N.; Hambrey, M.; and Reynolds, J.\n\n\n \n\n\n\n Geomorphology, 179: 300-314. 12 2012.\n \n\n\n\n
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\n\n\n\n@article{\n title = {‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications},\n type = {article},\n year = {2012},\n keywords = {Close‐range photogrammetry,Digital elevation model (DEM),SFMToolkit,Structure-from-Motion (SfM),Terrestrial laser scanning (TLS),close,dem,digital elevation model,range photogrammetry,sfm,structure-from-motion},\n pages = {300-314},\n volume = {179},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0169555X12004217},\n month = {12},\n publisher = {Elsevier B.V.},\n id = {724dc700-ee2b-3f1d-a662-855c0fba0b8b},\n created = {2018-07-21T16:18:04.599Z},\n accessed = {2014-07-09},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.599Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Westoby2012},\n private_publication = {false},\n bibtype = {article},\n author = {Westoby, M.J. and Brasington, J. and Glasser, N.F. and Hambrey, M.J. and Reynolds, J.M.},\n doi = {10.1016/j.geomorph.2012.08.021},\n journal = {Geomorphology}\n}\n\n \n\n \n \n \n \n \n \n Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still camera.\n \n \n \n \n\n\n \n Rosnell, T.; and Honkavaara, E.\n\n\n \n\n\n\n Sensors (Basel, Switzerland), 12(1): 453-80. 1 2012.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still camera.},\n type = {article},\n year = {2012},\n keywords = {Calibration,Computer Simulation,Finland,Image Processing, Computer-Assisted,Image Processing, Computer-Assisted: methods,Microtechnology,Microtechnology: instrumentation,Photogrammetry,Photogrammetry: instrumentation,Statistics as Topic},\n pages = {453-80},\n volume = {12},\n websites = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3279223&tool=pmcentrez&rendertype=abstract},\n month = {1},\n id = {69140f98-d7fa-3722-aa87-5b3e26c2eedd},\n created = {2018-07-21T16:18:04.658Z},\n accessed = {2014-07-10},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.658Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Rosnell2012},\n private_publication = {false},\n abstract = {The objective of this investigation was to develop and investigate methods for point cloud generation by image matching using aerial image data collected by quadrocopter type micro unmanned aerial vehicle (UAV) imaging systems. Automatic generation of high-quality, dense point clouds from digital images by image matching is a recent, cutting-edge step forward in digital photogrammetric technology. The major components of the system for point cloud generation are a UAV imaging system, an image data collection process using high image overlaps, and post-processing with image orientation and point cloud generation. Two post-processing approaches were developed: one of the methods is based on Bae Systems' SOCET SET classical commercial photogrammetric software and another is built using Microsoft(®)'s Photosynth™ service available in the Internet. Empirical testing was carried out in two test areas. Photosynth processing showed that it is possible to orient the images and generate point clouds fully automatically without any a priori orientation information or interactive work. The photogrammetric processing line provided dense and accurate point clouds that followed the theoretical principles of photogrammetry, but also some artifacts were detected. The point clouds from the Photosynth processing were sparser and noisier, which is to a large extent due to the fact that the method is not optimized for dense point cloud generation. Careful photogrammetric processing with self-calibration is required to achieve the highest accuracy. Our results demonstrate the high performance potential of the approach and that with rigorous processing it is possible to reach results that are consistent with theory. We also point out several further research topics. Based on theoretical and empirical results, we give recommendations for properties of imaging sensor, data collection and processing of UAV image data to ensure accurate point cloud generation.},\n bibtype = {article},\n author = {Rosnell, Tomi and Honkavaara, Eija},\n doi = {10.3390/s120100453},\n journal = {Sensors (Basel, Switzerland)},\n number = {1}\n}\n\n The objective of this investigation was to develop and investigate methods for point cloud generation by image matching using aerial image data collected by quadrocopter type micro unmanned aerial vehicle (UAV) imaging systems. Automatic generation of high-quality, dense point clouds from digital images by image matching is a recent, cutting-edge step forward in digital photogrammetric technology. The major components of the system for point cloud generation are a UAV imaging system, an image data collection process using high image overlaps, and post-processing with image orientation and point cloud generation. Two post-processing approaches were developed: one of the methods is based on Bae Systems' SOCET SET classical commercial photogrammetric software and another is built using Microsoft(®)'s Photosynth™ service available in the Internet. Empirical testing was carried out in two test areas. Photosynth processing showed that it is possible to orient the images and generate point clouds fully automatically without any a priori orientation information or interactive work. The photogrammetric processing line provided dense and accurate point clouds that followed the theoretical principles of photogrammetry, but also some artifacts were detected. The point clouds from the Photosynth processing were sparser and noisier, which is to a large extent due to the fact that the method is not optimized for dense point cloud generation. Careful photogrammetric processing with self-calibration is required to achieve the highest accuracy. Our results demonstrate the high performance potential of the approach and that with rigorous processing it is possible to reach results that are consistent with theory. We also point out several further research topics. Based on theoretical and empirical results, we give recommendations for properties of imaging sensor, data collection and processing of UAV image data to ensure accurate point cloud generation.\n
\n\n\n\n \n\n \n \n \n \n \n \n Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco.\n \n \n \n \n\n\n \n d'Oleire-Oltmanns, S.; Marzolff, I.; Peter, K.; and Ries, J.\n\n\n \n\n\n\n Remote Sensing, 4(12): 3390-3416. 11 2012.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n\n@article{\n title = {Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco},\n type = {article},\n year = {2012},\n keywords = {2012,4,monitoring,photogrammetry,remote sens,sfap,soil erosion,uav},\n pages = {3390-3416},\n volume = {4},\n websites = {http://www.mdpi.com/2072-4292/4/11/3390/},\n month = {11},\n day = {7},\n id = {64ce1f5f-aa17-3873-be57-c7adeeecfc47},\n created = {2018-07-21T16:18:04.986Z},\n accessed = {2014-07-13},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.986Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {DOleire-Oltmanns2012},\n private_publication = {false},\n bibtype = {article},\n author = {d'Oleire-Oltmanns, Sebastian and Marzolff, Irene and Peter, Klaus and Ries, Johannes},\n doi = {10.3390/rs4113390},\n journal = {Remote Sensing},\n number = {12}\n}\n\n \n\n \n \n \n \n \n \n Unmanned aircraft systems: Surveillance, ethics and privacy in civil applications.\n \n \n \n \n\n\n \n Finn, R., L.; and Wright, D.\n\n\n \n\n\n\n Computer Law & Security Review, 28(2): 184-194. 4 2012.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Unmanned aircraft systems: Surveillance, ethics and privacy in civil applications},\n type = {article},\n year = {2012},\n keywords = {unmanned aircraft systems},\n pages = {184-194},\n volume = {28},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0267364912000234},\n month = {4},\n publisher = {Elsevier Ltd},\n id = {11255949-c846-381c-89e2-d418e05b0034},\n created = {2018-07-21T16:18:05.048Z},\n accessed = {2014-07-15},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:05.048Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Finn2012},\n private_publication = {false},\n bibtype = {article},\n author = {Finn, Rachel L. and Wright, David},\n doi = {10.1016/j.clsr.2012.01.005},\n journal = {Computer Law & Security Review},\n number = {2}\n}\n\n \n\n \n \n \n \n \n \n UAV-based remote sensing of the Super-Sauze landslide: Evaluation and results.\n \n \n \n \n\n\n \n Niethammer, U.; James, M., R.; Rothmund, S.; Travelletti, J.; and Joswig, M.\n\n\n \n\n\n\n Engineering Geology, 128(C): 2-11. 3 2012.\n \n\n\n\n
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\n\n\n@article{\n title = {UAV-based remote sensing of the Super-Sauze landslide: Evaluation and results},\n type = {article},\n year = {2012},\n keywords = {DTM,Fissures,Landslide,Remote sensing,TLS,UAV},\n pages = {2-11},\n volume = {128},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0013795211000755,http://dx.doi.org/10.1016/j.enggeo.2011.03.012,papers2://publication/doi/10.1016/j.enggeo.2011.03.012},\n month = {3},\n publisher = {Elsevier B.V.},\n day = {9},\n id = {a098b81c-35d1-3c9f-ac2c-1d08fbb20158},\n created = {2018-07-21T16:18:05.461Z},\n accessed = {2014-07-12},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:05.461Z},\n read = {true},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Niethammer2012},\n source_type = {JOUR},\n private_publication = {false},\n abstract = {Engineering Geology, 128 (2012) 2-11. doi:10.1016/j.enggeo.2011.03.012},\n bibtype = {article},\n author = {Niethammer, U. and James, M.R. R and Rothmund, S. and Travelletti, J. and Joswig, M.},\n doi = {10.1016/j.enggeo.2011.03.012},\n journal = {Engineering Geology},\n number = {C}\n}\n\n Engineering Geology, 128 (2012) 2-11. doi:10.1016/j.enggeo.2011.03.012\n
\n\n\n\n \n\n \n \n \n \n \n High Spatial Resolution Remotely Sensed Data for Ecosystem Characterization.\n \n \n \n\n\n \n Wulder, M., a.; Hall, R., J.; Coops, N., C.; Steven, E.; and Franklin, S., E.\n\n\n \n\n\n\n , 54(6): 511-521. 2012.\n \n\n\n\n
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\n\n\n\n@article{\n title = {High Spatial Resolution Remotely Sensed Data for Ecosystem Characterization},\n type = {article},\n year = {2012},\n keywords = {biodiversity,forest ecology,general ecology,landscape ecology,remote sensing},\n pages = {511-521},\n volume = {54},\n id = {75158b36-ef8b-336a-810f-431e2d6c9cd0},\n created = {2018-07-23T13:44:53.619Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.455Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Wulder2012},\n private_publication = {false},\n bibtype = {article},\n author = {Wulder, Michael a and Hall, Ronald J and Coops, Nicholas C and Steven, E and Franklin, Steven E},\n number = {6}\n}\n\n \n\n \n \n \n \n \n Assessing the accuracy of georeferenced point clouds produced via multi-view stereopsis from Unmanned Aerial Vehicle (UAV) imagery.\n \n \n \n\n\n \n Harwin, S.; and Lucieer, A.\n\n\n \n\n\n\n Remote Sensing, 4(6): 1573-1599. 2012.\n \n\n\n\n
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\n\n\n@article{\n title = {Assessing the accuracy of georeferenced point clouds produced via multi-view stereopsis from Unmanned Aerial Vehicle (UAV) imagery},\n type = {article},\n year = {2012},\n keywords = {3D point cloud,Accuracy assessment,Coastal environment,Multi-view stereopsis,UAV},\n pages = {1573-1599},\n volume = {4},\n id = {c956317d-bca3-33f7-9e6e-a702fb99ba3d},\n created = {2019-07-05T13:44:32.850Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2019-07-05T13:44:32.850Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Harwin2012a},\n private_publication = {false},\n abstract = {Sensor miniaturisation, improved battery technology and the availability of low-cost yet advanced Unmanned Aerial Vehicles (UAV) have provided new opportunities for environmental remote sensing. The UAV provides a platform for close-range aerial photography. Detailed imagery captured from micro-UAV can produce dense point clouds using multi-view stereopsis (MVS) techniques combining photogrammetry and computer vision. This study applies MVS techniques to imagery acquired from a multi-rotor micro-UAV of a natural coastal site in southeastern Tasmania, Australia. A very dense point cloud ( < 1–3 cm point spacing) is produced in an arbitrary coordinate system using full resolution imagery, whereas other studies usually downsample the original imagery. The point cloud is sparse in areas of complex vegetation and where surfaces have a homogeneous texture. Ground control points collected with Differential Global Positioning System (DGPS) are identified and used for georeferencing via a Helmert transformation. This study compared georeferenced point clouds to a Total Station survey in order to assess and quantify their geometric accuracy. The results indicate that a georeferenced point cloud accurate to 25–40 mm can be obtained from imagery acquired from 50 m. UAV-based image capture provides the spatial and temporal resolution required to map and monitor natural landscapes. This paper assesses the accuracy of the generated point clouds based on field survey points. Based on our key findings we conclude that sub-decimetre terrain change (in this case coastal erosion) can be monitored.},\n bibtype = {article},\n author = {Harwin, Steve and Lucieer, Arko},\n doi = {10.3390/rs4061573},\n journal = {Remote Sensing},\n number = {6}\n}\n\n Sensor miniaturisation, improved battery technology and the availability of low-cost yet advanced Unmanned Aerial Vehicles (UAV) have provided new opportunities for environmental remote sensing. The UAV provides a platform for close-range aerial photography. Detailed imagery captured from micro-UAV can produce dense point clouds using multi-view stereopsis (MVS) techniques combining photogrammetry and computer vision. This study applies MVS techniques to imagery acquired from a multi-rotor micro-UAV of a natural coastal site in southeastern Tasmania, Australia. A very dense point cloud ( < 1–3 cm point spacing) is produced in an arbitrary coordinate system using full resolution imagery, whereas other studies usually downsample the original imagery. The point cloud is sparse in areas of complex vegetation and where surfaces have a homogeneous texture. Ground control points collected with Differential Global Positioning System (DGPS) are identified and used for georeferencing via a Helmert transformation. This study compared georeferenced point clouds to a Total Station survey in order to assess and quantify their geometric accuracy. The results indicate that a georeferenced point cloud accurate to 25–40 mm can be obtained from imagery acquired from 50 m. UAV-based image capture provides the spatial and temporal resolution required to map and monitor natural landscapes. This paper assesses the accuracy of the generated point clouds based on field survey points. Based on our key findings we conclude that sub-decimetre terrain change (in this case coastal erosion) can be monitored.\n
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\n \n \n\n \n \n \n \n \n \n Mini-UAV-borne LIDAR for fine-scale mapping.\n \n \n \n \n\n\n \n Lin, Y.; Hyyppa, J.; and Jaakkola, A.\n\n\n \n\n\n\n Geoscience and Remote Sensing …, 8(3): 426-430. 2011.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Mini-UAV-borne LIDAR for fine-scale mapping},\n type = {article},\n year = {2011},\n pages = {426-430},\n volume = {8},\n websites = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5624563},\n id = {b3e57fd9-fd75-305c-b74a-54bb28d545b2},\n created = {2018-07-21T13:59:03.676Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:57.032Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Lin2011},\n private_publication = {false},\n bibtype = {article},\n author = {Lin, Yi and Hyyppa, J and Jaakkola, Anttoni},\n journal = {Geoscience and Remote Sensing …},\n number = {3}\n}\n\n \n\n \n \n \n \n \n \n Mini-UAV-borne LIDAR for fine-scale mapping.\n \n \n \n \n\n\n \n Lin, Y.; Hyyppä, J.; and Jaakkola, A.\n\n\n \n\n\n\n IEEE Geoscience and Remote Sensing Letters, 8(3): 426-430. 2011.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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\n\n\n\n@article{\n title = {Mini-UAV-borne LIDAR for fine-scale mapping},\n type = {article},\n year = {2011},\n pages = {426-430},\n volume = {8},\n websites = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5624563},\n id = {82cb2665-e31b-3758-acc1-95d93ddf1750},\n created = {2018-07-21T16:18:01.878Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T10:11:56.359Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Lin2011},\n private_publication = {false},\n bibtype = {article},\n author = {Lin, Yi and Hyyppä, J and Jaakkola, Anttoni},\n doi = {10.1109/LGRS.2010.2079913},\n journal = {IEEE Geoscience and Remote Sensing Letters},\n number = {3}\n}\n\n \n\n \n \n \n \n \n \n Mobile 3D mapping with a low-cost UAV system.\n \n \n \n \n\n\n \n Neitzel, F.; and Klonowski, J.\n\n\n \n\n\n\n Int. Arch. Photogramm. Remote Sens. Spat. …, XXXVIII: 1-6. 2011.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Mobile 3D mapping with a low-cost UAV system},\n type = {article},\n year = {2011},\n keywords = {3d point cloud,flight planning,mobile mapping,photogrammetry,uav,unmanned aerial vehicle},\n pages = {1-6},\n volume = {XXXVIII},\n websites = {http://143.93.114.105/sites/default/files/public/data/uav-g_neitzel_klonowski.pdf},\n id = {46141411-1ce9-3c7a-abec-2904a85ce104},\n created = {2018-07-21T16:18:04.925Z},\n accessed = {2014-08-29},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.925Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Neitzel2011},\n private_publication = {false},\n bibtype = {article},\n author = {Neitzel, F and Klonowski, J},\n journal = {Int. Arch. Photogramm. Remote Sens. Spat. …}\n}\n\n \n\n \n \n \n \n \n \n Assessing and Estimating Risk of Operating Unmanned Aerial Systems in Populated Areas.\n \n \n \n \n\n\n \n Lum, C.; Gauksheim, K.; Deseure, C.; Vagners, J.; and McGeer, T.\n\n\n \n\n\n\n 11th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference,1-13. 2011.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Assessing and Estimating Risk of Operating Unmanned Aerial Systems in Populated Areas},\n type = {article},\n year = {2011},\n pages = {1-13},\n websites = {http://arc.aiaa.org/doi/10.2514/6.2011-6918},\n id = {a0259470-039b-39fd-b498-653f6a7a9299},\n created = {2018-07-23T13:44:53.487Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.670Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Lum2011},\n private_publication = {false},\n bibtype = {article},\n author = {Lum, Christopher and Gauksheim, Kristoffer and Deseure, Chris and Vagners, Juris and McGeer, Tad},\n doi = {10.2514/6.2011-6918},\n journal = {11th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference}\n}\n\n \n\n \n \n \n \n \n ' Structure-from-Motion ': a high resolution , low-cost photogrammetric tool for geoscience applications.\n \n \n \n\n\n \n Westoby, M.; Glasser, N., F.; Brasington, J.; and Hambrey, M., J.\n\n\n \n\n\n\n Geomorphology, (January 2016). 2011.\n \n\n\n\n
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\n\n\n\n@article{\n title = {' Structure-from-Motion ': a high resolution , low-cost photogrammetric tool for geoscience applications},\n type = {article},\n year = {2011},\n id = {97de75f8-9f71-3a6c-87b3-cbc1d78011d6},\n created = {2018-07-23T13:44:53.699Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.519Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Westoby2011},\n private_publication = {false},\n bibtype = {article},\n author = {Westoby, Matt and Glasser, Neil F and Brasington, James and Hambrey, Michael J},\n doi = {10.1016/j.geomorph.2012.08.021},\n journal = {Geomorphology},\n number = {January 2016}\n}\n\n
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\n \n \n\n \n \n \n \n \n \n UAV-based remote sensing of landslides.\n \n \n \n \n\n\n \n Niethammer, U.\n\n\n \n\n\n\n … , Remote Sensing …, XXXVIII(2005). 2010.\n \n\n\n\n
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\n\n\n\n@article{\n title = {UAV-based remote sensing of landslides},\n type = {article},\n year = {2010},\n keywords = {dem,dsm,landslide,photogrammetry,quad-rotor,uav},\n volume = {XXXVIII},\n websites = {http://www.geophys.uni-stuttgart.de/~uwe/102.pdf},\n id = {f4c3a438-8256-3ae1-91b7-18afd76e292e},\n created = {2018-07-21T13:04:01.899Z},\n accessed = {2014-09-07},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.721Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Niethammer2010},\n private_publication = {false},\n bibtype = {article},\n author = {Niethammer, U},\n journal = {… , Remote Sensing …},\n number = {2005}\n}\n\n \n\n \n \n \n \n \n \n Acquisition of NIR-green-blue digital photographs from unmanned aircraft for crop monitoring.\n \n \n \n \n\n\n \n Hunt, E., R.; Dean Hively, W.; Fujikawa, S., J.; Linden, D., S.; Daughtry, C., S., T.; and McCarty, G., W.\n\n\n \n\n\n\n Remote Sensing, 2(1): 290-305. 1 2010.\n \n\n\n\n
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\n\n\n@article{\n title = {Acquisition of NIR-green-blue digital photographs from unmanned aircraft for crop monitoring},\n type = {article},\n year = {2010},\n keywords = {Green NDVI,Leaf area index,Triticum aestivum,UAV,Unmanned aerial vehicle,Winter wheat},\n pages = {290-305},\n volume = {2},\n websites = {http://www.mdpi.com/2072-4292/2/1/290/},\n month = {1},\n day = {11},\n id = {c80f1f94-e03c-35ee-876b-9a213e6bb833},\n created = {2018-07-21T13:59:03.375Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.628Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Hunt2010},\n private_publication = {false},\n abstract = {Payload size and weight are critical factors for small Unmanned Aerial Vehicles (UAVs). Digital color-infrared photographs were acquired from a single 12-megapixel camera that did not have an internal hot-mirror filter and had a red-light-blocking filter in front of the lens, resulting in near-infrared (NIR), green and blue images. We tested the UAV-camera system over two variably-fertilized fields of winter wheat and found a good correlation between leaf area index and the green normalized difference vegetation index (GNDVI). The low cost and very-high spatial resolution associated with the camera-UAV system may provide important information for site-specific agriculture.},\n bibtype = {article},\n author = {Hunt, E. Raymond and Dean Hively, W. and Fujikawa, Stephen J. and Linden, David S. and Daughtry, Craig S T and McCarty, Greg W.},\n doi = {10.3390/rs2010290},\n journal = {Remote Sensing},\n number = {1}\n}\n\n Payload size and weight are critical factors for small Unmanned Aerial Vehicles (UAVs). Digital color-infrared photographs were acquired from a single 12-megapixel camera that did not have an internal hot-mirror filter and had a red-light-blocking filter in front of the lens, resulting in near-infrared (NIR), green and blue images. We tested the UAV-camera system over two variably-fertilized fields of winter wheat and found a good correlation between leaf area index and the green normalized difference vegetation index (GNDVI). The low cost and very-high spatial resolution associated with the camera-UAV system may provide important information for site-specific agriculture.\n
\n\n\n\n \n\n \n \n \n \n \n Nicholas DiGruttolo and Ahmed Mohamed.\n \n \n \n\n\n \n Digruttolo, N.; and Mohamed, A.\n\n\n \n\n\n\n Surveying and Land Information Science, 70(3): 119-129. 2010.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Nicholas DiGruttolo and Ahmed Mohamed},\n type = {article},\n year = {2010},\n keywords = {elevation,inertial navigation,satelitte navigation,sea level rise,unmanned aerial vehicles},\n pages = {119-129},\n volume = {70},\n id = {eaa267cf-55ef-3efd-becb-bef837f31657},\n created = {2018-07-21T13:59:03.659Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:57.045Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Digruttolo2010},\n private_publication = {false},\n bibtype = {article},\n author = {Digruttolo, Nicholas and Mohamed, Ahmed},\n journal = {Surveying and Land Information Science},\n number = {3}\n}\n\n \n\n \n \n \n \n \n \n Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring.\n \n \n \n \n\n\n \n Hunt, Jr., E., R.; Hively, W., D.; Fujikawa, S., J.; Linden, D., S.; Daughtry, C., S., T.; and McCarty, G., W.\n\n\n \n\n\n\n Remote Sensing, 2(1): 290-305. 1 2010.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring},\n type = {article},\n year = {2010},\n pages = {290-305},\n volume = {2},\n websites = {http://www.mdpi.com/2072-4292/2/1/290/},\n month = {1},\n day = {11},\n id = {c213faf4-4cea-3b46-861e-ae49a48cf972},\n created = {2018-07-21T16:17:57.776Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:17:57.776Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {HuntJr.2010},\n private_publication = {false},\n bibtype = {article},\n author = {Hunt, Jr., E. Raymond and Hively, W. Dean and Fujikawa, Stephen J. and Linden, David S. and Daughtry, Craig S. T. and McCarty, Greg W.},\n doi = {10.3390/rs2010290},\n journal = {Remote Sensing},\n number = {1}\n}\n\n \n\n \n \n \n \n \n \n Aerial Photography: A Rapidly Evolving Tool for Ecological Management.\n \n \n \n \n\n\n \n Morgan, J., L.; Gergel, S., E.; and Coops, N., C.\n\n\n \n\n\n\n BioScience, 60(1): 47-59. 1 2010.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Aerial Photography: A Rapidly Evolving Tool for Ecological Management},\n type = {article},\n year = {2010},\n keywords = {digital image analysis and,ecosystem management,high spatial-resolution imagery,historical information,interpretation},\n pages = {47-59},\n volume = {60},\n websites = {http://bioscience.oxfordjournals.org/cgi/doi/10.1525/bio.2010.60.1.9},\n month = {1},\n id = {eb2d6fc5-7a25-3923-9eb3-5e4aab9ba717},\n created = {2018-07-21T16:17:57.817Z},\n accessed = {2014-07-23},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:17:57.817Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Morgan2010},\n private_publication = {false},\n bibtype = {article},\n author = {Morgan, Jessica L. and Gergel, Sarah E. and Coops, Nicholas C.},\n doi = {10.1525/bio.2010.60.1.9},\n journal = {BioScience},\n number = {1}\n}\n\n \n\n \n \n \n \n \n \n The small unmanned aircraft blunt criterion based injury potential estimation.\n \n \n \n \n\n\n \n Magister, T.\n\n\n \n\n\n\n Safety Science, 48(10): 1313-1320. 12 2010.\n \n\n\n\n
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\n\n\n\n@article{\n title = {The small unmanned aircraft blunt criterion based injury potential estimation},\n type = {article},\n year = {2010},\n keywords = {blunt ballistic impact,small unmanned aircraft},\n pages = {1313-1320},\n volume = {48},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0925753510001128},\n month = {12},\n publisher = {Elsevier Ltd},\n id = {42bddb7b-9057-3a43-801a-2f1af6c31a61},\n created = {2018-07-21T16:17:59.158Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.882Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Magister2010},\n private_publication = {false},\n bibtype = {article},\n author = {Magister, Tone},\n doi = {10.1016/j.ssci.2010.04.012},\n journal = {Safety Science},\n number = {10}\n}\n\n \n\n \n \n \n \n \n \n High resolution, basin extent observations and implications for understanding river form and process.\n \n \n \n \n\n\n \n Fonstad, M., a.; and Marcus, W., A.\n\n\n \n\n\n\n Earth Surface Processes and Landforms, 698(February): n/a-n/a. 2010.\n \n\n\n\n
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\n\n\n\n@article{\n title = {High resolution, basin extent observations and implications for understanding river form and process},\n type = {article},\n year = {2010},\n keywords = {fl uvial,geomorphology,remote sensing,rivers,scale},\n pages = {n/a-n/a},\n volume = {698},\n websites = {http://doi.wiley.com/10.1002/esp.1969},\n id = {1fa8c469-8ccd-3c71-8dad-b332aadd49f0},\n created = {2018-07-21T16:18:00.178Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.854Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Fonstad2010},\n private_publication = {false},\n bibtype = {article},\n author = {Fonstad, Mark a. and Marcus, W. Andrew},\n doi = {10.1002/esp.1969},\n journal = {Earth Surface Processes and Landforms},\n number = {February}\n}\n\n \n\n \n \n \n \n \n \n High resolution, basin extent observations and implications for understanding river form and process.\n \n \n \n \n\n\n \n Fonstad, M., a.; and Marcus, W., A.\n\n\n \n\n\n\n Earth Surface Processes and Landforms, 698(February): n/a-n/a. 2010.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n\n@article{\n title = {High resolution, basin extent observations and implications for understanding river form and process},\n type = {article},\n year = {2010},\n keywords = {fl uvial,geomorphology,remote sensing,rivers,scale},\n pages = {n/a-n/a},\n volume = {698},\n websites = {http://doi.wiley.com/10.1002/esp.1969},\n id = {01f0fa7b-7339-3436-b2fd-5afb3b473fe0},\n created = {2018-07-21T16:18:02.041Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.041Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Fonstad2010},\n private_publication = {false},\n bibtype = {article},\n author = {Fonstad, Mark a. and Marcus, W. Andrew},\n doi = {10.1002/esp.1969},\n journal = {Earth Surface Processes and Landforms},\n number = {February}\n}\n\n \n\n \n \n \n \n \n \n Nav-based remote sensing of landslides.\n \n \n \n \n\n\n \n Niethammer, U.; Rothmund, S.; James, M., R.; Travelletti, J.; and Joswig, M.\n\n\n \n\n\n\n International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 38(2005): 496-501. 2010.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Nav-based remote sensing of landslides},\n type = {article},\n year = {2010},\n keywords = {DEM,DSM,Landslide,Photogrammetry,Quad-rotor,UAV},\n pages = {496-501},\n volume = {38},\n websites = {http://www.geophys.uni-stuttgart.de/~uwe/102.pdf,http://www.scopus.com/inward/record.url?eid=2-s2.0-84873737591&partnerID=tZOtx3y1},\n id = {c0727f75-bd10-36c6-9dad-643584a4bcdb},\n created = {2018-07-21T16:18:03.569Z},\n accessed = {2014-09-07},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T10:11:56.330Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Niethammer2010},\n private_publication = {false},\n abstract = {In this study a low-cost remote sensing approach based on unmanned aerial vehicles (UAVs) and digital compact cameras will be presented. This approach enables high-resolution acquisitions of landslides. The concept of manual controlled quad-rotor helicopters has been investigated for photogrammetric applications, since quad-rotor systems have been proved to be well suited for landslide monitoring in difficult alpine terrain. During the UAV-based remote sensing campaigns significant numbers of airborne photographs of the Super-Sauze landslide (Southern France) have been acquired. These photographs were combined to an ortho-mosaic by applying plane image rectification methods. Digital surface models (DSMs) were generated using a new feature-based surface reconstruction approach which does not require any ground control point information.},\n bibtype = {article},\n author = {Niethammer, U and Rothmund, S. and James, M. R. and Travelletti, J. and Joswig, M.},\n journal = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives},\n number = {2005}\n}\n\n In this study a low-cost remote sensing approach based on unmanned aerial vehicles (UAVs) and digital compact cameras will be presented. This approach enables high-resolution acquisitions of landslides. The concept of manual controlled quad-rotor helicopters has been investigated for photogrammetric applications, since quad-rotor systems have been proved to be well suited for landslide monitoring in difficult alpine terrain. During the UAV-based remote sensing campaigns significant numbers of airborne photographs of the Super-Sauze landslide (Southern France) have been acquired. These photographs were combined to an ortho-mosaic by applying plane image rectification methods. Digital surface models (DSMs) were generated using a new feature-based surface reconstruction approach which does not require any ground control point information.\n
\n\n\n\n \n\n \n \n \n \n \n \n Small-format aerial photography: Principles, techniques and geoscience applications.\n \n \n \n \n\n\n \n Aber, J.; Marzolff, I.; and Ries, J.\n\n\n \n\n\n\n Elsevier, 2010.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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\n\n\n\n@book{\n title = {Small-format aerial photography: Principles, techniques and geoscience applications},\n type = {book},\n year = {2010},\n source = {The Photogrammetric Record},\n pages = {1-14},\n issue = {2007},\n websites = {http://onlinelibrary.wiley.com/doi/10.1111/j.1477-9730.2011.00637_2.x/abstract,http://books.google.com/books?hl=en&lr=&id=TX2BsDMnLhEC&oi=fnd&pg=PP2&dq=Small+Format+Aerial+Photography.+Principles,+techniques+and+geoscience+applications&ots=JBFJ-_WVKC&sig=},\n publisher = {Elsevier},\n id = {261e29a0-1d64-390e-a19c-dc5ff01b0177},\n created = {2018-07-21T16:18:04.689Z},\n accessed = {2014-08-27},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.689Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Aber2010},\n private_publication = {false},\n bibtype = {book},\n author = {Aber, JS and Marzolff, I and Ries, J}\n}\n\n \n\n \n \n \n \n \n Book Review - A Field Guide to Geophysics in Archaeology.\n \n \n \n\n\n \n Haskins, N.\n\n\n \n\n\n\n Archaeological Prospection, 62(December 2009): 61-62. 2010.\n \n\n\n\n
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\n\n\n@article{\n title = {Book Review - A Field Guide to Geophysics in Archaeology},\n type = {article},\n year = {2010},\n keywords = {10.1002/arp.1530 and Angkor,aerial remote sensing,angkor,semi-automatic feature extraction,southeast Asia,southeast asia,water management},\n pages = {61-62},\n volume = {62},\n id = {2288cf38-fcc5-370b-8f16-ea6d31376018},\n created = {2018-07-23T13:44:53.491Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.435Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Haskins2010},\n private_publication = {false},\n abstract = {Book Review A Field Guide to Geophysics in Archaeology},\n bibtype = {article},\n author = {Haskins, Neville},\n doi = {10.1002/arp},\n journal = {Archaeological Prospection},\n number = {December 2009}\n}\n\n Book Review A Field Guide to Geophysics in Archaeology\n
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\n\n \n \n 2009\n \n \n (5)\n \n \n
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\n \n \n\n \n \n \n \n \n \n Unmanned Air Vehicles for Coastal and Environmental Research.\n \n \n \n \n\n\n \n Pereira, E.; Bencatel, R.; Correia, J.; Beneatel, R.; Felix, L.; Goncalves, G.; Morgado, J.; and Sousa, J.\n\n\n \n\n\n\n Journal of Coastal Research, II(56): 1557-1561. 2009.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Unmanned Air Vehicles for Coastal and Environmental Research},\n type = {article},\n year = {2009},\n pages = {1557-1561},\n volume = {II},\n websites = {http://www.jstor.org/stable/25738051,papers2://publication/uuid/4EE67170-CB1C-4590-9A19-347C35E23CED},\n publisher = {JSTOR},\n day = {1},\n id = {55d4372f-69ba-3d59-b050-22f64df87915},\n created = {2018-07-21T16:18:02.823Z},\n accessed = {2014-08-29},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.823Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Pereira2009},\n source_type = {JOUR},\n private_publication = {false},\n bibtype = {article},\n author = {Pereira, E and Bencatel, R and Correia, J and Beneatel, R and Felix, L and Goncalves, G and Morgado, J and Sousa, J},\n journal = {Journal of Coastal Research},\n number = {56}\n}\n\n \n\n \n \n \n \n \n \n DRELIO: An Unmanned Helicopter for Imaging Coastal Areas.\n \n \n \n \n\n\n \n Delacourt, C.; Allemand, P.; Grandjean, P.; Deschamps, A.; Ammann, J.; Cuq ? >, V.; and Suanez, S.\n\n\n \n\n\n\n Journal of Coastal Research, 56(56): 1489-1493. 2009.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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Website\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n\n
\n\n\n@article{\n title = {DRELIO: An Unmanned Helicopter for Imaging Coastal Areas},\n type = {article},\n year = {2009},\n pages = {1489-1493},\n volume = {56},\n websites = {http://www.jstor.org/stable/25738037,http://www.jstor.org/stable/25738037%5Cnhttp://about.jstor.org/terms},\n id = {a5ebfbd8-1285-3814-a1b4-142c48410ac4},\n created = {2018-07-21T16:18:03.534Z},\n accessed = {2014-09-07},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-25T08:22:09.320Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Delacourt2009},\n private_publication = {false},\n abstract = {JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. ABSTRACT Delacourt, C, Allemand, P., Jaud, M., Grandjean, P., Deschamps, A., Ammann, J., CUQ, V., and SUANEZ, S., 2009. DRELIO: An Unmanned helicopter for imaging coastal areas, , SI 56 (Proceedings of the 10th International Coastal Symposium), 1489 -1493. Lisbon, Portugal, ISSN 0749-0258. Very high spatial resolution remote sensing images and Digital Elevation Models (DEM) are widely used in coastal management applications. For example, they are used for the quantification of morphosedimentary changes of the coastal fringe, including cross-shore and longshore sediment transport. They are also used as input in hydrodynamics numerical modelling . Spatial resolution, precision and accuracy are critical parameters of the DEM. Presently, most of DEM are built using aerial or satellite images with a spatial resolution coarser than 50cm is not accurate enough for most of applications. An unmanned photogrammetric helicopter (DRELIO) has been developed. It is equipped with an autopilot system. After loading the flight plan, no ground communications are needed from take off to landing. The fly altitude can reach 100m above the ground. DRELIO can operate in windy conditions up to 50km/h and it is able to make stationary flights. A reflex camera with high quality interchangeable optics is onboard. Depending on the focal length and flying altitude, the resolution of the images varies from 1 to 5cm with a ground coverage of 50 by 75m up to 250 by 375m. Due to specific flight conditions and image acquisitions, a photogrammetric toolbox has been developed. Using stereoscopic images and GPS positioning of reference points on the images, it allows building DEM and an orthorectified image with a spatial resolution better than 5cm. In this study, we present an example of an acquisition realzed on the beach of Porsmillin (French Brittany) and we discuss the precision and accuracy obtained by this method. The DRELIO system, which produces DEM concurrent to LIDARs, appears now to be more flexible and efficient than UAV (Unmanned Aerial Vehicle) helicopters equipped with electric engines, UAV planes and less expensive than LIDAR.},\n bibtype = {article},\n author = {Delacourt, C and Allemand, P and Grandjean, P and Deschamps, A and Ammann, J and Cuq ? >, V and Suanez, S},\n doi = {0749-0258},\n journal = {Journal of Coastal Research},\n number = {56}\n}\n\n JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. ABSTRACT Delacourt, C, Allemand, P., Jaud, M., Grandjean, P., Deschamps, A., Ammann, J., CUQ, V., and SUANEZ, S., 2009. DRELIO: An Unmanned helicopter for imaging coastal areas, , SI 56 (Proceedings of the 10th International Coastal Symposium), 1489 -1493. Lisbon, Portugal, ISSN 0749-0258. Very high spatial resolution remote sensing images and Digital Elevation Models (DEM) are widely used in coastal management applications. For example, they are used for the quantification of morphosedimentary changes of the coastal fringe, including cross-shore and longshore sediment transport. They are also used as input in hydrodynamics numerical modelling . Spatial resolution, precision and accuracy are critical parameters of the DEM. Presently, most of DEM are built using aerial or satellite images with a spatial resolution coarser than 50cm is not accurate enough for most of applications. An unmanned photogrammetric helicopter (DRELIO) has been developed. It is equipped with an autopilot system. After loading the flight plan, no ground communications are needed from take off to landing. The fly altitude can reach 100m above the ground. DRELIO can operate in windy conditions up to 50km/h and it is able to make stationary flights. A reflex camera with high quality interchangeable optics is onboard. Depending on the focal length and flying altitude, the resolution of the images varies from 1 to 5cm with a ground coverage of 50 by 75m up to 250 by 375m. Due to specific flight conditions and image acquisitions, a photogrammetric toolbox has been developed. Using stereoscopic images and GPS positioning of reference points on the images, it allows building DEM and an orthorectified image with a spatial resolution better than 5cm. In this study, we present an example of an acquisition realzed on the beach of Porsmillin (French Brittany) and we discuss the precision and accuracy obtained by this method. The DRELIO system, which produces DEM concurrent to LIDARs, appears now to be more flexible and efficient than UAV (Unmanned Aerial Vehicle) helicopters equipped with electric engines, UAV planes and less expensive than LIDAR.\n
\n\n\n\n \n\n \n \n \n \n \n \n Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle.\n \n \n \n \n\n\n \n Berni, J., A., J.; Zarco-Tejada, P., J.; Suárez, L.; Fereres, E.; Suarez, L.; and Fereres, E.\n\n\n \n\n\n\n IEEE Transactions on Geoscience and Remote Sensing, 47(3): 722-738. 2009.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle},\n type = {article},\n year = {2009},\n keywords = {Multispectral,aerial system (UAS),modeling,narrowband,radiative transfer,remote sensing,stress detection,thermal,unmanned,unmanned aerial system (UAS),unmanned aerial vehicles (UAVs).},\n pages = {722-738},\n volume = {47},\n websites = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4781575},\n id = {81a6ef53-ccd9-3eff-a6cf-ea2d35221892},\n created = {2018-07-21T16:18:03.888Z},\n accessed = {2014-09-07},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-25T08:22:09.306Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Berni2009},\n private_publication = {false},\n abstract = {Two critical limitations for using current satellite sensors in real-time crop management are the lack of imagery with optimum spatial and spectral resolutions and an unfavorable re-visit time for most crop stress-detection applications. Alternatives based on manned airborne platforms are lacking due to their high operational costs. A fundamental requirement for providing useful remote sensing products in agriculture is the capacity to combine high spatial resolution and quick turnaround times. Remote sensing sensors placed on unmanned aerial vehicles (UAVs) could fill this gap, providing low-cost approaches to meet the critical requirements of spatial, spectral, and temporal resolutions. This paper demonstrates the ability to generate quantitative remote sensing products by means of a helicopter-based UAV equipped with inexpensive thermal and narrowband multispectral imaging sensors. During summer of 2007, the platform was flown over agricultural fields, obtaining thermal imagery in the 7.5�13-?m region (40-cm resolution) and narrowband multispectral imagery in the 400�800-nm spectral region (20-cm resolution). Surface reflectance and temperature imagery were obtained, after atmospheric corrections with MODTRAN. Biophysical parameters were estimated using vegetation indices, namely, normalized difference vegetation index, transformed chlorophyll absorption in reflectance index/optimized soil-adjusted vegetation index, and photochemical reflectance index (PRI), coupled with SAILH and FLIGHT models. As a result, the image products of leaf area index, chlorophyll content (Cab ), and water stress detection from PRI index and canopy temperature were produced and successfully validated. This paper demonstrates that results obtained with a low-cost UAV system for agricultural applications yielded comparable estimations, if not better, than those obtained by traditional manned airborne sensors.},\n bibtype = {article},\n author = {Berni, J. A. J. and Zarco-Tejada, P. J. and Suárez, L. and Fereres, E. and Suarez, L. and Fereres, E.},\n doi = {10.1109/TGRS.2008.2010457},\n journal = {IEEE Transactions on Geoscience and Remote Sensing},\n number = {3}\n}\n\n Two critical limitations for using current satellite sensors in real-time crop management are the lack of imagery with optimum spatial and spectral resolutions and an unfavorable re-visit time for most crop stress-detection applications. Alternatives based on manned airborne platforms are lacking due to their high operational costs. A fundamental requirement for providing useful remote sensing products in agriculture is the capacity to combine high spatial resolution and quick turnaround times. Remote sensing sensors placed on unmanned aerial vehicles (UAVs) could fill this gap, providing low-cost approaches to meet the critical requirements of spatial, spectral, and temporal resolutions. This paper demonstrates the ability to generate quantitative remote sensing products by means of a helicopter-based UAV equipped with inexpensive thermal and narrowband multispectral imaging sensors. During summer of 2007, the platform was flown over agricultural fields, obtaining thermal imagery in the 7.5�13-?m region (40-cm resolution) and narrowband multispectral imagery in the 400�800-nm spectral region (20-cm resolution). Surface reflectance and temperature imagery were obtained, after atmospheric corrections with MODTRAN. Biophysical parameters were estimated using vegetation indices, namely, normalized difference vegetation index, transformed chlorophyll absorption in reflectance index/optimized soil-adjusted vegetation index, and photochemical reflectance index (PRI), coupled with SAILH and FLIGHT models. As a result, the image products of leaf area index, chlorophyll content (Cab ), and water stress detection from PRI index and canopy temperature were produced and successfully validated. This paper demonstrates that results obtained with a low-cost UAV system for agricultural applications yielded comparable estimations, if not better, than those obtained by traditional manned airborne sensors.\n
\n\n\n\n \n\n \n \n \n \n \n \n High spatial resolution data acquisition for the geosciences: kite aerial photography.\n \n \n \n \n\n\n \n Smith, J.; Chandler, J.; and Rose, J.\n\n\n \n\n\n\n Earth Surface Processes and Landforms, 34: 155-161. 2009.\n \n\n\n\n
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\n\n\n@article{\n title = {High spatial resolution data acquisition for the geosciences: kite aerial photography},\n type = {article},\n year = {2009},\n keywords = {GB Physical geography,GE Environmental Sciences},\n pages = {155-161},\n volume = {34},\n websites = {http://www3.interscience.wiley.com/journal/121517813/abstract},\n id = {a47d1c08-72aa-3840-b659-015097d66bb6},\n created = {2018-07-23T13:44:53.346Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.735Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Smith2009a},\n private_publication = {false},\n abstract = {Riverbank retreat along a bend of the Cecina River, Tuscany (central Italy) was monitored across a near annual cycle (autumn 2003 to summer 2004) with the aim of better understanding the factors influencing bank changes and processes at a seasonal scale. Seven flow events occurred during the period of investigation, with the largest having an estimated return period of about 1·5 years. Bank simulations were performed by linking hydrodynamic, fluvial erosion, groundwater flow and bank stability models, for the seven flow events, which are representative of the typical range of hydrographs that normally occur during an annual cycle. The simulations allowed identification of (i) the time of onset and cessation of mass failure and fluvial erosion episodes, (ii) the contributions to total bank retreat made by specific fluvial erosion and mass-wasting processes, and (iii) the causes of retreat. The results show that the occurrence of bank erosion processes (fluvial erosion, slide failure, cantilever failure) and their relative dominance differ significantly for each event, depending on seasonal hydrological conditions and initial bank geometry. Due to the specific planimetric configuration of the study bend, which steers the core of high velocity fluid away from the bank at higher flow discharges, fluvial erosion tends to occur during particular phases of the hydrograph. As a result fluvial erosion is ineffective at higher peak discharges, and depends more on the duration of more moderate discharges. Slide failures appear to be closely related to the magnitude of peak river stages, typically occurring in close proximity to the peak phase (preferentially during the falling limb, but in some cases even before the peak), while cantilever failures more typically occur in the late phase of the flow hydrograph, when they may be induced by the cumulative effects of any fluvial erosion.},\n bibtype = {article},\n author = {Smith, J.S. and Chandler, J. and Rose, J.},\n doi = {10.1002/esp},\n journal = {Earth Surface Processes and Landforms}\n}\n\n Riverbank retreat along a bend of the Cecina River, Tuscany (central Italy) was monitored across a near annual cycle (autumn 2003 to summer 2004) with the aim of better understanding the factors influencing bank changes and processes at a seasonal scale. Seven flow events occurred during the period of investigation, with the largest having an estimated return period of about 1·5 years. Bank simulations were performed by linking hydrodynamic, fluvial erosion, groundwater flow and bank stability models, for the seven flow events, which are representative of the typical range of hydrographs that normally occur during an annual cycle. The simulations allowed identification of (i) the time of onset and cessation of mass failure and fluvial erosion episodes, (ii) the contributions to total bank retreat made by specific fluvial erosion and mass-wasting processes, and (iii) the causes of retreat. The results show that the occurrence of bank erosion processes (fluvial erosion, slide failure, cantilever failure) and their relative dominance differ significantly for each event, depending on seasonal hydrological conditions and initial bank geometry. Due to the specific planimetric configuration of the study bend, which steers the core of high velocity fluid away from the bank at higher flow discharges, fluvial erosion tends to occur during particular phases of the hydrograph. As a result fluvial erosion is ineffective at higher peak discharges, and depends more on the duration of more moderate discharges. Slide failures appear to be closely related to the magnitude of peak river stages, typically occurring in close proximity to the peak phase (preferentially during the falling limb, but in some cases even before the peak), while cantilever failures more typically occur in the late phase of the flow hydrograph, when they may be induced by the cumulative effects of any fluvial erosion.\n
\n\n\n\n \n\n \n \n \n \n \n High spatial resolution data acquisition for the geosciences: Kite aerial photography.\n \n \n \n\n\n \n Smith, M., J.; Chandler, J.; and Rose, J.\n\n\n \n\n\n\n Earth Surface Processes and Landforms, 34(1): 155-161. 2009.\n \n\n\n\n
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\n\n\n@article{\n title = {High spatial resolution data acquisition for the geosciences: Kite aerial photography},\n type = {article},\n year = {2009},\n keywords = {Aerial,DEM,Digital,Kite,Mapping,Photogrammetry},\n pages = {155-161},\n volume = {34},\n id = {1b1b3265-49cd-3820-b3a0-a4d8b01ea8b0},\n created = {2018-07-23T13:44:53.358Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-09-14T15:34:15.614Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Smith2009},\n private_publication = {false},\n abstract = {This paper highlights the requirement for very high resolution (<0·25 m) elevation data for quantitative and qualitative morphometric analyses. Traditional techniques for high resolution data capture (e.g. airborne, heliborne) are prohibitively expensive for small studies and therefore a kite-based platform was developed, in conjunction with a consumer nonmetric digital camera, for data capture. The combination of kite and digital camera is more generally termed kite aerial photography (KAP). The accuracy of data derived by digital photogrammetry and imagery acquired using a kite based non-metric camera is assessed by three experiments: one on smooth terrain, one on tor terrain and one on a glaciofluvial esker. Ground control targets were surveyed at all three sites, with the imagery subsequently processed using the Leica Photogrammetry Suite. The results demonstrate that the method can extract a high number of sampling points at high accuracy, provided that there is suitable image texture across the site. However, final judgment concerning the suitability of derived data is dependent upon an understanding of measurement variability and user quantification of acceptable accuracy.},\n bibtype = {article},\n author = {Smith, Mike J. and Chandler, Jim and Rose, James},\n doi = {10.1002/esp.1702},\n journal = {Earth Surface Processes and Landforms},\n number = {1}\n}\n\n This paper highlights the requirement for very high resolution (<0·25 m) elevation data for quantitative and qualitative morphometric analyses. Traditional techniques for high resolution data capture (e.g. airborne, heliborne) are prohibitively expensive for small studies and therefore a kite-based platform was developed, in conjunction with a consumer nonmetric digital camera, for data capture. The combination of kite and digital camera is more generally termed kite aerial photography (KAP). The accuracy of data derived by digital photogrammetry and imagery acquired using a kite based non-metric camera is assessed by three experiments: one on smooth terrain, one on tor terrain and one on a glaciofluvial esker. Ground control targets were surveyed at all three sites, with the imagery subsequently processed using the Leica Photogrammetry Suite. The results demonstrate that the method can extract a high number of sampling points at high accuracy, provided that there is suitable image texture across the site. However, final judgment concerning the suitability of derived data is dependent upon an understanding of measurement variability and user quantification of acceptable accuracy.\n
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\n \n \n\n \n \n \n \n \n \n On unmanned aircraft systems issues, challenges and operational restrictions preventing integration into the National Airspace System.\n \n \n \n \n\n\n \n Dalamagkidis, K.; Valavanis, K.; and Piegl, L.\n\n\n \n\n\n\n Progress in Aerospace Sciences, 44(7-8): 503-519. 10 2008.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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\n\n\n\n@article{\n title = {On unmanned aircraft systems issues, challenges and operational restrictions preventing integration into the National Airspace System},\n type = {article},\n year = {2008},\n pages = {503-519},\n volume = {44},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0376042108000729},\n month = {10},\n id = {b9466941-6430-3f72-ac6a-7ce81af219c8},\n created = {2018-07-21T13:04:01.138Z},\n accessed = {2014-08-21},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.748Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Dalamagkidis2008},\n private_publication = {false},\n bibtype = {article},\n author = {Dalamagkidis, K. and Valavanis, K.P. and Piegl, L.a.},\n doi = {10.1016/j.paerosci.2008.08.001},\n journal = {Progress in Aerospace Sciences},\n number = {7-8}\n}\n\n \n\n \n \n \n \n \n \n The photogrammetric potential of low-cost UAVs in forestry and agriculture.\n \n \n \n \n\n\n \n Grenzdörffer, G.; Engel, A.; and Teichert, B.\n\n\n \n\n\n\n … Archives of the Photogrammetry, …. 2008.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n\n@article{\n title = {The photogrammetric potential of low-cost UAVs in forestry and agriculture},\n type = {article},\n year = {2008},\n keywords = {abstract,accuracy assessment,aerial surveys uavs are,agriculture,as a result micro-uav,below 5 kg are,carriers for agricultural and,compared to standard airborne,current and accurate geo-information,digital airborne imaging systems,forestry,forestry applications,interesting alternative,micro-uavs,much more flexible and,surveys will pave the,uav,unmanned-airborne-vehicles or drones,way for affordable,weather independent,with a total weight},\n websites = {http://www.isprs.org/proceedings/XXXVII/congress/1_pdf/206.pdf},\n id = {0f8f0f1a-7977-308c-ae7e-acb55b900852},\n created = {2018-07-21T16:17:58.299Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-23T13:44:56.959Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Grenzdorffer2008},\n private_publication = {false},\n bibtype = {article},\n author = {Grenzdörffer, GJ and Engel, A and Teichert, B},\n journal = {… Archives of the Photogrammetry, …}\n}\n\n \n\n \n \n \n \n \n \n On unmanned aircraft systems issues, challenges and operational restrictions preventing integration into the National Airspace System.\n \n \n \n \n\n\n \n Dalamagkidis, K.; Valavanis, K.; and Piegl, L.\n\n\n \n\n\n\n Progress in Aerospace Sciences, 44(7-8): 503-519. 10 2008.\n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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\n\n\n\n@article{\n title = {On unmanned aircraft systems issues, challenges and operational restrictions preventing integration into the National Airspace System},\n type = {article},\n year = {2008},\n pages = {503-519},\n volume = {44},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0376042108000729},\n month = {10},\n id = {1216aacd-d7e0-3d09-8c44-15314503a615},\n created = {2018-07-21T16:18:02.416Z},\n accessed = {2014-08-21},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.416Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Dalamagkidis2008},\n private_publication = {false},\n bibtype = {article},\n author = {Dalamagkidis, K. and Valavanis, K.P. and Piegl, L.a.},\n doi = {10.1016/j.paerosci.2008.08.001},\n journal = {Progress in Aerospace Sciences},\n number = {7-8}\n}\n\n \n\n \n \n \n \n \n \n The Photogrammetric Potential of Low-Cost UAVs in Forestry and Agriculture.\n \n \n \n \n\n\n \n Grenzdörffer, G., J.; Engel, A.; and Teichert, B.\n\n\n \n\n\n\n In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, volume 31, pages 1207-2014, 2008. \n \n\n\n\n
\n\n\n\n \n \nWebsite\n \n \n\n \n \n doi\n \n \n\n \n link\n \n \n\n bibtex\n \n\n \n \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@inproceedings{\n title = {The Photogrammetric Potential of Low-Cost UAVs in Forestry and Agriculture},\n type = {inproceedings},\n year = {2008},\n keywords = {Accuracy assessment,Agriculture,Digital airborne imaging systems,Forestry,UAV},\n pages = {1207-2014},\n volume = {31},\n issue = {B3},\n websites = {http://www.isprs.org/proceedings/XXXVII/congress/1_pdf/206.pdf},\n id = {764a594f-8a0e-3a4b-8eb1-302090e3e164},\n created = {2018-07-21T16:18:02.468Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-25T08:22:09.407Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Grenzdorffer2008},\n private_publication = {false},\n abstract = {Micro-UAVs (Unmanned-Airborne-Vehicles or drones) with a total weight below 5 kg are interesting alternative carriers for agricultural and forestry applications. Compared to standard airborne aerial surveys UAVs are much more flexible and weather independent. As a result micro-UAV surveys will pave the way for affordable, current and accurate geo-information. Practical tests with two different systems at several locations revealed that both systems were capable of acquiring images in a systematic manner. However the necessary post processing effort in order to obtain photogrammetric products suitable for a GIS was quite high. The photogrammetric potential for direct georeferencing of micro-UAVs is quite high, but until now has not been fully exploited. This is primarily due to the fact that the manufacturers of UAVs are not aware and familiar with the special requirements of photogrammmetry and GIS data acquisition, e.g. metric cameras, systematic aerial surveys, precise values of the exterior orientation.},\n bibtype = {inproceedings},\n author = {Grenzdörffer, G J and Engel, A and Teichert, B},\n doi = {10.2747/1548-1603.41.4.287},\n booktitle = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII}\n}\n\n Micro-UAVs (Unmanned-Airborne-Vehicles or drones) with a total weight below 5 kg are interesting alternative carriers for agricultural and forestry applications. Compared to standard airborne aerial surveys UAVs are much more flexible and weather independent. As a result micro-UAV surveys will pave the way for affordable, current and accurate geo-information. Practical tests with two different systems at several locations revealed that both systems were capable of acquiring images in a systematic manner. However the necessary post processing effort in order to obtain photogrammetric products suitable for a GIS was quite high. The photogrammetric potential for direct georeferencing of micro-UAVs is quite high, but until now has not been fully exploited. This is primarily due to the fact that the manufacturers of UAVs are not aware and familiar with the special requirements of photogrammmetry and GIS data acquisition, e.g. metric cameras, systematic aerial surveys, precise values of the exterior orientation.\n
\n\n\n\n \n\n \n \n \n \n \n \n The use of unmanned aerial vehicles (UAVs) for remote sensing and mapping.\n \n \n \n \n\n\n \n Everaerts, J.\n\n\n \n\n\n\n … Archives of the Photogrammetry, Remote Sensing and …,1187-1192. 2008.\n \n\n\n\n
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\n\n\n\n@article{\n title = {The use of unmanned aerial vehicles (UAVs) for remote sensing and mapping},\n type = {article},\n year = {2008},\n keywords = {multisensor,platforms,research,technology,unmanned},\n pages = {1187-1192},\n websites = {http://www.isprs.org/proceedings/XXXVII/congress/1_pdf/203.pdf},\n id = {b1a0f615-7763-39c3-a883-fd5c4b8e8ca5},\n created = {2018-07-21T16:18:04.839Z},\n accessed = {2014-09-07},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.839Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Everaerts2008},\n private_publication = {false},\n bibtype = {article},\n author = {Everaerts, J},\n journal = {… Archives of the Photogrammetry, Remote Sensing and …}\n}\n\n \n\n \n \n \n \n \n \n Controls on coastal dune morphology, shoreline erosion and barrier island response to extreme storms.\n \n \n \n \n\n\n \n Houser, C.; Hapke, C.; and Hamilton, S.\n\n\n \n\n\n\n Geomorphology, 100(3-4): 223-240. 8 2008.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Controls on coastal dune morphology, shoreline erosion and barrier island response to extreme storms},\n type = {article},\n year = {2008},\n keywords = {barrier island,dune morphology,hurricane ivan,lidar,overwash,shoreline erosion},\n pages = {223-240},\n volume = {100},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0169555X08000020},\n month = {8},\n id = {2e34f2a0-4519-34b3-8fdc-59ca714eae9e},\n created = {2018-07-21T16:18:05.197Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:05.197Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Houser2008},\n private_publication = {false},\n bibtype = {article},\n author = {Houser, Chris and Hapke, Cheryl and Hamilton, Stuart},\n doi = {10.1016/j.geomorph.2007.12.007},\n journal = {Geomorphology},\n number = {3-4}\n}\n\n
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\n \n \n\n \n \n \n \n \n \n Very high spatial resolution imagery for channel bathymetry and topography from an unmanned mapping controlled platform.\n \n \n \n \n\n\n \n Lejot, J.; Delacourt, C.; Piégay, H.; Fournier, T.; Trémélo, M.; and Allemand, P.\n\n\n \n\n\n\n Earth Surface Processes and Landforms, 32(11): 1705-1725. 2007.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Very high spatial resolution imagery for channel bathymetry and topography from an unmanned mapping controlled platform},\n type = {article},\n year = {2007},\n keywords = {aerial photography,channel geometry,digital elevation model,drone,gravel bar,photogrammetry,received 27 october 2006,revised 1 february 2007,very high resolution},\n pages = {1705-1725},\n volume = {32},\n websites = {http://doi.wiley.com/10.1002/esp.1595,papers2://publication/doi/10.1002/esp.1595},\n day = {1},\n id = {406818f3-accf-3395-882c-29f47c6a528f},\n created = {2018-07-21T16:18:04.963Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.963Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Lejot2007},\n source_type = {JOUR},\n private_publication = {false},\n bibtype = {article},\n author = {Lejot, J and Delacourt, C and Piégay, H and Fournier, T and Trémélo, M-L and Allemand, P},\n doi = {10.1002/esp},\n journal = {Earth Surface Processes and Landforms},\n number = {11}\n}\n\n \n\n \n \n \n \n \n \n A casualty risk analysis for unmanned aerial system (UAS) operations over inhabited areas.\n \n \n \n \n\n\n \n Clothier, R.; Walker, R.; Fulton, N.; and Campbell, D.\n\n\n \n\n\n\n Second Australasian Unmanned Air Vehicle Conference,1-15. 2007.\n \n\n\n\n
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\n\n\n@article{\n title = {A casualty risk analysis for unmanned aerial system (UAS) operations over inhabited areas},\n type = {article},\n year = {2007},\n keywords = {UAV UAS Risk Safety},\n pages = {1-15},\n websites = {http://eprints.qut.edu.au/6822,papers2://publication/uuid/FB044BDC-D624-4B2B-A3AE-FC8042EF641D},\n day = {1},\n id = {247d18bd-9f25-3833-9fc4-eca022856870},\n created = {2018-07-23T13:44:53.253Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-25T08:22:09.279Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Clothier2007},\n source_type = {JOUR},\n private_publication = {false},\n abstract = {This paper discusses the need for informed decision making with respect to the management of the risks Unmanned Aerial System (UAS) operations present to people and property on the ground. In the absence of a wealth of experience in the hazards of UAS operations, an understanding of the risks can be gained through a formal risk analysis. This paper proposes the development of new risk analysis tools as a means for ensuring risk-informed decision making. The paper provides an introduction to the risk management of UAS operations over inhabited areas and presents an argument which establishes the need for an objective understanding of the risks. The development of formal risk analysis tools is then discussed. A simple casualty expectation model is presented and is applied to the example case-study scenario of a generic medium Altitude, Long Endurance (MALE) UAS on approach to Royal Australia Air Force (RAAF) Base Edinburgh. A brief evaluation of the results from the analysis is provided; illustrating how a formal risk analysis can be used to inform practical decision making. The paper concludes by providing a summary on the direction of the program of research and the key points made.},\n bibtype = {article},\n author = {Clothier, Reece and Walker, Rodney and Fulton, Neale and Campbell, Duncan},\n journal = {Second Australasian Unmanned Air Vehicle Conference}\n}\n\n This paper discusses the need for informed decision making with respect to the management of the risks Unmanned Aerial System (UAS) operations present to people and property on the ground. In the absence of a wealth of experience in the hazards of UAS operations, an understanding of the risks can be gained through a formal risk analysis. This paper proposes the development of new risk analysis tools as a means for ensuring risk-informed decision making. The paper provides an introduction to the risk management of UAS operations over inhabited areas and presents an argument which establishes the need for an objective understanding of the risks. The development of formal risk analysis tools is then discussed. A simple casualty expectation model is presented and is applied to the example case-study scenario of a generic medium Altitude, Long Endurance (MALE) UAS on approach to Royal Australia Air Force (RAAF) Base Edinburgh. A brief evaluation of the results from the analysis is provided; illustrating how a formal risk analysis can be used to inform practical decision making. The paper concludes by providing a summary on the direction of the program of research and the key points made.\n
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\n\n \n \n 2004\n \n \n (1)\n \n \n
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\n \n \n\n \n \n \n \n \n \n High Spatial Resolution Remotely Sensed Data for Ecosystem Characterization.\n \n \n \n \n\n\n \n Wulder, M., a.; Hall, R., J.; Coops, N., C.; and Franklin, S., E.\n\n\n \n\n\n\n BioScience, 54(6): 511. 2004.\n \n\n\n\n
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\n\n\n\n@article{\n title = {High Spatial Resolution Remotely Sensed Data for Ecosystem Characterization},\n type = {article},\n year = {2004},\n keywords = {biodiversity,forest ecology,general ecology,landscape ecology,remote sensing},\n pages = {511},\n volume = {54},\n websites = {http://bioscience.oxfordjournals.org/cgi/doi/10.1641/0006-3568(2004)054[0511:HSRRSD]2.0.CO;2},\n id = {e9733d8b-d5f3-3d7c-ae79-29e5c2231682},\n created = {2018-07-21T16:18:05.271Z},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:05.271Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Wulder2004},\n private_publication = {false},\n bibtype = {article},\n author = {Wulder, Michael a. and Hall, Ronald J. and Coops, Nicholas C. and Franklin, Steven E.},\n doi = {10.1641/0006-3568(2004)054[0511:HSRRSD]2.0.CO;2},\n journal = {BioScience},\n number = {6}\n}\n\n
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\n \n \n\n \n \n \n \n \n \n Platform options of free-flying satellites, UAVs or the International Space Station for remote sensing assessment of the littoral zone.\n \n \n \n \n\n\n \n Peterson, D., L.; Brass, J., a.; Smith, W., H.; Langford, G.; Wegener, S.; Dunagan, S.; Hammer, P.; and Snook, K.\n\n\n \n\n\n\n International Journal of Remote Sensing, 24(13): 2785-2804. 1 2003.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Platform options of free-flying satellites, UAVs or the International Space Station for remote sensing assessment of the littoral zone},\n type = {article},\n year = {2003},\n pages = {2785-2804},\n volume = {24},\n websites = {http://www.tandfonline.com/doi/abs/10.1080/0143116031000066963},\n month = {1},\n id = {2b22bc59-a2a1-396a-8435-9cdac9b4d8ba},\n created = {2018-07-21T16:18:02.106Z},\n accessed = {2014-08-25},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:02.106Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Peterson2003},\n private_publication = {false},\n bibtype = {article},\n author = {Peterson, David L. and Brass, James a. and Smith, William H. and Langford, Gary and Wegener, Steven and Dunagan, Stephen and Hammer, Philip and Snook, Kelly},\n doi = {10.1080/0143116031000066963},\n journal = {International Journal of Remote Sensing},\n number = {13}\n}\n\n \n\n \n \n \n \n \n \n Remote sensing of the coastal zone: An overview and priorities for future research.\n \n \n \n \n\n\n \n Malthus, T., J.; and Mumby, P., J.\n\n\n \n\n\n\n International Journal of Remote Sensing, 24(13): 2805-2815. 1 2003.\n \n\n\n\n
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\n\n\n\n@article{\n title = {Remote sensing of the coastal zone: An overview and priorities for future research},\n type = {article},\n year = {2003},\n pages = {2805-2815},\n volume = {24},\n websites = {http://www.tandfonline.com/doi/abs/10.1080/0143116031000066954},\n month = {1},\n id = {d6470e9e-536b-3acb-8d4f-99900ade5a62},\n created = {2018-07-21T16:18:04.063Z},\n accessed = {2014-08-12},\n file_attached = {false},\n profile_id = {58d47d98-a4f4-3ac1-a79d-2d252a797376},\n group_id = {062f89ba-ad8a-3bf8-8d86-7a3bb43ed2a5},\n last_modified = {2018-07-21T16:18:04.063Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Malthus2003},\n private_publication = {false},\n bibtype = {article},\n author = {Malthus, Tim J. and Mumby, Peter J.},\n doi = {10.1080/0143116031000066954},\n journal = {International Journal of Remote Sensing},\n number = {13}\n}\n