@article{hladik_accuracy_2012,
	title = {Accuracy assessment and correction of a {LIDAR}-derived salt marsh digital elevation model},
	abstract = {Accurate habitat mapping in salt marshes is critical for both management and conservation goals.  Information on marsh elevation is important to coastal managers, particularly for flood inundation mapping, coastal hazard assessments and modeling sea level rise.  Elevation is also an important determinant of the frequency and duration of tidal flooding, which in turn affects species patterns in marshes: elevation differences of less than 10 cm can affect plant distributions and productivity.  Light Detection and Ranging (LIDAR) can provide synoptic elevation information in many environments, but its accuracy in salt marshes is limited by a combination of sensor resolution, instrument errors, and poor laser penetration in dense vegetation.  This means that uncorrected digital elevation models (DEM) are generally not accurate enough to distinguish elevation changes in salt marsh environments at the resolution that can be used to determine tidal flooding or vegetation patterns.  In this study, we used a LIDAR-derived DEM for the salt marshes surrounding Sapelo Island, GA obtained with a state-of- the- art Optech Gemini ALTM LIDAR system with a high laser pulse rate frequency of 125 kHz and evaluated its accuracy with elevations collected using real time kinematic (RTK) GPS.  We found that LIDAR offsets for different cover classes ranged from 0.03 to 0.25 m in comparison to the RTK ground truth data, with the larger offsets for taller vegetation.  We developed species-specific correction factors for ten cover classes and used these correction factors to modify the LIDAR-derived DEMs in four test areas of the study domain.  Application of the derived correction factors greatly improved the accuracy of the LIDAR DEM, reducing the overall mean LIDAR error from 0.10},
	journal = {Remote Sensing of Enivornment},
	author = {Hladik, Christine M. and Alber, Merryl.},
	year = {2012},
	keywords = {GCE, remote sensing, salt marsh, lidar, dem}
}

{"_id":"gn8Z5a7qfbMF2CHdE","bibbaseid":"hladik-alber-accuracyassessmentandcorrectionofalidarderivedsaltmarshdigitalelevationmodel-2012","downloads":0,"creationDate":"2018-01-22T16:01:13.034Z","title":"Accuracy assessment and correction of a LIDAR-derived salt marsh digital elevation model","author_short":["Hladik, C. M.","Alber, M."],"year":2012,"bibtype":"article","biburl":"https://utexas.box.com/shared/static/zu6wjvi2axvnvyb14tqb7thj0injl6kg.bib","bibdata":{"bibtype":"article","type":"article","title":"Accuracy assessment and correction of a LIDAR-derived salt marsh digital elevation model","abstract":"Accurate habitat mapping in salt marshes is critical for both management and conservation goals. Information on marsh elevation is important to coastal managers, particularly for flood inundation mapping, coastal hazard assessments and modeling sea level rise. Elevation is also an important determinant of the frequency and duration of tidal flooding, which in turn affects species patterns in marshes: elevation differences of less than 10 cm can affect plant distributions and productivity. Light Detection and Ranging (LIDAR) can provide synoptic elevation information in many environments, but its accuracy in salt marshes is limited by a combination of sensor resolution, instrument errors, and poor laser penetration in dense vegetation. This means that uncorrected digital elevation models (DEM) are generally not accurate enough to distinguish elevation changes in salt marsh environments at the resolution that can be used to determine tidal flooding or vegetation patterns. In this study, we used a LIDAR-derived DEM for the salt marshes surrounding Sapelo Island, GA obtained with a state-of- the- art Optech Gemini ALTM LIDAR system with a high laser pulse rate frequency of 125 kHz and evaluated its accuracy with elevations collected using real time kinematic (RTK) GPS. We found that LIDAR offsets for different cover classes ranged from 0.03 to 0.25 m in comparison to the RTK ground truth data, with the larger offsets for taller vegetation. We developed species-specific correction factors for ten cover classes and used these correction factors to modify the LIDAR-derived DEMs in four test areas of the study domain. Application of the derived correction factors greatly improved the accuracy of the LIDAR DEM, reducing the overall mean LIDAR error from 0.10","journal":"Remote Sensing of Enivornment","author":[{"propositions":[],"lastnames":["Hladik"],"firstnames":["Christine","M."],"suffixes":[]},{"propositions":[],"lastnames":["Alber"],"firstnames":["Merryl."],"suffixes":[]}],"year":"2012","keywords":"GCE, remote sensing, salt marsh, lidar, dem","bibtex":"@article{hladik_accuracy_2012,\n\ttitle = {Accuracy assessment and correction of a {LIDAR}-derived salt marsh digital elevation model},\n\tabstract = {Accurate habitat mapping in salt marshes is critical for both management and conservation goals. Information on marsh elevation is important to coastal managers, particularly for flood inundation mapping, coastal hazard assessments and modeling sea level rise. Elevation is also an important determinant of the frequency and duration of tidal flooding, which in turn affects species patterns in marshes: elevation differences of less than 10 cm can affect plant distributions and productivity. Light Detection and Ranging (LIDAR) can provide synoptic elevation information in many environments, but its accuracy in salt marshes is limited by a combination of sensor resolution, instrument errors, and poor laser penetration in dense vegetation. This means that uncorrected digital elevation models (DEM) are generally not accurate enough to distinguish elevation changes in salt marsh environments at the resolution that can be used to determine tidal flooding or vegetation patterns. In this study, we used a LIDAR-derived DEM for the salt marshes surrounding Sapelo Island, GA obtained with a state-of- the- art Optech Gemini ALTM LIDAR system with a high laser pulse rate frequency of 125 kHz and evaluated its accuracy with elevations collected using real time kinematic (RTK) GPS. We found that LIDAR offsets for different cover classes ranged from 0.03 to 0.25 m in comparison to the RTK ground truth data, with the larger offsets for taller vegetation. We developed species-specific correction factors for ten cover classes and used these correction factors to modify the LIDAR-derived DEMs in four test areas of the study domain. Application of the derived correction factors greatly improved the accuracy of the LIDAR DEM, reducing the overall mean LIDAR error from 0.10},\n\tjournal = {Remote Sensing of Enivornment},\n\tauthor = {Hladik, Christine M. and Alber, Merryl.},\n\tyear = {2012},\n\tkeywords = {GCE, remote sensing, salt marsh, lidar, dem}\n}\n\n","author_short":["Hladik, C. M.","Alber, M."],"key":"hladik_accuracy_2012","id":"hladik_accuracy_2012","bibbaseid":"hladik-alber-accuracyassessmentandcorrectionofalidarderivedsaltmarshdigitalelevationmodel-2012","role":"author","urls":{},"keyword":["GCE","remote sensing","salt marsh","lidar","dem"],"downloads":0,"html":""},"search_terms":["accuracy","assessment","correction","lidar","derived","salt","marsh","digital","elevation","model","hladik","alber"],"keywords":["dem","georgia","ground truth","lidar","rtk gps","salt marsh","sapelo","gce","remote sensing"],"authorIDs":[],"dataSources":["QJ3rksNA453pSQSBg"]}