Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces. Lausch, A., Schaepman, M. E., Skidmore, A. K., Truckenbrodt, S. C., Hacker, J. M., Baade, J., Bannehr, L., Borg, E., Bumberger, J., Dietrich, P., Gläßer, C., Haase, D., Heurich, M., Jagdhuber, T., Jany, S., Krönert, R., Möller, M., Mollenhauer, H., Montzka, C., Pause, M., Rogass, C., Salepci, N., Schmullius, C., Schrodt, F., Schütze, C., Schweitzer, C., Selsam, P., Spengler, D., Vohland, M., Volk, M., Weber, U., Wellmann, T., Werban, U., Zacharias, S., & Thiel, C. Remote Sensing, 12(22):3690, November, 2020. ![Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex The status, changes, and disturbances in geomorphological regimes can be regarded as controlling and regulating factors for biodiversity. Therefore, monitoring geomorphology at local, regional, and global scales is not only necessary to conserve geodiversity, but also to preserve biodiversity, as well as to improve biodiversity conservation and ecosystem management. Numerous remote sensing (RS) approaches and platforms have been used in the past to enable a cost-effective, increasingly freely available, comprehensive, repetitive, standardized, and objective monitoring of geomorphological characteristics and their traits. This contribution provides a state-of-the-art review for the RS-based monitoring of these characteristics and traits, by presenting examples of aeolian, fluvial, and coastal landforms. Different examples for monitoring geomorphology as a crucial discipline of geodiversity using RS are provided, discussing the implementation of RS technologies such as LiDAR, RADAR, as well as multi-spectral and hyperspectral sensor technologies. Furthermore, data products and RS technologies that could be used in the future for monitoring geomorphology are introduced. The use of spectral traits (ST) and spectral trait variation (STV) approaches with RS enable the status, changes, and disturbances of geomorphic diversity to be monitored. We focus on the requirements for future geomorphology monitoring specifically aimed at overcoming some key limitations of ecological modeling, namely: the implementation and linking of in-situ, close-range, air- and spaceborne RS technologies, geomorphic traits, and data science approaches as crucial components for a better understanding of the geomorphic impacts on complex ecosystems. This paper aims to impart multidimensional geomorphic information obtained by RS for improved utilization in biodiversity monitoring.
@article{lausch_linking_2020,
title = {Linking the {Remote} {Sensing} of {Geodiversity} and {Traits} {Relevant} to {Biodiversity}—{Part} {II}: {Geomorphology}, {Terrain} and {Surfaces}},
volume = {12},
issn = {2072-4292},
shorttitle = {Linking the {Remote} {Sensing} of {Geodiversity} and {Traits} {Relevant} to {Biodiversity}—{Part} {II}},
url = {https://www.mdpi.com/2072-4292/12/22/3690},
doi = {10.3390/rs12223690},
abstract = {The status, changes, and disturbances in geomorphological regimes can be regarded as controlling and regulating factors for biodiversity. Therefore, monitoring geomorphology at local, regional, and global scales is not only necessary to conserve geodiversity, but also to preserve biodiversity, as well as to improve biodiversity conservation and ecosystem management. Numerous remote sensing (RS) approaches and platforms have been used in the past to enable a cost-effective, increasingly freely available, comprehensive, repetitive, standardized, and objective monitoring of geomorphological characteristics and their traits. This contribution provides a state-of-the-art review for the RS-based monitoring of these characteristics and traits, by presenting examples of aeolian, fluvial, and coastal landforms. Different examples for monitoring geomorphology as a crucial discipline of geodiversity using RS are provided, discussing the implementation of RS technologies such as LiDAR, RADAR, as well as multi-spectral and hyperspectral sensor technologies. Furthermore, data products and RS technologies that could be used in the future for monitoring geomorphology are introduced. The use of spectral traits (ST) and spectral trait variation (STV) approaches with RS enable the status, changes, and disturbances of geomorphic diversity to be monitored. We focus on the requirements for future geomorphology monitoring specifically aimed at overcoming some key limitations of ecological modeling, namely: the implementation and linking of in-situ, close-range, air- and spaceborne RS technologies, geomorphic traits, and data science approaches as crucial components for a better understanding of the geomorphic impacts on complex ecosystems. This paper aims to impart multidimensional geomorphic information obtained by RS for improved utilization in biodiversity monitoring.},
language = {en},
number = {22},
urldate = {2022-11-02},
journal = {Remote Sensing},
author = {Lausch, Angela and Schaepman, Michael E. and Skidmore, Andrew K. and Truckenbrodt, Sina C. and Hacker, Jörg M. and Baade, Jussi and Bannehr, Lutz and Borg, Erik and Bumberger, Jan and Dietrich, Peter and Gläßer, Cornelia and Haase, Dagmar and Heurich, Marco and Jagdhuber, Thomas and Jany, Sven and Krönert, Rudolf and Möller, Markus and Mollenhauer, Hannes and Montzka, Carsten and Pause, Marion and Rogass, Christian and Salepci, Nesrin and Schmullius, Christiane and Schrodt, Franziska and Schütze, Claudia and Schweitzer, Christian and Selsam, Peter and Spengler, Daniel and Vohland, Michael and Volk, Martin and Weber, Ute and Wellmann, Thilo and Werban, Ulrike and Zacharias, Steffen and Thiel, Christian},
month = nov,
year = {2020},
pages = {3690},
}
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