Linking the Remote Sensing of Geodiversity and Traits Relevant to 
Biodiversity—Part II: Geomorphology, Terrain and Surfaces

Lausch, Angela; Schaepman, Michael E.; Skidmore, Andrew K.; Truckenbrodt, Sina C.; Hacker, Jörg M.; Baade, Jussi; Bannehr, Lutz; Borg, Erik; Bumberger, Jan; Dietrich, Peter; Gläßer, Cornelia; Haase, Dagmar; Heurich, Marco; Jagdhuber, Thomas; Jany, Sven; Krönert, Rudolf; Möller, Markus; Mollenhauer, Hannes; Montzka, Carsten; Pause, Marion; Rogass, Christian; Salepci, Nesrin; Schmullius, Christiane; Schrodt, Franziska; Schütze, Claudia; Schweitzer, Christian; Selsam, Peter; Spengler, Daniel; Vohland, Michael; Volk, Martin; Weber, Ute; Wellmann, Thilo; Werban, Ulrike; Zacharias, Steffen; Thiel, Christian

doi:10.3390/rs12223690

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Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

Authors

Lausch, Angela
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Schaepman, Michael E.
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Skidmore, Andrew K.
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Truckenbrodt, Sina C.
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Hacker, Jörg M.
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Baade, Jussi
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Bannehr, Lutz
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Borg, Erik
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Bumberger, Jan
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Dietrich, Peter
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Gläßer, Cornelia
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Haase, Dagmar
External Organizations;

Heurich, Marco
External Organizations;

Jagdhuber, Thomas
External Organizations;

Jany, Sven
External Organizations;

Krönert, Rudolf
External Organizations;

Möller, Markus
External Organizations;

Mollenhauer, Hannes
External Organizations;

Montzka, Carsten
External Organizations;

Pause, Marion
External Organizations;

Rogass, Christian
External Organizations;

Salepci, Nesrin
External Organizations;

Schmullius, Christiane
External Organizations;

Schrodt, Franziska
External Organizations;

Schütze, Claudia
External Organizations;

Schweitzer, Christian
External Organizations;

Selsam, Peter
External Organizations;

/persons/resource/daniel

Spengler, Daniel
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Vohland, Michael
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Volk, Martin
External Organizations;

Weber, Ute
External Organizations;

Wellmann, Thilo
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Werban, Ulrike
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Zacharias, Steffen
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Thiel, Christian
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Citation

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. (2020): Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces. - Remote Sensing, 12, 22, 3690.
https://doi.org/10.3390/rs12223690

Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5005122

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.