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2020-11-10Zeitschriftenartikel DOI: 10.3390/rs12223690
Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces
Lausch, Angela cc
Schaepman, Michael cc
Skidmore, Andrew cc
Truckenbrodt, Sina C. cc
Hacker, Jörg M.
Baade, Jussi cc
Bannehr, Lutz
Borg, Erik cc
Bumberger, Jan cc
Dietrich, Peter cc
Gläßer, Cornelia
Haase, Dagmar cc
Heurich, Marco cc
Jagdhuber, Thomas cc
Jany, Sven
Krönert, Rudolf
Möller, Markus cc
Mollenhauer, Hannes cc
Montzka, Carsten cc
Pause, Marion cc
Rogass, Christian cc
Salepci, Nesrin
Schmullius, Christiane
Schrodt, Franziska cc
Schütze, Claudia cc
Schweitzer, Christian
Selsam, Peter cc
Spengler, Daniel cc
Vohland, Michael cc
Volk, Martin
Weber, Ute
Wellmann, Thilo cc
Werban, Ulrike cc
Zacharias, Steffen cc
Thiel, Christian cc
Mathematisch-Naturwissenschaftliche Fakultät
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.
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DOI
10.3390/rs12223690
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https://doi.org/10.3390/rs12223690
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<a href="https://doi.org/10.3390/rs12223690">https://doi.org/10.3390/rs12223690</a>