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

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Department Computational Landscape Ecology, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, Germany
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Geography Department, Humboldt University Berlin, Unter den Linden 6, D-10099 Berlin, Germany
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Remote Sensing Laboratories, Department of Geography, and University Research Priority Program on Global Change and Biodiversity, University of Zurich–Irchel, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland
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Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, AE 7500 Enschede, The Netherlands
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Department of Earth and Environmental Science, Macquarie University, Sydney, NSW 2109, Australia
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Department for Earth Observation, Institute of Geography, Friedrich Schiller University Jena, Loebdergraben 32, D-07743 Jena, Germany
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DLR Institute of Data Science, Mälzerstraße 3, D-07743 Jena, Germany
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College of Science and Engineering, Flinders University, Adelaide, SA 5000, Australia
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Airborne Research Australia (ARA), Parafield Airport, Adelaide, SA 5106, Australia
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Department of Physical Geography, Institute of Geography, Friedrich Schiller University Jena, Loebdergraben 32, D-07743 Jena, Germany
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Department of Architecture, Facility Management and Geoinformation, Institut for Geoinformation and Surveying, Bauhausstraße 8, D-06846 Dessau, Germany
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German Remote Sensing Data Center–DFD, German Aerospace Center-DLR, Kalkhorstweg 53, D-17235 Neustrelitz, Germany
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Geodesy and Geoinformatics, University of Applied Sciences Neubrandenburg, Brodaer Strasse 2, D-17033 Neubrandenburg, Germany
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Department Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, Germany
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Department of Remote Sensing, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 4, D-06120 Halle, Germany
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Department of Conservation and Research, Bavarian Forest National Park, Freyunger Straße 2, D-94481 Grafenau, Germany
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Faculty of Environment and Natural Resources, University of Freiburg, Tennenbacher Straße 4, D-79106 Freiburg, Germany
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German Aerospace Center (DLR) Microwaves and Radar Institute, Oberpfaffenhofen, D-82234 Wessling, Germany
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MILAN Geoservice GmbH, Zum Tower 4, D-01917 Kamenz, Germany
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Federal Research Centre for Cultivated Plants, Institute for Crop and Soil Science, Research Centre for Agricultural Remote Sensing (FLF), Julius Kühn Institute (JKI), Bundesallee 69, D-38116 Braunschweig, Germany
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Forschungszentrum Jülich GmbH, Institute of Bio- and Geoscience, Agrosphere (IBG-3), Wilhelm-Johnen-Str. D-52428 Jülich, Germany
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Institut of Photogrammetry and Remote Sensing, Technical University Dresden, Helmholtzstr. 10, D-01061 Dresden, Germany
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School of Geography, University of Nottingham, University Park, NG7 2RD Nottingham, UK
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Computational Hydrosystems Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, Germany
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German Environment Agency, Wörlitzer Platz 1, D-06844 Dessau Roßlau, Germany
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Helmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, D-14473 Potsdam, Germany
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Geoinformatics and Remote Sensing, Institute for Geography, Leipzig University, Johannisallee 19a, D-04103 Leipzig, Germany
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Remote Sensing Centre for Earth System Research, Leipzig University, Talstr. 35, D-04103 Leipzig, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(22), 3690; https://0-doi-org.brum.beds.ac.uk/10.3390/rs12223690
Received: 22 September 2020 / Revised: 1 November 2020 / Accepted: 3 November 2020 / Published: 10 November 2020
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. View Full-Text
Keywords: geomorphology; terrain; surface; geodiversity; fluvial; aeolian; coastal; traits; spectral traits; remote sensing; earth observation; DEM; DTM; DSM; monitoring geomorphology; terrain; surface; geodiversity; fluvial; aeolian; coastal; traits; spectral traits; remote sensing; earth observation; DEM; DTM; DSM; monitoring
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MDPI and ACS Style

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. Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces. Remote Sens. 2020, 12, 3690. https://0-doi-org.brum.beds.ac.uk/10.3390/rs12223690

AMA Style

Lausch A, Schaepman ME, Skidmore AK, Truckenbrodt SC, Hacker JM, 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. Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces. Remote Sensing. 2020; 12(22):3690. https://0-doi-org.brum.beds.ac.uk/10.3390/rs12223690

Chicago/Turabian Style

Lausch, Angela, Michael E. Schaepman, Andrew K. Skidmore, Sina C. Truckenbrodt, Jörg M. Hacker, Jussi Baade, Lutz Bannehr, Erik Borg, Jan Bumberger, Peter Dietrich, Cornelia Gläßer, Dagmar Haase, Marco Heurich, Thomas Jagdhuber, Sven Jany, Rudolf Krönert, Markus Möller, Hannes Mollenhauer, Carsten Montzka, Marion Pause, Christian Rogass, Nesrin Salepci, Christiane Schmullius, Franziska Schrodt, Claudia Schütze, Christian Schweitzer, Peter Selsam, Daniel Spengler, Michael Vohland, Martin Volk, Ute Weber, Thilo Wellmann, Ulrike Werban, Steffen Zacharias, and Christian Thiel. 2020. "Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces" Remote Sensing 12, no. 22: 3690. https://0-doi-org.brum.beds.ac.uk/10.3390/rs12223690

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