Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces
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 we...
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MDPI AG
2020-11-01
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author | Angela Lausch 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 Christian Thiel |
author_facet | Angela Lausch 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 Christian Thiel |
author_sort | Angela Lausch |
collection | DOAJ |
description | 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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spelling | doaj.art-a0c0a48f579f4f23a484d4eb60bd8ade2023-11-20T20:30:04ZengMDPI AGRemote Sensing2072-42922020-11-011222369010.3390/rs12223690Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and SurfacesAngela Lausch0Michael E. Schaepman1Andrew K. Skidmore2Sina C. Truckenbrodt3Jörg M. Hacker4Jussi Baade5Lutz Bannehr6Erik Borg7Jan Bumberger8Peter Dietrich9Cornelia Gläßer10Dagmar Haase11Marco Heurich12Thomas Jagdhuber13Sven Jany14Rudolf Krönert15Markus Möller16Hannes Mollenhauer17Carsten Montzka18Marion Pause19Christian Rogass20Nesrin Salepci21Christiane Schmullius22Franziska Schrodt23Claudia Schütze24Christian Schweitzer25Peter Selsam26Daniel Spengler27Michael Vohland28Martin Volk29Ute Weber30Thilo Wellmann31Ulrike Werban32Steffen Zacharias33Christian Thiel34Department Computational Landscape Ecology, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyRemote Sensing Laboratories, Department of Geography, and University Research Priority Program on Global Change and Biodiversity, University of Zurich–Irchel, Winterthurerstrasse 190, CH-8057 Zurich, SwitzerlandFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, AE 7500 Enschede, The NetherlandsDepartment for Earth Observation, Institute of Geography, Friedrich Schiller University Jena, Loebdergraben 32, D-07743 Jena, GermanyCollege of Science and Engineering, Flinders University, Adelaide, SA 5000, AustraliaDepartment of Physical Geography, Institute of Geography, Friedrich Schiller University Jena, Loebdergraben 32, D-07743 Jena, GermanyDepartment of Architecture, Facility Management and Geoinformation, Institut for Geoinformation and Surveying, Bauhausstraße 8, D-06846 Dessau, GermanyGerman Remote Sensing Data Center–DFD, German Aerospace Center-DLR, Kalkhorstweg 53, D-17235 Neustrelitz, GermanyDepartment Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyDepartment Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyDepartment of Remote Sensing, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 4, D-06120 Halle, GermanyDepartment Computational Landscape Ecology, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyDepartment of Conservation and Research, Bavarian Forest National Park, Freyunger Straße 2, D-94481 Grafenau, GermanyGerman Aerospace Center (DLR) Microwaves and Radar Institute, Oberpfaffenhofen, D-82234 Wessling, GermanyMILAN Geoservice GmbH, Zum Tower 4, D-01917 Kamenz, GermanyDepartment Computational Landscape Ecology, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyFederal 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, GermanyDepartment Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyForschungszentrum Jülich GmbH, Institute of Bio- and Geoscience, Agrosphere (IBG-3), Wilhelm-Johnen-Str. D-52428 Jülich, GermanyInstitut of Photogrammetry and Remote Sensing, Technical University Dresden, Helmholtzstr. 10, D-01061 Dresden, GermanyDepartment Computational Landscape Ecology, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyDepartment for Earth Observation, Institute of Geography, Friedrich Schiller University Jena, Loebdergraben 32, D-07743 Jena, GermanyDepartment for Earth Observation, Institute of Geography, Friedrich Schiller University Jena, Loebdergraben 32, D-07743 Jena, GermanySchool of Geography, University of Nottingham, University Park, NG7 2RD Nottingham, UKComputational Hydrosystems Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyGerman Environment Agency, Wörlitzer Platz 1, D-06844 Dessau Roßlau, GermanyDepartment Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyHelmholtz Center Potsdam, German Research Center for Geosciences, Telegrafenberg, D-14473 Potsdam, GermanyGeoinformatics and Remote Sensing, Institute for Geography, Leipzig University, Johannisallee 19a, D-04103 Leipzig, GermanyDepartment Computational Landscape Ecology, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyComputational Hydrosystems Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyDepartment Computational Landscape Ecology, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyDepartment Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyDepartment Monitoring and Exploration Technologies, Helmholtz Centre for Environmental Research–UFZ, Permoserstr. 15, D-04318 Leipzig, GermanyDLR Institute of Data Science, Mälzerstraße 3, D-07743 Jena, GermanyThe 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.https://www.mdpi.com/2072-4292/12/22/3690geomorphologyterrainsurfacegeodiversityfluvialaeolian |
spellingShingle | Angela Lausch 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 Christian Thiel Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces Remote Sensing geomorphology terrain surface geodiversity fluvial aeolian |
title | Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces |
title_full | Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces |
title_fullStr | Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces |
title_full_unstemmed | Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces |
title_short | Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces |
title_sort | linking the remote sensing of geodiversity and traits relevant to biodiversity part ii geomorphology terrain and surfaces |
topic | geomorphology terrain surface geodiversity fluvial aeolian |
url | https://www.mdpi.com/2072-4292/12/22/3690 |
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