TY - JOUR
T1 - Linking the remote sensing of geodiversity and traits relevant to biodiversity-part II
T2 - geomorphology, terrain and surfaces
AU - Lausch, Angela
AU - Schaepman, Michael E.
AU - Skidmore, Andrew K.
AU - Truckenbrodt, Sina C.
AU - Hacker, Jörg M.
AU - Baade, Jussi
AU - Bannehr, Lutz
AU - Borg, Erik
AU - Bumberger, Jan
AU - Dietrich, Peter
AU - Gläßer, Cornelia
AU - Haase, Dagmar
AU - Heurich, Marco
AU - Jagdhuber, Thomas
AU - Jany, Sven
AU - Krönert, Rudolf
AU - Möller, Markus
AU - Mollenhauer, Hannes
AU - Montzka, Carsten
AU - Pause, Marion
AU - Rogass, Christian
AU - Salepci, Nesrin
AU - Schmullius, Christiane
AU - Schrodt, Franziska
AU - Schütze, Claudia
AU - Schweitzer, Christian
AU - Selsam, Peter
AU - Spengler, Daniel
AU - Vohland, Michael
AU - Volk, Martin
AU - Weber, Ute
AU - Wellmann, Thilo
AU - Werban, Ulrike
AU - Zacharias, Steffen
AU - Thiel, Christian
N1 - Copyright the Author(s) 2020 Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2020/11/2
Y1 - 2020/11/2
N2 - 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.
AB - 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.
KW - geomorphology
KW - terrain
KW - surface
KW - geodiversity
KW - fluvial
KW - aeolian
KW - coastal
KW - traits
KW - spectral traits
KW - remote sensing
KW - earth observation
KW - DEM
KW - DTM
KW - DSM
KW - monitoring
UR - http://www.scopus.com/inward/record.url?scp=85096138027&partnerID=8YFLogxK
U2 - 10.3390/rs12223690
DO - 10.3390/rs12223690
M3 - Review article
SN - 2072-4292
VL - 12
SP - 1
EP - 61
JO - Remote Sensing
JF - Remote Sensing
IS - 22
M1 - 3690
ER -