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

Authors :
Sven Jany
Christian Schweitzer
Claudia Schütze
Rudolf Krönert
Thilo Wellmann
Lutz Bannehr
Jan Bumberger
Franziska Schrodt
Jorg M. Hacker
Andrew K. Skidmore
Dagmar Haase
Angela Lausch
Daniel Spengler
Martin Volk
Nesrin Salepci
Sina C Truckenbrodt
Thomas Jagdhuber
Christian Thiel
Cornelia Gläßer
Marion Pause
Michael E. Schaepman
Carsten Montzka
Hannes Mollenhauer
Erik Borg
Peter Selsam
Peter Dietrich
Ute Weber
Jussi Baade
Christian Rogass
Michael Vohland
Marco Heurich
Markus Möller
Christiane Schmullius
Steffen Zacharias
Ulrike Werban
Department of Natural Resources
UT-I-ITC-FORAGES
Faculty of Geo-Information Science and Earth Observation
Source :
Remote sensing, 12(22):3690, 1-61. MDPI, Remote Sensing, Vol 12, Iss 3690, p 3690 (2020), Remote sensing 12(22), 3690 (2020). doi:10.3390/rs12223690, Remote Sensing

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.

Details

Language :
English
ISSN :
20724292
Volume :
12
Issue :
22
Database :
OpenAIRE
Journal :
Remote Sensing
Accession number :
edsair.doi.dedup.....d0a1031df1549479cdad93266d4b5d19
Full Text :
https://doi.org/10.3390/rs12223690