Remote Sensing of Geomorphodiversity Linked to Biodiversity—Part III: Traits, Processes and Remote Sensing Characteristics
Creators: name: Lausch, Angela
name: Schaepman, Michael E.
name: Skidmore, Andrew K.
name: Catana, Eusebiu
name: Bannehr, Lutz
name: Bastian, Olaf
name: Borg, Erik
name: Bumberger, Jan
name: Dietrich, Peter
name: Glässer, Cornelia
name: Hacker, Jorg M.
name: Höfer, Rene
name: Jagdhuber, Thomas
name: Jany, Sven
name: Jung, András
name: Karnieli, Arnon
name: Klenke, Reinhard
name: Kirsten, Toralf
name: Ködel, Uta
name: Kresse, Wolfgang
name: Mallast, Ulf
name: Montzka, Carsten
name: Möller, Markus
name: Mollenhauer, Hannes
name: Pause, Marion
name: Rahman, Minhaz
name: Schrodt, Franziska
name: Schmullius, Christiane
name: Schütze, Claudia
name: Selsam, Peter
name: Syrbe, Ralf-Uwe
name: Truckenbrodt, Sina
name: Vohland, Michael
name: Volk, Martin
name: Wellmann, Thilo
name: Zacharias, Steffen
name: Baatz, Roland
Publisher: name: Humboldt-Universität zu Berlin
Year: 2022
Subjects: subject: geomorphology
subject: geomorphodiversity
subject: geodivesity
subject: biodiversity
subject: traits
subject: spectral traits
subject: geomorphic traits
subject: genesis
subject: taxonomy
subject: structure
subject: functions
subject: terrain
subject: landforms
subject: land-use intensity
subject: ecosystem integrity
subject: remote sensing
subject: earth observation
subject: multi-mission
subject: data science
subject: 550 Geowissenschaften

description: Remote sensing (RS) enables a cost-effective, extensive, continuous and standardized monitoring of traits and trait variations of geomorphology and its processes, from the local to the continental scale. To implement and better understand RS techniques and the spectral indicators derived from them in the monitoring of geomorphology, this paper presents a new perspective for the definition and recording of five characteristics of geomorphodiversity with RS, namely: geomorphic genesis diversity, geomorphic trait diversity, geomorphic structural diversity, geomorphic taxonomic diversity, and geomorphic functional diversity. In this respect, geomorphic trait diversity is the cornerstone and is essential for recording the other four characteristics using RS technologies. All five characteristics are discussed in detail in this paper and reinforced with numerous examples from various RS technologies. Methods for classifying the five characteristics of geomorphodiversity using RS, as well as the constraints of monitoring the diversity of geomorphology using RS, are discussed. RS-aided techniques that can be used for monitoring geomorphodiversity in regimes with changing land-use intensity are presented. Further, new approaches of geomorphic traits that enable the monitoring of geomorphodiversity through the valorisation of RS data from multiple missions are discussed as well as the ecosystem integrity approach. Likewise, the approach of monitoring the five characteristics of geomorphodiversity recording with RS is discussed, as are existing approaches for recording spectral geomorhic traits/ trait variation approach and indicators, along with approaches for assessing geomorphodiversity. It is shown that there is no comparable approach with which to define and record the five characteristics of geomorphodiversity using only RS data in the literature. Finally, the importance of the digitization process and the use of data science for research in the field of geomorphology in the 21st century is elucidated and discussed.