Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.3390/rs14092279
Lizenz creative commons licence
Titel (primär) Remote sensing of geomorphodiversity linked to biodiversity — Part III: Traits, processes and remote sensing characteristics
Autor Lausch, A.; Schaepman, M.E.; Skidmore, A.K.; Catana, E.; Bannehr, L.; Bastian, O.; Borg, E.; Bumberger, J. ORCID logo ; Dietrich, P. ORCID logo ; Glässer, C.; Hacker, J.M.; Höfer, R.; Jagdhuber, T.; Jany, S.; Jung, A.; Karnieli, A.; Klenke, R.; Kirsten, T.; Ködel, U.; Kresse, W.; Mallast, U.; Montzka, C.; Möller, M.; Mollenhauer, H.; Pause, M.; Rahman, M.; Schrodt, F.; Schmullius, C.; Schütze, C.; Selsam, P.; Syrbe, R.-U.; Truckenbrodt, S.; Vohland, M.; Volk, M.; Wellmann, T.; Zacharias, S. ORCID logo ; Baatz, R.
Quelle Remote Sensing
Erscheinungsjahr 2022
Department CLE; CHS; NSF; MET; iDiv
Band/Volume 14
Heft 9
Seite von art. 2279
Sprache englisch
Topic T5 Future Landscapes
Keywords geomorphology; geomorphodiversity; geodivesity; biodiversity; traits; spectral traits; geomorphic traits; genesis; taxonomy; structure; functions; terrain; landforms; land-use intensity; ecosystem integrity; remote sensing; earth observation; multi-mission; data science
Abstract 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.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=26072
Lausch, A., Schaepman, M.E., Skidmore, A.K., Catana, E., Bannehr, L., Bastian, O., Borg, E., Bumberger, J., Dietrich, P., Glässer, C., Hacker, J.M., Höfer, R., Jagdhuber, T., Jany, S., Jung, A., Karnieli, A., Klenke, R., Kirsten, T., Ködel, U., Kresse, W., Mallast, U., Montzka, C., Möller, M., Mollenhauer, H., Pause, M., Rahman, M., Schrodt, F., Schmullius, C., Schütze, C., Selsam, P., Syrbe, R.-U., Truckenbrodt, S., Vohland, M., Volk, M., Wellmann, T., Zacharias, S., Baatz, R. (2022):
Remote sensing of geomorphodiversity linked to biodiversity — Part III: Traits, processes and remote sensing characteristics
Remote Sens. 14 (9), art. 2279 10.3390/rs14092279