Using LIDAR and ground truth for landslide recognition and characterization of geotechnical and morphological parameters in sedimentary rocks, a case study in Northern Bavaria (Germany)

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Details zur Publikation

Autorinnen und Autoren: Wiedenmann J, Rohn J, Moser M
Zeitschrift: Journal of Mountain Science
Verlag: Science Press
Jahr der Veröffentlichung: 2017
Band: 14
Heftnummer: 8
Seitenbereich: 1513-1525
ISSN: 1672-6316


Abstract


The use of LIDAR-derived shaded relief maps led to the identification of all potential landslide areas in a hilly region in Northern Bavaria (1590 km2), Germany. Every possible structure was investigated by field investigation which resulted in a detailed database of 1002 landslides within the study area. The analysis of geological, lithological, topographical and morphological properties (spatial ratio, lithological and geological setting, length/width distribution, material properties and slope angle) revealed characteristic appearances of the landslides and possible relationships between different aspects. Strong relations between the lithological setting, spatial ratio of the mapped landslides and distribution of slope angle could be observed. This study shows the value of high-resolution shaded relief maps for detecting and mapping landslides in a large area with comparatively little work and time in comparison to the traditional approach to mapping. It reveals that many landslides were not known before. Landslides are much more common in Northern Bavaria and have a higher influence on the denudation rate of the Franconian Alb than expected before. © 2017, Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany.



FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Moser, Michael Prof. Dr.
Naturwissenschaftliche Fakultät
Rohn, Joachim Prof. Dr.
Professur für Angewandte Geologie
Wiedenmann, Johannes
Professur für Angewandte Geologie


Zitierweisen

APA:
Wiedenmann, J., Rohn, J., & Moser, M. (2017). Using LIDAR and ground truth for landslide recognition and characterization of geotechnical and morphological parameters in sedimentary rocks, a case study in Northern Bavaria (Germany). Journal of Mountain Science, 14(8), 1513-1525. https://dx.doi.org/10.1007/s11629-016-4239-1

MLA:
Wiedenmann, Johannes, Joachim Rohn, and Michael Moser. "Using LIDAR and ground truth for landslide recognition and characterization of geotechnical and morphological parameters in sedimentary rocks, a case study in Northern Bavaria (Germany)." Journal of Mountain Science 14.8 (2017): 1513-1525.

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Zuletzt aktualisiert 2018-06-11 um 13:53

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