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) 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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Vol14 No.8: 1513-1525

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

AuthorWIEDENMANN Johannes*; ROHN Joachim; MOSER Michael

AddressesGeoZentrum Nordbayern, Department of Applied Geology, University of Erlangen-Nürnberg, Schlossgarten 5, 91054 Erlangen, Germany

Corresponding authorJohannes.Wiedenmann@fau.de

CitationWiedenmann 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). DOI: 10.1007/s11629-016-4239-1

DOI10.1007/s11629-016-4239-1

AbstractThe use of LIDAR-derived shaded relief maps led to the identification of all potential landslide areas in a hilly region in Northern Bavaria (1590km²), 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.

KeywordsLandslides; LIDAR; Appearance; Spatial ratio; Material properties; Bavaria