Journal of Mountain Science

, Volume 14, Issue 8, pp 1513–1525 | Cite as

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)

  • Johannes WiedenmannEmail author
  • Joachim Rohn
  • Michael Moser


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.


Landslides LIDAR Appearance Spatial ratio Material properties Bavaria 


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This study was developed within the EUProject ‘Europäischer Fonds für regionale Entwicklung (EFRE) im Ziel "Regionale Wettbewerbsfähigkeit und Beschäftigung" Bayern 2007–2013; Projekt: Georisiken im Klimawandel–Gefahrenhinweiskarte Jura, 1.5-StMUG-83-OFR-001’, which was financed by the Bavarian Environment Agency (Bayerisches Landesamt für Umwelt, LfU). The employees of the Bavarian Environment Agency (LfU) are thanked as the coordinator of this project, discussions during field investigations, and for providing much basic data.


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Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.GeoZentrum Nordbayern, Department of Applied GeologyUniversity of Erlangen-NürnbergErlangenGermany

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