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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 2 | Copyright

Special issue: LIDAR and DEM techniques for landslides monitoring and...

Nat. Hazards Earth Syst. Sci., 9, 433-439, 2009
https://doi.org/10.5194/nhess-9-433-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.

  19 Mar 2009

19 Mar 2009

Estimating mass-wasting processes in active earth slides – earth flows with time-series of High-Resolution DEMs from photogrammetry and airborne LiDAR

A. Corsini1, L. Borgatti2, F. Cervi1, A. Dahne1, F. Ronchetti1, and P. Sterzai3 A. Corsini et al.
  • 1Department of Earth Sciences, Modena and Reggio Emilia University, Modena, Italy
  • 2Department of Structural, Transport, Hydraulic, Survey and Territorial Engineering – DISTART, Bologna University, Bologna, Italy
  • 3National Institute of Oceanography and Experimental Geophysics – OGS, Trieste, Italy

Abstract. This paper deals with the use of time-series of High-Resolution Digital Elevation Models (HR DEMs) obtained from photogrammetry and airborne LiDAR coupled with aerial photos, to analyse the magnitude of recently reactivated large scale earth slides – earth flows located in the northern Apennines of Italy. The landslides underwent complete reactivation between 2001 and 2006, causing civil protection emergencies. With the final aim to support hazard assessment and the planning of mitigation measures, high-resolution DEMs are used to identify, quantify and visualize depletion and accumulation in the slope resulting from the reactivation of the mass movements. This information allows to quantify mass wasting, i.e. the amount of landslide material that is wasted during reactivation events due to stream erosion along the slope and at its bottom, resulting in sediment discharge into the local fluvial system, and to assess the total volumetric magnitude of the events. By quantifying and visualising elevation changes at the slope scale, results are also a valuable support for the comprehension of geomorphological processes acting behind the evolution of the analysed landslides.

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