Vol. 13, Special Issue 1: 34th EARSeL Symposium, 24-29, 2014

Use of a Lidar high resolution Digital Elevation Model for risk stability analysis
Nathalie Stephenne, Christophe Frippiat, Mathieu Veschkens, Marc Salmon, and Daniel Pacyna

Remote sensing data offer an accurate source of information to the administration. Walloon administration develops its capacities in using Earth Observation data to respond to the EU request of characterizing the risks related to closed and/or abandoned mining sites. This paper compares two Digital Elevation Models (DEM) derived either from aerial photos or from a LiDAR (Light Detection And Ranging) scanner in their capabilities of characterizing unstable land cover and risks of landslides for Walloon coal waste heaps.

A first inventory of Walloon facilities at risk provided to EU authorities identified geotechnical failure as being one of the major risks linked to coal mine waste heaps. The risk of geotechnical failure was quantified using a geotechnical factor of safety computed on a pixel basis using the topography of the facility. The topography was extracted from a regional-scale DEM with a spatial resolution of 10 m (ERRUISSOL model, information on http://geoportail.wallonie.be). Since the first inventory, a new DEM dataset using LiDAR scanner has been acquired by the Walloon Region. This paper compares both datasets in their ability to quantify the risk of slope instability on five specific heaps.

The DEM from LiDAR data offers a resolution of 1 m. It leads to significant differences in the spatial and statistical distributions of slopes, as compared to the regional 10 m-resolution DEM. To test this spatial effect, the resolution of the LiDAR DEM has been averaged by pixel aggregation to 2/4/8 and 10 m - resolution for direct comparison with the ERRUISSOL DEM. In all cases, the application of the geotechnical factor of safety criterion based on the high-resolution LiDAR DEM leads to larger portions of heap surfaces at risk of geotechnical failure. In the next months, this method will be proposed to the Walloon administration for application to all facilities considered at risk by the first inventory to improve the characterization of the risk of geotechnical failure, and confirm or not the risk.

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DOI: 10.12760/02-2014-1-05

Submitted: 31 Mar 2014
Revised: 15 July 2014
Accepted: 16 July 2014
Published: 28 July 2014
Responsible editor: Rainer Reuter

Stephenne N, C Frippiat, M Veschkens, M Salmon & D Pacyna, 2014. Use of a Lidar high resolution Digital Elevation Model for risk stability analysis. EARSeL eProceedings, 13(S1): 24-29

EARSeL European Association of Remote Sensing Laboratories, Strasbourg, France


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