Grégory Bièvre

Innovative Techniques for the Characterization of the Morphology, Geometry and Hydrological Features of Slow-Moving Landslides

In the last 10 years, landslide characterization has benefited from numerous developments in remote sensing, near surface geophysics, instrumentation and data processing. This section highlights various advances and innovative techniques or processing methods to characterize the morphology, structure and hydrological features of landslides. Airborne Laser Scanner (ALS) technique has emerged as a promising tool for characterizing slope morphology, with the perspective of automatic detection of landslide-affected areas. Combining ALS-data DTM with geophysical and geotechnical information has allowed to reconstruct the 3D landslide geometry considering data uncertainty and resolution. This is a significant forward step in landslide investigation. Of major importance is also the detection and monitoring of water infiltration in the sliding masses, using indirect prospecting techniques such as ERT and distributed temperature sensing (DTS) using fibre-optic cables. These new techniques could be a major help in understanding the water paths and in designing appropriate remediation systems. Finally, although most of these results have been obtained in clayey landslides, the applied methods can be extended to other landslide types, with some technical adaptations.