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Investigation of Landslide Kinematics Derived from UAV- and Ground-based Imagery - Precision Analysis of 3D Point CloudsNormal access

Authors: M. Walter, R. Rothmund, U. Niethammer, J.P. Malet and M. Joswig
Event name: Near Surface Geoscience 2013 - 19th EAGE European Meeting of Environmental and Engineering Geophysics
Session: Detection and Monitoring of Geo-Hazards (P)
Publication date: 09 September 2013
DOI: 10.3997/2214-4609.20131403
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 8.34Mb )
Price: € 20

During an eight week field campaign at the Super-Sauze landslide (South French Alps), several UAV- and ground-based photographs have been acquired. Additionally, high-resolution terrestrial laser scanning (TLS) has been performed in order to capture a precise reference data set. The High-resolution and multi-temporal, but also disordered and oblique images were used to generate 3D point clouds from Structure-from-Motion and Multi-View Stereo (SfM-MVS) algorithms. These multi-temporal digital surface models (DSMs) were required for a precise ortho-rectification, as well as for morphometric and kinematic investigations. In order to determine the quality of the point clouds, all photogrammetric data were compared to the time corresponding TLS-based DSMs. The analysis of DSMs and orthophotos is one part of a field experiment that has the objective to characterize the relationship between fracture processes (slidequakes and local tremor events), slope movements, fissure developments and pore water pressure build-up. The main focus of this contribution is a comprehensive evaluation of the SfM-MVS-based point clouds in order to demonstrate the potential but also the limits of such approach.

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