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Summary of Proposal MTH0828

TitleMonitoring Gravitary and Structural Hazards by Quantitative X-band SAR Remote Sensing in the Rhône-Alpes Region
Investigator Vasile, Gabriel - French National Council for Scientific Research (CNRS), Grenoble-Image-sPeech-Signal-Automatics Lab
Team Member
Prof. Nicolas, Jean-Marie - Telecom- ParisTech, LTCI
Dr. Pascal, Frederic - Supelec, SONDRA
Dr. Ferro-Famil, Laurent - Université de Rennes 1, IETR
Dr. Boldo, Didier - EDF R&D (Energie de France), STEP
Dr. Ovarlez, Jean-Philippe - The French Aerospace Lab (ONERA), Électromagnétisme et radar (DEMR)
Dr. Pathier, Erwan - Université Joseph Fourier, Laboratoire de Géophysique Interne et Tectonophysique (LGIT)
Prof. Trouvé, Emmanuel - Université de Savoie, LISTIC
SummarySpace-borne SAR data and especially repeat-pass interferometry is a unique source of information which may allow global evolution monitoring and provide regular measurements such as glacier displacement, landslides change detection, snow/ice cartography. After several successful experiments on alpine temperate glaciers at C and X bands over the Argentière glacier, the transfer of expertise from the GIPSA-lab SAR team to other public or commercial partners has started to increase in the last two years. Three main application were identified: 1)monitoring of cold glaciers (over 3000m ASL) in the Alps for seracs and ice falls hazards; 2)structural (dams and water reservoirs) auscultation techniques in civil engineering both in terms of displacement and snow inversion methods; 3)landslides monitoring around Grenoble urban area (e.g. Séchilienne and Bilan). These 3 directions were regrouped under the present AO general proposal dedicated to the monitoring of gravitational and structural hazards by quantitative X-band SAR remote sensing. For each direction a specific test site has been selected in the Rhône Alpes region (France) and a quota of 20 images/site is required (an overall quota of 60 images). Firstly, the Grenoble urban area is proposed as experimentation test site for calibrating and testing the equipment. Its main interest is the proximity with both the Grenoble Institute of Technology (headquarters of GIPSA-lab) and the Séchilienne landslide. Note that over the urban area of Grenoble, a map of slow displacements (mm/year related to subsidence phenomena) using PSINSAR and ground-based leveling methods has already been done at the LGIT and that a ground-based radar installed by the French Aerospace Lab currently monitors the Séchilienne landslide. The funding required for the instrumentation of this test site is assured through the EFIDIR project. Two glaciers compose the second test site: the Grandes Jorasses and the Taconnaz glaciers for their important serac falls located at the border between France and Italy. The LGGE and the FMS currently instrument these glaciers. The funding over this test site is provided through the GlaRiskALp European INTEREG project. The third test site is the Grand’Maison water reservoir. This test site is of great importance for the EDF company as two risk factors can be found here: the Bilan landslide and the avalanches hazards. In consequence, many structural auscultation techniques are already installed by EDF and they can provide an important ground truth database for space-borne SAR remote sensing. The funding over this test site is provided by EDF. This proposal is supported by 8 French research laboratories, which are developing signal and image processing techniques for SAR remote sensing: GIPSA-lab, and LGIT (members OSUG), LISTIC, IETR, LTCI, ONERA DEMR/TSI, SONDRA and EDF R&D/STEP. The proposed methodological approach, inspired from STAP radar, introduces an alternative to the conventional PSINSAR method. It consists of time-frequency optimum detection and tracking of slow-moving and non-stationary artificial targets in non-Gaussian environment. The potential of dual-pol TS-X SAR data will be also investigated for evaluating the snow-water-equivalent in the surroundings of the Grand’Maison water reservoir. The proposed methodology couples meteorological models with statistical descriptors of the multivariate SAR data by means of data assimilation techniques. The characteristics of the TS-X mission and SAR sensor are promising for a real operational monitoring of gravitational and structural hazards. Finally, the results obtained in this project will be made available to the scientific community through the GIS database developed at GIPSA-lab in the framework of the EFIDIR project.

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