Science Service System

Summary of Proposal GEO1589

TitleUse of SAR-satellite datatomonitor and model landslides and subsidence hazards
Investigator Notti, Davide - University of Pavia, Department of Earth and Environmental sciences
Team Member
full Calcaterra, Domenico - Università di Napoli, Department of Hydraulic, Geotechnical and Environmental Engineering
full professor Mallorqui, Jordi - Universidad Politecnica de Catalunya, Department of Signal Theory and Communications (TSC
Dr. Herrera, Gerardo - Spanish Geological and Mining Survey (IGME), GeoHazards unit
Associate Professor Tomás Jover, Roberto - University of Alicante, Departamento de Ingeniería de la Construcción, OO.PP. e Infraestructura Urbana (
Associate professor Iodice, Antonio - Università di Napoli, Department of Biomedical, Electronic and Telecommunication Engineering.
SummaryThe aim of this project is to exploit SAR-satellite data of high spatial and temporal resolution to develop procedures useful for the identification, monitoring, analysis and modeling of landslides and subsidence hazards. The project will be focused on: 1.Processing SAR images of TerraSAR-X with advanced DInSAR methodologies(e.g. Coherent Pixel Techniques - CPT Blanco-Sánchezet al,2008)over different test-sites. 2.Develop post-processing methods for data interpretation that take advantage of the higher spatial and temporal resolutions (the methods already developed generally refer to ERS, RADARSAT and ENVISAT data with low temporal and spatial resolutions); 3.Compare the results of TerraSAR-X data with the results obtained from other sensors when possible (ERS, RADARSAT, ENVISAT, COSMO-SkyMed) 4.Compare and integrate the results of the interferometric processing with other displacement measurements (GPS, inclinometric, piezometric, leveling measurements, etc.). The in-situ data will provide ground-truth validation data for the interferometric results but it will be also integrated in the DInSAR processing; 5.For landslides, analyse Permanent Scatterers (hereafter, PS) and their Time Series in order to: - build-up advanced kinematic models of landslides (or rockmass); - evaluate the reliability of the results in order to study the evolution of the movement (pre-, post-, collapse); - develop methodologies for the analysis of the deformation history in the study area prior to a (main) landslide event, in order to identify potential precursors and critical velocity thresholds. - obtain a better assessment of the state of activity; - set-up and/or adapt ground-based monitoring networks in civil protection emergency contexts; 6.For subsidence, analyse the results and their Time Series in order to: -compare them with the particular factors/actions that cause subsidence -validate and improve subsidence prediction models. As no external funding is available for the project and for personnel cost, the research institutes of the participants will cover the time(month/men) required to elaborate and analyze the data, as well as will provide any facility.

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