In this paper preliminary results of the Cat-1 project ”Landslides forecasting analysis by displacement time series derived from Satellite and Terrestrial InSAR data” are presented. The project focuses on landslide forecasting analysis, based on the application of slope creep models. Displacements data through time, related to landslides strain evolution, are usually derived by classical monitoring methods. Here we propose the use of spaceborne synthetic aperture radar (SAR) differential interferometry (DInSAR) to achieve past displacements information of already collapsed landslides. Persistent Scatterers (PS) InSAR and Small Baseline Subset (SBAS) InSAR are considered and discussed in the perspective of proposed application. Furthermore, a rating method to evaluate the suitability of landslide prediction and investigation by Satellite InSAR technique is presented and tested over two case studies.
Landslides forecasting analysis by time series displacement derived from satellite InSAR data: preliminary results.
FLORIS, MARIO
2011
Abstract
In this paper preliminary results of the Cat-1 project ”Landslides forecasting analysis by displacement time series derived from Satellite and Terrestrial InSAR data” are presented. The project focuses on landslide forecasting analysis, based on the application of slope creep models. Displacements data through time, related to landslides strain evolution, are usually derived by classical monitoring methods. Here we propose the use of spaceborne synthetic aperture radar (SAR) differential interferometry (DInSAR) to achieve past displacements information of already collapsed landslides. Persistent Scatterers (PS) InSAR and Small Baseline Subset (SBAS) InSAR are considered and discussed in the perspective of proposed application. Furthermore, a rating method to evaluate the suitability of landslide prediction and investigation by Satellite InSAR technique is presented and tested over two case studies.Pubblicazioni consigliate
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