Ground motion areas detection (GMA-D): an innovative approach to identify ground deformation areas using the SAR-based displacement time series

摘要

In this work, an innovative methodology to generate theautomatic ground motion areas mapping is presented. The methodology is basedon the analysis of the Synthetic Aperture Radar (SAR)-based displacementtime series. The procedure includes two modules developed using theModelBuilder tool (ArcGis). These modules allow to identify the groundmotion areas (GMA) using only one dataset and the persistent GMA (PGMA)considering the different monitored periods and datasets. These areasrepresent clusters of targets characterized by the same displacement timeseries trend. The procedure was tested using different sensors such asERS-1/2, ENVISAT, COSMO-SkyMed and Sentinel-1 covering the periods,1992–2000, 2003–2010, 2012–2016 and 2014–2017, respectively, over an area ofabout 500 km2 in the Venetian-Friulian coastal Plain (NE Italy). Theresulting mapping allows to detect priority areas where to address furtherin situ investigations such as to verify the presence of localized buriedlandforms.