CONCEPT TO ANALYZE THE DISPLACEMENT TIME SERIES OF INDIVIDUAL PERSISTENT SCATTERERS

Abstract. Persistent Scatterer Interferometry (PSInSAR) exploits a time series of Synthetic Aperture Radar (SAR) images to estimate the mean velocity with which surface earth is deforming. However, most PSInSAR algorithms velocities using linear regression model. Since some deformation phenomena can exhibit more complex behavior over time, model leads potentially wrong estimations for velocity. For example, landslide moving down steep slope change depending on water content material landslide, or an inactive reactivate due earthquake. Both scenarios would not result in constant but piecewise series.This paper presents Matlab-based tool analyze individual (PS) series. The Deformation Pattern Analysis Tool (PSDefoPAT) aims build mathematical that sufficiently describes trend and seasonal noise components. component estimated polynomial models, while sine function approximates component. goal identify best fitting displacement PS. PSDefoPAT introduced by examine three different PS located region surrounding Patras, Greece. Based derived we discuss nature their patterns.