Persistent Scatterer Interferometry and Statistical Analysis of Time-Series for Landslide Monitoring: Application to Santo Stefano d’Aveto (Liguria, NW Italy)

Landslides are a major threat for population and urban areas. Persistent Scatterer Interferometry (PSI) is powerful tool identifying landslides monitoring their evolution over long periods has proven to be very useful especially in areas, where sufficient number of PS can generated. In this study, we applied interferometry investigate the landslide affecting Santo Stefano d’Aveto (Liguria, NW Italy) by integrating classic interferometric techniques with cross-correlation analysis time-series geological geotechnical field information. We used open-source software packages process Synthetic Aperture Radar (SAR) images from Copernicus Sentinel-1A satellite both ascending descending orbits period 2015–2021 calculate vertical motion E-W horizontal displacement. By computing time-series, identified three families similarity greater than 0.70. The allowed subdividing different sectors, each which characterized specific type movement. meaning subdivision still matter discussion but it presumably driven geomorphological setting area regional tectonics.