Assessment of the European Ground Motion Service for Landslide Monitoring in the Piemonte Region: A Comparative Analysis with In Situ Monitoring and Multi-Temporal InSAR Datasets

Landslide monitoring is essential for risk assessment and management, particularly in regions such as Piemonte, where slow-moving slope instabilities are widespread. In recent years, satellite-based Interferometric Synthetic Aperture Radar (InSAR) has become an important tool for detecting and measuring ground deformation over large areas. Among the available products, the European Ground Motion Service (EGMS) provides a valuable and consistent dataset for regional-scale analyses. This thesis assesses the applicability of EGMS for landslide monitoring in the Piemonte Region through a comparative analysis with in situ monitoring systems and historical InSAR datasets. The study integrates landslide inventories, EGMS Calibrated data (2019–2023), historical InSAR datasets, and information from GNSS monitoring stations. The analysis focuses on the distribution of landslides containing measurement points according to state of activity and typology, as well as on the kinematic characterization of landslides through mean velocity and measurement point density. A further comparison is carried out between EGMS-derived velocities and GNSS data, both in terms of mean velocity and time series behaviour, in order to evaluate the reliability of EGMS for validation purposes. EGMS is also compared with previous InSAR datasets to investigate similarities and differences in detected deformation patterns. The results show that EGMS represents a useful tool for regional landslide investigations, especially for identifying deformation trends in slow-moving phenomena. However, its performance is influenced by slope geometry, landslide characteristics, and data visibility conditions. The comparison with in situ and historical datasets highlights both the potential and the limitations of EGMS, confirming its value as a complementary source of information for landslide monitoring and hazard assessment.