Landslide susceptibility assessment of Friuli Venezia Giulia region

This thesis develops a landslide susceptibility model created jointly with an internship project in geospatial risk analysis. Using DEM‑derived terrain parameters and environmental data, statistical and machine‑learning methods were applied to identify conditions linked to slope instability and produce landslide susceptibility maps. The results support operational decision‑making for landslide monitoring and local risk management.