This thesis presents a comprehensive analysis of rockfall phenomena, focusing on the detailed characterization of release areas to enhance hazard assessment and the design of mitigation measures. The research is centered on a case study in Venaus (Turin, Italy), an area where steep rock slopes pose a potential risk to critical infrastructure. The methodology integrates traditional geomechanical field surveys with aerial photogrammetry via Unmanned Aerial Vehicles (UAV) to create high-precision topographical models and identify unstable rock sectors. A Susceptibility Index to Failure (SIF) was applied to eight identified rock walls to objectively quantify the likelihood of block detachment. This approach allowed for a prioritized ranking of the source areas based on their structural and geomorphological instability.