Rockfalls and landslides result in severe danger to infrastructure and public safety in mountainous regions. Detecting these events in real time is crucial for risk mitigation and early warning systems. This thesis investigates the use of state of polarization (SOP) data taken from an experimental site situated in a mountain gully, to monitor and detect anomalous events, particularly falling rocks. The study is based on data collected from four distinct fiber optic circuits, either buried or exposed, deployed along the gully. These circuits continuously record SOP angular speed (SOPAS) values, which represent the dynamic variations in the polarization state of light traveling through the fibers.