Conveners:
Rachele Franceschini (IOGS)
Agnese Innocenti (Università di Firenze)
Stefano Morelli (Università di Urbino)
Nicola Nocentini (Università di Firenze)
Landslides represent one of the most serious natural hazards in Italy, frequently resulting in fatalities and significant damage to infrastructure. In response, recent advances in Earth observation and monitoring technologies allow direct and continuous investigation of landslide dynamics. High-resolution GNSS, in situ geophysical and environmental sensors, remote sensing data provide quantitative information on slope deformation and kinematics, improving our understanding of landslide volution, triggering processes and potential precursory signals, and supporting more effective risk reduction strategies. This session aims to bring together contributions addressing landslides from an integrated perspective, spanning process understanding, observation strategies and risk mitigation. Contributions are encouraged on topics including landslide kinematics and alteration processes; multi-sensor and multi-scale monitoring approaches; integration of observations with numerical and data-driven models, including artificial intelligence and machine learning; and implications for early warning systems, land management and civil protection. By combining observational, methodological and applied perspectives, the session seeks to foster discussion on how advances in Earth observation can improve landslide hazard assessment and contribute to more effective risk reduction in fragile environments.