Earthquakes, extreme rainfall, or rapid snowmelt can generate widespread landsliding, with consequences for life, safety, and economic well-being. Characterizing the spatiotemporal controls on landslide occurrence and recurrence are important for hazard analysis and risk assessment, which can inform emergency management and land-use planning. Landslide mapping and modeling has accelerated with the emergence of new measurement technologies and improved data analysis approaches, paving the way for improved characterization of landslide processes and their societal impacts.

This session welcomes a wide range of contributions towards characterizing and modeling recent or historical landslide events, from individual hillslopes to regional scales and for both seismic and hydroclimatic triggering mechanisms. In particular, we intend to highlight novel approaches to inform and improve landslide inventories, susceptibility modeling, early warning systems, monitoring, and risk assessments.