2021 AOGS

Session IG05:  Identification, Mapping, Monitoring and Forecasting of Landslide and Erosion Processes

Rainfall intensity increase due to climate change, as well as earthquakes with high potential are triggering worldwide and particularly in south-east Asia shallow and deep-seated landslides and erosion processes, posing serious threats to structure, infrastructure and to the population. New approaches and technologies to identify, map, monitor and forecast landslides will contribute significantly to properly characterize and to mitigate landslide risk. This session is proposed to examine issues of appropriate methods or surrogates to identify and detect any existed or possible landslide and erosion processes in the field, but also to identify methodologies and tools for landslide integrated risk assessment and early warning system (EWS) in a multi-hazard framework (MHF) at slope, catchment and regional scales. Potential concept and practices based on the science and engineering measures are encouraged to reveal along with their ability to cope with heterogeneous sources of data, including static and dynamic physical and societal sparse and big data, without standard formats and procedures. Contributions aimed at evaluating the uncertainties associated to the analysis aforementioned are welcomed.