Landslides and slope instabilities are natural hazards that cause significant damage and loss of life around the world each year. Yet, their triggering mechanisms are still an open area of research. Landslide-prone areas are characterized by highly heterogeneous properties and subsurface dynamics, where, for example, changes in the fluid pathways, geomechanical parameters, and subsurface structures can occur over time-scales ranging from second/minutes to months/years, requiring radically different approaches for their identification and prediction. Hence, there is a need to develop a suite of novel methods for studying landslide and slope instabilities architecture as well as their temporal and spatial changes in internal structure and properties. The complexity of the problem requires the application of innovative research methods in data acquisition, methodology and the integrated interpretation of geophysical, geotechnical and geological data.
This session invites abstracts presenting novel and emerging trends and opportunities for landslide and slope instabilities reconnaissance, monitoring, and early-warning, particularly applying multi-method approaches. Presentations showing the integration of various geophysical and remote sensing techniques, especially using machine learning or time-lapse surveys, are especially welcome. Likewise, presentations focusing on determining the geomechanical parameters of mass movements using geological (boreholes, geomechanical or other surveys) and geophysical studies are also in the scope of the session. Since slope instabilities are a cross-disciplinary problem, any contributions on avalanches, natural or engineered slopes, or climate-induced slope instabilities are warmly invited.