Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.


Landslide studies integrating remote sensing and geophysical data

Landslide investigation and monitoring is increasingly combining inputs from remotely sensed (RS), ground-based, and subsurface data. RS (optical, InSAR, UAV) and geophysical data (electrical, seismic, seismological and electro-magnetic, and 1-/2-/3-/4-D surveys, as well as borehole information) together provide a more comprehensive view of those geohazard phenomena, especially if active mass movements are considered. However, often, these surveys are organised separately, and a full integration of the surface and subsurface information is barely performed. Most data representations lack a model that allows for the joint interpretation of RS and geophysical data, also because of the different scales on which the landslides are generally studied when using these methods, spanning from a regional/wide to local scale. Such models, e.g., based on 3D geomodelling, should also help better cross-validate RS, surface, and subsurface information. In particular, geophysical data interpretation can be affected by high levels of uncertainty—well-integrated and jointly modelled RS, surface, and geophysical data will likely help reduce this uncertainty.

Finally, for large mass movements or a group of investigated massive failures, the surface and subsurface models, even if well-constructed by integrating all processed inputs and outputs, are difficult to analyse and interpret as a whole because of the complexity of information included in the models. Standard visualisation tools (using combined map and section views, as well as animation of models) may not be sufficient to get a deeper insight into the structure and, even more importantly for active landslides, into the dynamics of failure processes. Emerging extended (Virtual) reality (XR) technologies (that have already been used for quite some time in other geoscience fields, mostly those related to exploitation, but less in geohazard research) may help to overcome difficulties of complex model visualisation and interpretation.

Convener: Veronica Pazzi | Co-conveners: Francesca Cigna, Romy Schlögel, Marc-Henri Derron, Hans-Balder Havenith