Earth Observation Applications to Landslide Mapping, Monitoring and Modeling

Part 1 Satellite imagery: Optical and Radar
1. New algorithms for SBAS and PS and their applications to landslide
2. The use of Optical EO data for monitoring landslide. Recent studies demonstrated the use of Sentinel-2 for landslide activity monitoring in French Alps.
3. The fusion of Optical and Radar EO data
4. SAR applications with Deep Learning - focused on DL (CNN) application to SAR and SAR fusion with Optic applications
5. Deep learning applications to EO data for landslide mapping and monitoring - including landslide feature mapping

Part 2 Drone applications for landslide mapping and monitoring
6. Landslide activity monitoring using optical ultra-high image resolutions; especially the volume and runoff estimations.
7. Thermal drone imagery for mapping surface soil moisture as a proxy for landslide monitoring
8. Deep learning applications for landslide feature mapping
9. Geocoded video for mapping elements exposed to risk induced by a landslide

Part 3 EO data assimilations in landslide susceptibility and hazard mapping
10. Natural hazards mapping and modelling
11. Self-learning algorithms in earth observation applied for landslide mapping and monitoring

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• Geofísica

Landslide monitoring; convolutional neural networks; feature detection; natural hazards; drones; EO time series; open-source tools