Earth Observation Applications to Landslide Mapping, Monitoring and Modeling: Cutting-edge Approaches with Artificial Intelligence, Aerial and Satellite Imagery: Earth Observation
Editat de Ionut Sandric, Viorel Ilinca, Zenaida Chituen Limba Engleză Paperback – 15 noi 2024
- Recent developments in landslide monitoring and mapping algorithms
- Provides clear and detailed case studies and methods that can be easily replicated and implemented in landslide monitoring systems
- Provides detailed methods for applying research to landslide monitoring and mapping
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Specificații
ISBN-13: 9780128238684
ISBN-10: 0128238682
Pagini: 400
Ilustrații: 200 illustrations (120 in full color)
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Seria Earth Observation
ISBN-10: 0128238682
Pagini: 400
Ilustrații: 200 illustrations (120 in full color)
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE
Seria Earth Observation
Public țintă
Geologist, geomorphologists, researchers and practitioners working in environmental modelling and remote sensing Environmental engineers and government and NGOs working on prevention of landslidesCuprins
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
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