11 citations as recorded by crossref.

1. Automatic detection of earthquake triggered landslides using Sentinel-1 SAR imagery based on deep learning L. Chen et al. 10.1080/17538947.2024.2393261
2. A landslide dating framework using a combination of Sentinel-1 SAR and -2 optical imagery S. Fu et al. 10.1016/j.enggeo.2023.107388
3. Size scaling of large landslides from incomplete inventories O. Korup et al. 10.5194/nhess-24-3815-2024
4. Preface: Estimating and predicting natural hazards and vulnerabilities in the Himalayan region W. Schwanghart et al. 10.5194/nhess-24-3291-2024
5. ExMAD (Expert-based Multitemporal AI Detector): An open-source methodological framework for remote and field landslide inventory M. Licata et al. 10.1016/j.envsoft.2025.106363
6. Timing landslide and flash flood events from SAR satellite: a regionally applicable methodology illustrated in African cloud-covered tropical environments A. Deijns et al. 10.5194/nhess-22-3679-2022
7. Review of landslide inventories for Nepal between 2010 and 2021 reveals data gaps in global landslide hotspot E. Harvey et al. 10.1007/s11069-024-07013-1
8. Retrieval of Monsoon Landslide Timings With Sentinel‐1 Reveals the Effects of Earthquakes and Extreme Rainfall K. Burrows et al. 10.1029/2023GL104720
9. Radiometric Terrain Flattening of Geocoded Stacks of SAR Imagery P. Agram et al. 10.3390/rs15071932
10. Estimating Landslide Surface Displacement by Combining Low-Cost UAV Setup, Topographic Visualization and Computer Vision Techniques V. Yordanov et al. 10.3390/drones7020085
11. A semi-supervised multi-temporal landslide and flash flood event detection methodology for unexplored regions using massive satellite image time series A. Deijns et al. 10.1016/j.isprsjprs.2024.07.010