14 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. Size scaling of large landslides from incomplete inventories O. Korup et al. 10.5194/nhess-24-3815-2024
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4. Retrieval of Monsoon Landslide Timings With Sentinel‐1 Reveals the Effects of Earthquakes and Extreme Rainfall K. Burrows et al. 10.1029/2023GL104720
5. Automated Dating of Recent Landslides Using Sentinel-2 and Sentinel-1 on Google Earth Engine L. Barbera et al. 10.3390/rs17193270
6. Innovative Expert-Based Tools for Spatiotemporal Shallow Landslides Mapping: Field Validation of the GOGIRA System and Ex-MAD Framework in Western Greece M. Licata et al. 10.3390/geosciences15070250
7. 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
8. Understanding Landslide Expression in SAR Backscatter Data: Global Study and Disaster Response Application E. Lindsay et al. 10.3390/rs17193313
9. 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
10. Preface: Estimating and predicting natural hazards and vulnerabilities in the Himalayan region W. Schwanghart et al. 10.5194/nhess-24-3291-2024
11. 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
12. 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
13. Radiometric Terrain Flattening of Geocoded Stacks of SAR Imagery P. Agram et al. 10.3390/rs15071932
14. Estimating Landslide Surface Displacement by Combining Low-Cost UAV Setup, Topographic Visualization and Computer Vision Techniques V. Yordanov et al. 10.3390/drones7020085