40 citations as recorded by crossref.

1. Physics and Modeling of Various Hazardous Landslides J. Elíasson & Þ. Sæmundsson 10.3390/geosciences11030108
2. Machine learning and landslide studies: recent advances and applications F. Tehrani et al. 10.1007/s11069-022-05423-7
3. Landslide susceptibility mapping on a global scale using the method of logistic regression L. Lin et al. 10.5194/nhess-17-1411-2017
4. A 30 m global map of elevation with forests and buildings removed L. Hawker et al. 10.1088/1748-9326/ac4d4f
5. A Potential Strain Indicator for Brittle Failure Prediction of Low-porosity Rock: Part I—Experimental Studies Based on the Uniaxial Compression Test L. Xue et al. 10.1007/s00603-014-0675-9
6. Landslides triggered by rainfall: A semi-automated procedure to define consistent intensity–duration thresholds S. Segoni et al. 10.1016/j.cageo.2013.10.009
7. Earthquake-induced landslides susceptibility assessment: A review of the state-of-the-art X. Shao & C. Xu 10.1016/j.nhres.2022.03.002
8. Evaluating the performances of satellite-based rainfall data for global rainfall-induced landslide warnings G. Jia et al. 10.1007/s10346-019-01277-6
9. Using Google's cloud-based platform for digital soil mapping J. Padarian et al. 10.1016/j.cageo.2015.06.023
10. How far are we from the use of satellite rainfall products in landslide forecasting? M. Brunetti et al. 10.1016/j.rse.2018.03.016
11. Satellite-derived rainfall thresholds for landslide early warning in Bogowonto Catchment, Central Java, Indonesia E. Chikalamo et al. 10.1016/j.jag.2020.102093
12. Dynamic Hazard Assessment of Rainfall-Induced Landslides Using Gradient Boosting Decision Tree with Google Earth Engine in Three Gorges Reservoir Area, China K. Yang et al. 10.3390/w16121638
13. A combined triggering-propagation modeling approach for the assessment of rainfall induced debris flow susceptibility L. Stancanelli et al. 10.1016/j.jhydrol.2017.04.038
14. A suite of global, cross-scale topographic variables for environmental and biodiversity modeling G. Amatulli et al. 10.1038/sdata.2018.40
15. Landslides and synoptic weather trends in the European Alps J. Wood et al. 10.1007/s10584-016-1623-3
16. Assessing Global Landslide Casualty Risk Under Moderate Climate Change Based on Multiple GCM Projections X. Wang et al. 10.1007/s13753-023-00514-w
17. Satellite‐Based Assessment of Rainfall‐Triggered Landslide Hazard for Situational Awareness D. Kirschbaum & T. Stanley 10.1002/2017EF000715
18. Global Assessment of the Capability of Satellite Precipitation Products to Retrieve Landslide-Triggering Extreme Rainfall Events O. Marc et al. 10.1175/EI-D-21-0022.1
19. Natural Hazards Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science S. Sharma et al. 10.1029/2021EA002114
20. A dynamic landslide hazard assessment system for Central America and Hispaniola D. Kirschbaum et al. 10.5194/nhess-15-2257-2015
21. Geoenvironmental GIS development to investigate Landslides and Slope Instability along Frontal zone of Central Himalaya P. Rawat & B. Pant 10.1016/j.nhres.2023.03.005
22. Leveraging geospatial data to evaluate women's employment opportunities in the renewable energy sector C. Mayen Huerta et al. 10.1016/j.erss.2024.103917
23. Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System S. Hartke et al. 10.1175/JHM-D-19-0295.1
24. Rainfall-triggered slope instabilities under a changing climate: comparative study using historical and projected precipitation extremes J. Robinson et al. 10.1139/cgj-2015-0602
25. Geoinformatic Analysis of Rainfall-Triggered Landslides in Crete (Greece) Based on Spatial Detection and Hazard Mapping A. Argyriou et al. 10.3390/su14073956
26. Ground Surface Deformation Detection in Complex Landslide Area—Bobonaro, Timor-Leste—Using SBAS DInSAR, UAV Photogrammetry, and Field Observations B. Martins et al. 10.3390/geosciences10060245
27. Remote Sensing for Assessing Landslides and Associated Hazards C. Lissak et al. 10.1007/s10712-020-09609-1
28. Bird conservation would complement landslide prevention in the Central Andes of Colombia N. Ocampo-Peñuela & S. Pimm 10.7717/peerj.779
29. Freeze-thaw induced landslides on grasslands in cold regions J. Yang et al. 10.1016/j.catena.2022.106650
30. Slope susceptibility map for preventive measures against rainfall-induced slope failure H. Rahardjo et al. 10.1007/s44285-023-00006-9
31. Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR) C. Juang et al. 10.1371/journal.pone.0218657
32. Non-susceptible landslide areas in Italy and in the Mediterranean region I. Marchesini et al. 10.5194/nhess-14-2215-2014
33. Building a landslide hazard indicator with machine learning and land surface models T. Stanley et al. 10.1016/j.envsoft.2020.104692
34. Delineating Non-Susceptible Landslide Areas in China Based on Topographic Index and Quantile Non-Linear Model S. Ma et al. 10.3390/f15040678
35. Semi-quantitative method to identify the vulnerable areas in terms of building aggregation for probable landslide runout at the regional scale: a case study from Soacha Province, Colombia A. Pradhan et al. 10.1007/s10064-019-01533-y
36. Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers G. Amatulli et al. 10.1038/s41597-020-0479-6
37. A global landslide non-susceptibility map G. Jia et al. 10.1016/j.geomorph.2021.107804
38. Generation of a national landslide hazard and risk map for the country of Georgia G. Gaprindashvili & C. Van Westen 10.1007/s11069-015-1958-5
39. Spatial and Temporal Analysis of Global Landslide Reporting Using a Decade of the Global Landslide Catalog C. Dandridge et al. 10.3390/su15043323
40. Analysing the relationship between rainfalls and landslides to define a mosaic of triggering thresholds for regional-scale warning systems S. Segoni et al. 10.5194/nhess-14-2637-2014