33 citations as recorded by crossref.

1. Integrating Expert Knowledge with Statistical Analysis for Landslide Susceptibility Assessment at Regional Scale C. Chalkias et al. 10.3390/geosciences6010014
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3. Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data S. Plank et al. 10.3390/rs8040307
4. Exploring event landslide mapping using Sentinel-1 SAR backscatter products M. Santangelo et al. 10.1016/j.geomorph.2021.108021
5. Landslide Detection Using Residual Networks and the Fusion of Spectral and Topographic Information M. Sameen & B. Pradhan 10.1109/ACCESS.2019.2935761
6. Landslide Mapping and Characterization through Infrared Thermography (IRT): Suggestions for a Methodological Approach from Some Case Studies W. Frodella et al. 10.3390/rs9121281
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8. Mapping of shallow landslides with object-based image analysis from unmanned aerial vehicle data R. Comert et al. 10.1016/j.enggeo.2019.105264
9. Landslide inventory map of the upper Sinni River valley, Southern Italy M. Santangelo et al. 10.1080/17445647.2014.949313
10. Exploring a landslide inventory created by automated web data mining: the case of Italy R. Franceschini et al. 10.1007/s10346-021-01799-y
11. Applications of Terrestrial Laser Scanning in Geomorphology Y. HAYAKAWA & T. OGUCHI 10.5026/jgeography.125.299
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13. Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives M. Scaioni et al. 10.3390/rs6109600
14. Landslide Detection Mapping Employing CNN, ResNet, and DenseNet in the Three Gorges Reservoir, China T. Liu et al. 10.1109/JSTARS.2021.3117975
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16. Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management D. Giordan et al. 10.5194/nhess-18-1079-2018
17. Spatial prediction of landslide-susceptible zones in El-Qaá area, Egypt, using an integrated approach based on GIS statistical analysis S. Abuzied & H. Alrefaee 10.1007/s10064-018-1302-x
18. r.survey: a tool for calculating visibility of variable-size objects based on orientation T. Bornaetxea & I. Marchesini 10.1080/13658816.2021.1942476
19. Impact of event landslides on road networks: a statistical analysis of two Italian case studies M. Donnini et al. 10.1007/s10346-017-0829-4
20. Recognition of large scale deep-seated landslides in forest areas of Taiwan using high resolution topography C. Lin et al. 10.1016/j.jseaes.2012.10.022
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22. Criteria for the optimal selection of remote sensing optical images to map event landslides F. Fiorucci et al. 10.5194/nhess-18-405-2018
23. Generating an optimal DTM from airborne laser scanning data for landslide mapping in a tropical forest environment K. Razak et al. 10.1016/j.geomorph.2013.02.021
24. Évaluation de l’aléa glissements de terrain : état de l’art et perspectives pour la cartographie réglementaire en France Y. Thiery & M. Terrier 10.1051/geotech/2019003
25. AI-Based Susceptibility Analysis of Shallow Landslides Induced by Heavy Rainfall in Tianshui, China T. Qi et al. 10.3390/rs13091819
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27. Improvement of landslide hazard assessments for regulatory zoning in France: STATE–OF–THE-ART perspectives and considerations Y. Thiery et al. 10.1016/j.ijdrr.2020.101562
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31. Geohazard Recognition and Inventory Mapping Using Airborne LiDAR Data in Complex Mountainous Areas C. Guo et al. 10.1007/s12583-021-1467-2
32. Preface: Landslide–transport network interactions F. Taylor et al. 10.5194/nhess-20-2585-2020
33. Effectiveness of visually analyzing LiDAR DTM derivatives for earth and debris slide inventory mapping for statistical susceptibility modeling H. Petschko et al. 10.1007/s10346-015-0622-1