57 citations as recorded by crossref.

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23. Automated determination of landslide locations after large trigger events: advantages and disadvantages compared to manual mapping D. Milledge et al. 10.5194/nhess-22-481-2022
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29. Landslide susceptibility assessment based on an incomplete landslide inventory in the Jilong Valley, Tibet, Chinese Himalayas J. Du et al. 10.1016/j.enggeo.2020.105572
30. Visual interpretation of stereoscopic NDVI satellite images to map rainfall-induced landslides F. Fiorucci et al. 10.1007/s10346-018-1069-y
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34. An integrated framework to identify and analyze karst sinkholes V. Zumpano et al. 10.1016/j.geomorph.2019.02.013
35. Spatial and temporal patterns and the socioeconomic impacts of landslides in the tropical and mountainous Colombian Andes E. Aristizábal & O. Sánchez 10.1111/disa.12391
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40. Inventory of landslides triggered by an extreme rainfall event in Marche-Umbria, Italy, on 15 September 2022 M. Santangelo et al. 10.1038/s41597-023-02336-3
41. Retrospective evaluation of landslide susceptibility maps and review of validation practice P. Fleuchaus et al. 10.1007/s12665-021-09770-9
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44. Distribution of landslides caused by heavy rainfall events and an earthquake in northern Aso Volcano, Japan from 1955 to 2016 A. Yano et al. 10.1016/j.geomorph.2018.11.024
45. The influence of forest cover on landslide occurrence explored with spatio-temporal information E. Schmaltz et al. 10.1016/j.geomorph.2017.04.024
46. Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study R. Schlögel et al. 10.5194/nhess-15-2369-2015
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49. Landslide Awareness System (LAwS) to Increase the Resilience and Safety of Transport Infrastructure: The Case Study of Pan-American Highway (Cuenca–Ecuador) P. Miele et al. 10.3390/rs13081564
50. Automatic delineation of geomorphological slope units with <tt>r.slopeunits v1.0</tt> and their optimization for landslide susceptibility modeling M. Alvioli et al. 10.5194/gmd-9-3975-2016
51. Estimates of three-dimensional rupture surface geometry of deep-seated landslides using landslide inventories and high-resolution topographic data M. Bunn et al. 10.1016/j.geomorph.2020.107332
52. Mapping landslide susceptibility using data-driven methods J. Zêzere et al. 10.1016/j.scitotenv.2017.02.188
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54. Effective surveyed area and its role in statistical landslide susceptibility assessments T. Bornaetxea et al. 10.5194/nhess-18-2455-2018
55. Satellite-based landslide distribution mapping with the adoption of deep learning approach in the Kuantan River Basin, Pahang N. Yusri et al. 10.1088/1755-1315/1296/1/012014
56. A hybrid model to overcome landslide inventory incompleteness issue for landslide susceptibility prediction J. Tan et al. 10.1080/10106049.2024.2322066
57. Evaluation of landslide susceptibility models: A comparative study on the part of Western Ghat Region, India S. Bera et al. 10.1016/j.rsase.2018.10.010