76 citations as recorded by crossref.

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35. Application of Machine Learning Algorithms for Soil Erosion Susceptibility Estimation in Gumani River Basin, Eastern India N. Islam Saikh et al. 10.17491/jgsi/2024/173839
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37. Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan D. Golovko et al. 10.3390/rs9090943
38. Flood susceptibility mapping of Cheongju, South Korea based on the integration of environmental factors using various machine learning approaches L. Widya et al. 10.1016/j.jenvman.2024.121291
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43. Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy) A. Trigila et al. 10.1016/j.geomorph.2015.06.001
44. Development of Sinkhole Susceptibility Map of East Central Florida Y. Kim et al. 10.1061/(ASCE)NH.1527-6996.0000404
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47. Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability M. Di Napoli et al. 10.1007/s10346-020-01392-9
48. Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects S. Steger et al. 10.1016/j.scitotenv.2021.145935
49. Investigation of automatic feature weighting methods (Fisher, Chi-square and Relief-F) for landslide susceptibility mapping E. Kutlug Sahin et al. 10.1080/10106049.2016.1170892
50. Land Suitability Assessment for Pistachio Cultivation Using GIS and Multi-Criteria Decision-Making: A Case Study of Mardin, Turkey Ç. Mercan & V. Acibuca 10.1007/s10661-023-11899-y
51. GIS-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India N. Saikh & P. Mondal 10.1016/j.nhres.2023.05.004
52. Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al. 10.1016/j.gsf.2024.101822
53. The typology of slope slides of the cliff coast of Safi-Morocco, and the role of the clay layer in triggering failure M. Ayt Ougougdal et al. 10.1016/j.jafrearsci.2020.103878
54. Debris flow susceptibility mapping using frequency ratio and seed cells, in a portion of a mountain international route, Dry Central Andes of Argentina M. Esper Angillieri 10.1016/j.catena.2020.104504
55. Different Approaches to Use Morphometric Attributes in Landslide Susceptibility Mapping Based on Meso-Scale Spatial Units: A Case Study in Rio de Janeiro (Brazil) V. Canavesi et al. 10.3390/rs12111826
56. Effect of Soil Geomechanical Properties and Geo-Environmental Factors on Landslide Predisposition at Mount Oku, Cameroon W. Djukem et al. 10.3390/ijerph17186795
57. Modelling the occurrence of gullies at two spatial scales in the Olteţ Drainage Basin (Romania) M. Jurchescu & F. Grecu 10.1007/s11069-015-1981-6
58. Land subsidence hazard modeling: Machine learning to identify predictors and the role of human activities O. Rahmati et al. 10.1016/j.jenvman.2019.02.020
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60. Optimized ensemble-based flood hazard mapping in low altitude subtropical riverine terrane M. Pandey et al. 10.1007/s44288-024-00037-x
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63. 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
64. Assessment and validation of GIS-based landslide susceptibility maps: a case study from Feltrino stream basin (Central Italy) M. Sciarra et al. 10.1007/s10064-016-0954-7
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