47 citations as recorded by crossref.

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7. Land Take and Landslide Hazard: Spatial Assessment and Policy Implications from a Study Concerning Sardinia F. Isola et al. 10.3390/land12020359
8. Landslide susceptibility mapping and management in Western Serbia: an analysis of ANFIS- and SVM-based hybrid models I. Elkhrachy et al. 10.3389/fenvs.2023.1218954
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10. Landslide susceptibility mapping of Noklak Town, Nagaland, North‐east India using bivariate statistical method M. Jamir et al. 10.1002/gj.4595
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13. Dynamics of past forest cover changes and future scenarios with implications for soil degradation in Misiones rainforest, Argentina M. Navarro Rau et al. 10.1016/j.jnc.2023.126391
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18. Landslide Susceptibility Mapping Based on Multitemporal Remote Sensing Image Change Detection and Multiexponential Band Math X. Yu et al. 10.3390/su15032226
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20. Implications of future land-use/cover pattern change on landslide susceptibility at a national level: A scenario-based analysis in Romania M. Jurchescu et al. 10.1016/j.catena.2023.107330
21. GIS-based landslide susceptibility mapping using ensemble methods for Fengjie County in the Three Gorges Reservoir Region, China W. Gong et al. 10.1007/s13762-021-03572-z
22. Impacts of future climate and land cover changes on landslide susceptibility: regional scale modelling in the Val d’Aran region (Pyrenees, Spain) M. Hürlimann et al. 10.1007/s10346-021-01775-6
23. Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models S. Mahato et al. 10.1016/j.gsf.2021.101175
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25. INVESTIGATING THE IMPACT OF PAN SHARPENING ON THE ACCURACY OF LAND COVER MAPPING IN LANDSAT OLI IMAGERY K. Rokni 10.3846/gac.2023.15308
26. Assessing regressive erosion effects: Unveiling riverside land use land cover changes post hydroelectric project construction A. Velastegui-Montoya et al. 10.1016/j.envc.2024.100882
27. Analysis of landslide explicative factors and susceptibility mapping in an andean context: The case of Azuay province (Ecuador) S. Cobos-Mora et al. 10.1016/j.heliyon.2023.e20170
28. Landslide susceptibility prediction considering land use change and human activity: A case study under rapid urban expansion and afforestation in China H. Xiong et al. 10.1016/j.scitotenv.2023.161430
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30. Influence of Earthquakes on Landslide Susceptibility in a Seismic Prone Catchment in Central Asia F. Li et al. 10.3390/app11093768
31. Spatiotemporal changes of landslide susceptibility in response to rainfall and its future prediction — A case study of Sichuan Province, China H. Zheng & M. Ding 10.1016/j.ecoinf.2024.102862
32. Prediction of the future landslide susceptibility scenario based on LULC and climate projections A. Tyagi et al. 10.1007/s10346-023-02088-6
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34. Landslide Susceptibility Using Climatic–Environmental Factors Using the Weight-of-Evidence Method—A Study Area in Central Italy M. Gentilucci et al. 10.3390/app13158617
35. Landslide spatial modelling using unsupervised factor optimisation and regularised greedy forests M. Sameen et al. 10.1016/j.cageo.2019.104336
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37. Structural Changes in the Romanian Economy Reflected through Corine Land Cover Datasets A. Rusu et al. 10.3390/rs12081323
38. Landslide risk of regional roads: Consider the road mileage of expected losses Q. Liu et al. 10.1016/j.trd.2023.103771
39. Assessing and mapping landslide susceptibility using different machine learning methods O. Orhan et al. 10.1080/10106049.2020.1837258
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41. Impact of Land Use/Land Cover Change on Landslide Susceptibility in Rangamati Municipality of Rangamati District, Bangladesh Y. Rabby et al. 10.3390/ijgi11020089
42. Landslide probability mapping by considering fuzzy numerical risk factor (FNRF) and landscape change for road corridor of Uttarakhand, India U. Sur et al. 10.1007/s10668-021-01226-1
43. Landslide-related maintenance issues around mountain road in Dasha River section of Central Cross Island Highway, Taiwan M. Tsao et al. 10.1007/s10064-020-01967-9
44. GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms S. Ali et al. 10.1016/j.gsf.2020.09.004
45. Spatial Prediction of Landslide Susceptibility Using Logistic Regression (LR), Functional Trees (FTs), and Random Subspace Functional Trees (RSFTs) for Pengyang County, China H. Shang et al. 10.3390/rs15204952
46. Terrain visibility impact on the preparation of landslide inventories: a practical example in Darjeeling district (India) T. Bornaetxea et al. 10.5194/nhess-22-2929-2022
47. Effect of Soil Geomechanical Properties and Geo-Environmental Factors on Landslide Predisposition at Mount Oku, Cameroon W. Djukem et al. 10.3390/ijerph17186795