75 citations as recorded by crossref.

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3. GIS-based comparative study of Bayes network, Hoeffding tree and logistic model tree for landslide susceptibility modeling W. Chen & S. Zhang 10.1016/j.catena.2021.105344
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17. 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
18. 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
19. Evaluating the performance of multi-temporal synthetic-aperture radar imagery in land-cover mapping using a forward stepwise selection approach L. Mucsi & D. Bui 10.1016/j.rsase.2023.100975
20. Analysis of Changes in Landslide Susceptibility according to Land Use over 38 Years in Lixian County, China J. Liu et al. 10.3390/su131910858
21. Deep learning to assess the effects of land use/land cover and climate change on landslide susceptibility in the Tra Khuc river basin of Vietnam Q. Viet Du et al. 10.1080/10106049.2023.2172218
22. A GIS-Based Approach for Shallow Landslides Risk Assessment in the Giampilieri and Briga Catchments Areas (Sicily, Italy) G. Vegliante et al. 10.3390/geohazards5010011
23. Advanced integration of ensemble learning and MT-InSAR for enhanced slow-moving landslide susceptibility zoning T. Zeng et al. 10.1016/j.enggeo.2024.107436
24. Susceptibility Assessment for Landslide Initiated along Power Transmission Lines S. Liu et al. 10.3390/rs13245068
25. Shallow landslide susceptibility assessment under future climate and land cover changes: A case study from southwest China Z. Guo et al. 10.1016/j.gsf.2023.101542
26. Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping E. Sahin 10.1080/10106049.2020.1831623
27. Hybrid ensemble machine learning approaches for landslide susceptibility mapping using different sampling ratios at East Sikkim Himalayan, India S. Saha et al. 10.1016/j.asr.2021.05.018
28. Soil Micromorphology of Land Cover in Landslide Susceptibility Area in Kelara Subwatershed, Jeneponto, Indonesia A. Ahmad et al. 10.3923/ajps.2022.643.653
29. Landslide susceptibility evaluation and interpretability analysis of typical loess areas based on deep learning L. Chang et al. 10.1016/j.nhres.2023.02.005
30. FR-weighted GeoDetector for landslide susceptibility and driving factors analysis L. Peng et al. 10.1080/19475705.2023.2205001
31. Analysis of soil permeability and C-Organic in landslide events in Tangka Sub-Watershed S. Umam et al. 10.1088/1755-1315/886/1/012101
32. The 21 July 2020 Shaziba landslide in China: Results from multi-source satellite remote sensing W. Wang et al. 10.1016/j.rse.2023.113669
33. Modelling landslides in the Lesser Himalaya region using geospatial and numerical simulation techniques M. Islam & S. Chattoraj 10.1007/s12517-023-11541-8
34. Preface: Natural hazard impacts on technological systems and infrastructures E. Petrova & M. Bostenaru Dan 10.5194/nhess-20-2627-2020
35. Land use changes and climate parameters assessments in a tropical highland region of Cameron Highlands, Malaysia A. Arumugam et al. 10.2166/wcc.2024.552
36. Tempo-Spatial Landslide Susceptibility Assessment from the Perspective of Human Engineering Activity T. Zeng et al. 10.3390/rs15164111
37. Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management Z. Guo et al. 10.1016/j.gsf.2021.101249
38. An assessment of land degradation and its effects on geomorphology using LADA model: a case study of Ilam Province, west of Iran N. Nikpour et al. 10.1007/s12665-022-10292-1
39. Mapping of landslide-prone areas in the Lisu river basin Barru Regency based on binary logistic regression I. Sudarman & A. Ahmad 10.1088/1755-1315/807/2/022081
40. 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
41. Impact study for landslide contributing factors using a multi-criterion approach for landslide susceptibility M. Lourembam Chanu & B. Oinam 10.1007/s12517-021-08264-z
42. Landscape Pattern Change and Ecological Effect in a Typical Mountain–Oasis–Desert Region in the Northwest Region of China H. Meng et al. 10.3390/ijerph20054211
43. Evaluating the influence of road construction on landslide susceptibility in Saudi Arabia’s mountainous terrain: a Bayesian-optimised deep learning approach with attention mechanism and sensitivity analysis S. Alqadhi et al. 10.1007/s11356-023-31352-4
44. A New Approach to Spatial Landslide Susceptibility Prediction in Karst Mining Areas Based on Explainable Artificial Intelligence H. Fang et al. 10.3390/su15043094
45. Investigating the dynamic nature of landslide susceptibility in the Indian Himalayan region A. Sharma & H. Sandhu 10.1007/s10661-024-12440-5
46. Predicting landslide susceptibility based on decision tree machine learning models under climate and land use changes Q. Pham et al. 10.1080/10106049.2021.1986579
47. Monitoring and Mapping Vegetation Cover Changes in Arid and Semi-Arid Areas Using Remote Sensing Technology: A Review R. Almalki et al. 10.3390/rs14205143
48. Landslide Susceptibility Mapping Based on Multitemporal Remote Sensing Image Change Detection and Multiexponential Band Math X. Yu et al. 10.3390/su15032226
49. Modeling Landslide Susceptibility in Forest-Covered Areas in Lin’an, China, Using Logistical Regression, a Decision Tree, and Random Forests C. Chen et al. 10.3390/rs15184378
50. Application of a land use change model to guide regional planning and development in the south basin of the Urmia Lake, Iran L. Mohammadzadeh et al. 10.1007/s12665-021-09837-7
51. Disaster mitigation on lands affected by landslides in Banjarnegara Regency P. Susanti et al. 10.1088/1755-1315/916/1/012026
52. 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
53. Regional early warning model for rainfall induced landslide based on slope unit in Chongqing, China S. Liu et al. 10.1016/j.enggeo.2024.107464
54. An Improved Gray Neural Network Method to Optimize Spatial and Temporal Characteristics Analysis of Land-Use Change Y. Yang et al. 10.1155/2022/2699031
55. Freeze-thaw induced landslides on grasslands in cold regions J. Yang et al. 10.1016/j.catena.2022.106650
56. Analysis of land use/land cover change (LULCC) and debris flow risks in Adama district, Ethiopia, aided by numerical simulation and deep learning-based remote sensing A. Bojer et al. 10.1007/s00477-023-02550-w
57. Reducing Local Correlations Among Causal Factor Classifications as a Strategy to Improve Landslide Susceptibility Mapping T. Xiao et al. 10.3389/feart.2021.781674
58. Mapping Landform and Landslide Susceptibility Using Remote Sensing, GIS and Field Observation in the Southern Cross Road, Malang Regency, East Java, Indonesia S. Bachri et al. 10.3390/geosciences11010004
59. Patterns of influence of different landslide boundaries and their spatial shapes on the uncertainty of landslide susceptibility prediction Y. Xing et al. 10.1007/s11069-023-06025-7
60. The influence of land use and land cover change on landslide susceptibility in the Lower Mekong River Basin C. Dandridge et al. 10.1007/s11069-022-05604-4
61. Geospatial modelling of changes in land use/land cover dynamics using Multi-layer Perceptron Markov chain model in Rajshahi City, Bangladesh N. Dey et al. 10.1016/j.envc.2021.100148
62. Improved tree-based machine learning algorithms combining with bagging strategy for landslide susceptibility modeling T. Zhang et al. 10.1007/s12517-022-09488-3
63. Remote Sensing and GIS in Landslide Management: An Example from the Kravarsko Area, Croatia L. Podolszki & I. Karlović 10.3390/rs15235519
64. Perceived Human-Induced Causes of Landslide in Chattogram Metropolitan Area in Bangladesh Z. Ahmed et al. 10.1007/s41748-022-00304-2
65. Landslide susceptibility evaluation in the Chemoga watershed, upper Blue Nile, Ethiopia H. Desalegn et al. 10.1007/s11069-022-05338-3
66. Land use and land cover as a conditioning factor in landslide susceptibility: a literature review R. Pacheco Quevedo et al. 10.1007/s10346-022-02020-4
67. Fast physically-based model for rainfall-induced landslide susceptibility assessment at regional scale V. Medina et al. 10.1016/j.catena.2021.105213
68. Impact of land use land cover changes on flow uncertainty in Siliana watershed of northwestern Tunisia I. El Ghoul et al. 10.1016/j.catena.2022.106733
69. Evaluation and Prediction of Landslide Susceptibility in Yichang Section of Yangtze River Basin Based on Integrated Deep Learning Algorithm L. Chang et al. 10.3390/rs14112717
70. The use of global versus region-specific data for the prediction of co-seismic landslides A. Lin & L. Wotherspoon 10.1016/j.enggeo.2023.107335
71. Improving pixel-based regional landslide susceptibility mapping X. Wei et al. 10.1016/j.gsf.2024.101782
72. Influence of human activity on landslide susceptibility development in the Three Gorges area Y. Li et al. 10.1007/s11069-020-04264-6
73. Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China W. Jia et al. 10.1371/journal.pone.0251776
74. Characteristics and causes of natural and human-induced landslides in a tropical mountainous region: the rift flank west of Lake Kivu (Democratic Republic of the Congo) J. Maki Mateso et al. 10.5194/nhess-23-643-2023
75. Performance Evaluation of Jatibarang Reservoir Due to Land Use Changing A. Sarminingsih & G. Samudro 10.1088/1755-1315/448/1/012009