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50. A comparative geological, tectonic and geomorphological assessment of the Charlotte, Regent and Madina landslides, Western area, Sierra Leone Y. Lahai et al. 10.1186/s40677-021-00187-x
51. Mechanism of subsidence-buckling and instability of slopes in thick-layered rigid rock under mining J. Deng et al. 10.1007/s11629-023-7952-6
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53. Mapping of landslide potential in Pyeongchang-gun, South Korea, using machine learning meta-based optimization algorithms M. Fadhillah et al. 10.1016/j.ejrs.2022.03.008
54. A comparative study of regional rainfall-induced landslide early warning models based on RF、CNN and MLP algorithms Y. Liu et al. 10.3389/feart.2024.1419421
55. Determination of Rainfall Thresholds for Landslide Prediction Using an Algorithm-Based Approach: Case Study in the Darjeeling Himalayas, India T. Teja et al. 10.3390/geosciences9070302
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57. Spatial Vulnerability Investigation by Morphotectonic Analysis of the Mandakini River Basin near Kedarnath, Uttarakhand, India using SRTM DEM in a GIS Platform and GPS Data S. Sahu & N. Bhattacharjee 10.17491/jgsi/2024/173913
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59. Comparing characteristics of rainfall- and earthquake-triggered landslides in the Upper Minjiang catchment, China S. Bai et al. 10.1016/j.enggeo.2020.105518
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62. 4D electrical resistivity to monitor unstable slopes in mountainous tropical regions: an example from Munnar, India A. Watlet et al. 10.1007/s10346-023-02029-3
63. Multi-hazard susceptibility mapping of landslides and earthquakes in Bhagirathi Valley region of Uttarakhand Himalaya, India N. Gupta et al. 10.1080/14498596.2024.2409083
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65. IoT-based hydrological monitoring of water-induced landslides: a case study in central Norway E. Oguz et al. 10.1007/s10064-022-02721-z
66. Geomorphological landslide inventory map of the Daunia Apennines, southern Italy F. Ardizzone et al. 10.5194/essd-15-753-2023
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69. 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
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75. Slope deformation, reservoir variation and meteorological data at the Khoko landslide, Enguri hydroelectric basin (Georgia), during 2016–2019 A. Tibaldi et al. 10.5194/essd-13-3321-2021
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151. Mechanism of Co‐Seismic Deformation of the Slow‐Moving La Sorbella Landslide in Italy Revealed by MPM Analysis M. Kohler & A. Puzrin 10.1029/2022JF006618
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927. Evaluation of machine learning-based algorithms for landslide detection across satellite sensors for the 2019 Cyclone Idai event, Chimanimani District, Zimbabwe R. Das & K. Wegmann 10.1007/s10346-022-01912-9
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935. Nationwide Susceptibility Mapping of Landslides in Kenya Using the Fuzzy Analytic Hierarchy Process Model S. Zhou et al. 10.3390/land9120535
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941. Identification of potential failure zones in large progressive landslides: a method to optimize the cost of landslide early warning S. Kumar et al. 10.1007/s11069-024-06685-z
942. Observations and computational multi‐phase modelling in tropical river settings show complex channel changes downstream from rainfall‐triggered landslides D. Panici et al. 10.1002/esp.5841
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947. Future climate change implications in Bhutan from a downscaled and bias‐adjusted CMIP6 multimodel ensemble F. Lehner et al. 10.1002/joc.8623
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949. Rainfall-Induced Landslide Assessment under Different Precipitation Thresholds Using Remote Sensing Data: A Central Andes Case G. Maragaño-Carmona et al. 10.3390/w15142514
950. Thermo-hydro-poro-mechanical responses of a reservoir-induced landslide tracked by high-resolution fiber optic sensing nerves X. Ye et al. 10.1016/j.jrmge.2023.04.004
951. Application of novel distributed fibre-optic sensing for slope deformation monitoring: a comprehensive review A. Acharya & T. Kogure 10.1007/s13762-022-04697-5
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953. Assessment of landslide susceptibility zonation using frequency ratio and statistical index: a case study of Al-Fawar basin, Tartous, Syria H. Abdo 10.1007/s13762-021-03322-1
954. Exploring disaster ontologies from Chinese and Western perspectives: commonalities and nuances S. Goodall et al. 10.1108/DPM-03-2021-0108
955. Simulated or measured soil moisture: which one is adding more value to regional landslide early warning? A. Wicki et al. 10.5194/hess-25-4585-2021
956. Landslide risk assessment considering socionatural factors: methodology and application to Cubatão municipality, São Paulo, Brazil P. Hader et al. 10.1007/s11069-021-04991-4
957. Engineering geomorphological investigation of the Kasavu landslide, Viti Levu, Fiji A. Ram et al. 10.1007/s10346-019-01191-x
958. A novel landslide susceptibility optimization framework to assess landslide occurrence probability at the regional scale for environmental management X. Sun et al. 10.1016/j.jenvman.2022.116108
959. Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis Z. Yang et al. 10.3390/rs14163879
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961. Global Dynamic Rainfall-Induced Landslide Susceptibility Mapping Using Machine Learning B. Li et al. 10.3390/rs14225795
962. Landslide susceptibility mapping with r.landslide: A free open-source GIS-integrated tool based on Artificial Neural Networks L. Bragagnolo et al. 10.1016/j.envsoft.2019.104565
963. Comparative Analysis of Machine Learning, Statistical, and MCDA Methods for Rainfall-Induced Landslide Susceptibility Mapping in the Eco-Sensitive Koyna River Basin of India A. Patil et al. 10.1007/s40098-024-00957-y
964. Research on SSA-LSTM-Based Slope Monitoring and Early Warning Model S. Yang et al. 10.3390/su141610246
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966. Editorial: Big Earth Data for Disaster Risk Reduction F. Chen et al. 10.3389/feart.2021.727547
967. Research on Landslide Detection in SAR Images Based on Multi-channel Change Detection Fusion Z. Li et al. 10.1088/1742-6596/2562/1/012003
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969. Detection of slow‐moving landslides through automated monitoring of surface deformation using Sentinel‐2 satellite imagery M. Van Wyk de Vries et al. 10.1002/esp.5775
970. Rainfall infiltration and slope stability of alpine colluvial terraces subject to storms (NE Italy) P. Paronuzzi & A. Bolla 10.1016/j.enggeo.2023.107199
971. Roads and landslides in Nepal: how development affects environmental risk B. McAdoo et al. 10.5194/nhess-18-3203-2018
972. 2-D Cross-Plot Model Analysis Using Integrated Geophysical Methods for Landslides Assessment M. Zakaria et al. 10.3390/app11020747
973. An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, Pakistan M. Basharat et al. 10.1080/19475705.2023.2210255
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979. Physics-informed data assimilation model for displacement prediction of hydrodynamic pressure-driven landslide Y. Liu et al. 10.1016/j.compgeo.2024.106085
980. Démarche d'analyse et de diagnostic du risque de glissement de terrain : de l'identification à une mesure proactive A. Gruzelle & S. Lebaut 10.4000/physio-geo.14697
981. Three decades of landslide activity in western Nepal: new insights into trends and climate drivers A. Muñoz-Torrero Manchado et al. 10.1007/s10346-021-01632-6
982. Improving the forecast performance of landslide susceptibility mapping by using ensemble gradient boosting algorithms H. Ha et al. 10.1007/s10668-024-04694-3
983. Evaluation and prediction of compound geohazards in highly urbanized regions across China's Greater Bay Area K. He et al. 10.1016/j.jclepro.2024.141641
984. The Alasu rock avalanche in the Tianshan Mountains, China: fragmentation, landforms, and kinematics Q. Lin et al. 10.1007/s10346-023-02167-8
985. Assessing the effectiveness of landslide slope stability by analysing structural mitigation measures and community risk perception A. Kamal et al. 10.1007/s11069-023-05947-6
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987. Identifying Potential Landslides on Giant Niexia Slope (China) Based on Integrated Multi-Remote Sensing Technologies X. Dong et al. 10.3390/rs14246328
988. Post‐landslide soil and vegetation recovery in a dry, montane system is slow and patchy B. Buma & Ł. Pawlik 10.1002/ecs2.3346
989. Real‐Time Forecast of Catastrophic Landslides via Dragon‐King Detection Q. Lei et al. 10.1029/2022GL100832
990. SHAP-PDP hybrid interpretation of decision-making mechanism of machine learning-based landslide susceptibility mapping: A case study at Wushan District, China D. Sun et al. 10.1016/j.ejrs.2024.06.005
991. Impact of precipitation on Beishan landslide deformation from 1986 to 2023 M. Liu et al. 10.3389/feart.2023.1304969
992. Spatial Prediction of Landslide Susceptibility using Various Machine Learning Based Binary Classification Methods N. Anh et al. 10.17491/jgsi/2024/174002
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994. Guidelines for Studying Diverse Types of Compound Weather and Climate Events E. Bevacqua et al. 10.1029/2021EF002340
995. Consideration of spatial heterogeneity in landslide susceptibility mapping using geographical random forest model R. Quevedo et al. 10.1080/10106049.2021.1996637
996. Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms B. Thai Pham et al. 10.3390/su11164386
997. Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms V. Vakhshoori et al. 10.3390/w11112292
998. Evaluation of Slope Stability in an Urban Area as a Basis for Territorial Planning: A Case Study P. Carrión-Mero et al. 10.3390/app11115013
999. Hazard Assessment of Debris Flow Based on Infinite Irrelevance Method and Probabilistic Neural Network Coupling Model C. Wang et al. 10.1109/ACCESS.2022.3162597
1000. A depth-averaged SPH study on spreading mechanisms of geophysical flows in debris basins: Implications for terminal barrier design requirements S. Goodwin & C. Choi 10.1016/j.compgeo.2021.104503
1001. Influence of human activity on landslide susceptibility development in the Three Gorges area Y. Li et al. 10.1007/s11069-020-04264-6
1002. Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping N. Yokoya et al. 10.1109/TGRS.2020.3035469
1003. Century-long history of rural community landslide risk reduction J. Klimeš et al. 10.1016/j.ijdrr.2020.101756
1004. A near-real-time global landslide incident reporting tool demonstrator using social media and artificial intelligence C. Pennington et al. 10.1016/j.ijdrr.2022.103089
1005. Spatiotemporal Characteristics and Rainfall Thresholds of Geological Landslide Disasters in ASEAN Countries W. Lu et al. 10.3390/atmos15050599
1006. Unsupervised Change Detection Methods Applied to Landslide Mapping: Case Study in São Sebastião, Brazil G. Moço et al. 10.1111/tgis.13256
1007. GIS-based evolution and comparisons of landslide susceptibility mapping of the East Sikkim Himalaya N. Gupta et al. 10.1080/19475683.2022.2040587
1008. Cost-benefit methodology for road slope stabilisation E. Robson et al. 10.1016/j.trgeo.2024.101282
1009. Rainfall threshold for prediction of shallow landslides in the Garhwal Himalaya, India S. Saha & B. Bera 10.1016/j.geogeo.2024.100285
1010. Deformation Feature Extraction for GNSS Landslide Monitoring Series Based on Robust Adaptive Sliding-Window Algorithm G. Huang et al. 10.3389/feart.2022.884500
1011. Assessment of Ground Instabilities’ Causative Factors Using Multivariate Statistical Analysis Methods: Case of the Coastal Region of Northwestern Rif, Morocco H. Tribak et al. 10.3390/geosciences12100383
1012. Discriminating Landslide Waveforms in Continuous Seismic Data Using Power Spectral Density Analysis R. Rekapalli et al. 10.1029/2024GL110466
1013. 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
1014. Vulnerability evaluation utilizing AHP and an ensemble model in a few landslide-prone areas of the Western Ghats, India S. Anchima et al. 10.1007/s10668-023-04149-1
1015. Rainfall Threshold for Shallow Landslides Initiation and Analysis of Long-Term Rainfall Trends in a Mediterranean Area A. Roccati et al. 10.3390/atmos11121367
1016. The geoenvironmental factors influencing slope failures in the Majerda basin, Algerian-Tunisian border I. Arif et al. 10.1007/s41207-023-00423-w
1017. Village relocation as solution of the landslide risk, is it always the right choice? The case study of Cavallerizzo ghost village (Calabria, southern Italy) F. Ietto et al. 10.1016/j.ijdrr.2022.103267
1018. Pixel-Based Spatio-Statistical Analysis of Landslide Probability in Humid and Seismically Active Areas of Himalaya and Hindukush S. Khan et al. 10.3390/su16093556
1019. Life and death of slow-moving landslides P. Lacroix et al. 10.1038/s43017-020-0072-8
1020. Revolutionising construction safety: benefits of harnessing artificial intelligence tools for dynamic monitoring of safety compliance on construction projects in Nigeria I. Adamu et al. 10.1108/IJBPA-02-2024-0050
1021. Parallel simulations for fast‐moving landslides: Space‐time mesh adaptation and sharp tracking of the wetting front F. Gatti et al. 10.1002/fld.5186
1022. Assessing the Effectiveness of TRIGRS for Predicting Unstable Areas in a Tropical Mountain Basin (Colombian Andes) R. Marin et al. 10.1007/s10706-020-01630-w
1023. Lethality level analysis of secondary landslides based on field survey data: a case study of Luding earthquake L. Yao et al. 10.1007/s10346-023-02172-x
1024. Landslides in the glaciated mountains of the Cordillera Blanca, Peru—types, spatial distribution, and conditioning factors J. Klimeš et al. 10.1007/s10346-024-02387-6
1025. The Role of Hydraulic Hysteresis on the Hydrological Response of Pyroclastic Silty Covers G. Rianna et al. 10.3390/w11030628
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