1546 citations as recorded by crossref.

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5. Deadly Myanmar mine disaster caused by poor planning, say data sleuths A. Silver
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12. Mapping Landslide Susceptibility Using Machine Learning Algorithms and GIS: A Case Study in Shexian County, Anhui Province, China Z. Wang et al.
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14. Estimating Rainfall Thresholds for Landslide Occurrence in the Bhutan Himalayas A. Dikshit et al.
15. A high-precision catalogue of landslide events in China based on news text mining with large language model B. Zhao et al.
16. Evaluación de la cinemática del deslizamiento de Cuenca en los Andes de Perú central mediante técnicas fotogramétricas y geodésicas W. Quiroz et al.
17. Performance of logistic regression and support vector machine conjunction with the GIS and RS in the landslide susceptibility assessment: Case study in Nakhon Si Thammarat, southern Thailand K. Prathom & C. Sujitapan
18. An optimized non-landslide sampling method for Landslide susceptibility evaluation using machine learning models S. Xu et al.
19. Towards a web service for rapid landslide mapping based on Copernicus data F. Albrecht et al.
20. Framework for rainfall-triggered landslide-prone critical infrastructure zonation K. Gnyawali et al.
21. Utilization of google maps for depicting landslide pattern in Indonesia S. Sukristiyanti et al.
22. Landslide Characterization Applying Sentinel-1 Images and InSAR Technique: The Muyubao Landslide in the Three Gorges Reservoir Area, China C. Zhou et al.
23. Investigation of the dynamic process of the Xinmo landslide using the discrete element method Z. Liu et al.
24. Methodologies for functional recovery assessment of hilly roads situated in the Indian Himalayan region R. Kumar et al.
25. Landslide Displacement Prediction Based on the VMD–TCN Hybrid Model C. Xu et al.
26. Study on Numerical Model and Dynamic Response of Ring Net in Flexible Rockfall Barriers C. Xia et al.
27. Development and Assessment of GIS-Based Landslide Susceptibility Mapping Models Using ANN, Fuzzy-AHP, and MCDA in Darjeeling Himalayas, West Bengal, India A. Saha et al.
28. Dynamics and thermodynamics of extreme rainfall event over different subregions of Himachal Pradesh during 8–10 July, 2023 P. Ancy et al.
29. Study on Optimal Pile Length in Load Section of Double-Row Buried Pile under Overtopping Failure Mode X. Li et al.
30. Triggering mechanics and early warning for snowmelt-rainfall-induced loess landslide K. Wulamu et al.
31. Characteristics of failure area and failure mechanism of a landslide in Yingjiang County, Yunnan, China G. Shi et al.
32. Landslide detection in the Himalayas using machine learning algorithms and U-Net S. Meena et al.
33. An Increasing Trend of Landslides as a Consequence of the Global Change J. Remondo et al.
34. The damability function: a probabilistic approach to regional landslide dam susceptibility analysis applied to the Oregon Coast Range, USA P. Morgan et al.
35. A deep learning-based model for endorsing predictive accuracies of landslide prediction: insights into soil moisture dynamics K. Ebrahim et al.
36. Increasing landslide susceptibility and intensity under climate change for Aotearoa New Zealand L. Dreyer et al.
37. Exploring performance and robustness of shallow landslide susceptibility modeling at regional scale using different training and testing sets M. Conforti et al.
38. Comparison between mechanical and hydrological reinforcement effects of cultivated plants on shallow slope stability M. Bordoni et al.
39. Effect of spatial resolution and data splitting on landslide susceptibility mapping using different machine learning algorithms M. Abraham et al.
40. MiMapper: A Cloud-Based Multi-Hazard Mapping Tool for Nepal C. Price et al.
41. Divergent patterns of landslide activity and triggering factors at a local scale of a single mountain massif (Island Beskid Mts., Western Carpathians, Poland) M. Wistuba et al.
42. A comparative geological, tectonic and geomorphological assessment of the Charlotte, Regent and Madina landslides, Western area, Sierra Leone Y. Lahai et al.
43. Mechanism of subsidence-buckling and instability of slopes in thick-layered rigid rock under mining J. Deng et al.
44. Mapping precipitation-triggered landslide risks in global human settlements K. Wang et al.
45. Mapping of landslide potential in Pyeongchang-gun, South Korea, using machine learning meta-based optimization algorithms M. Fadhillah et al.
46. Casual-Nuevo Alausí Landslide (Ecuador, March 2023): A Case Study on the Influence of the Anthropogenic Factors L. Pilatasig et al.
47. Application of artificial intelligence in three aspects of landslide risk assessment: A comprehensive review R. He et al.
48. Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers B. Pham et al.
49. Evaluation of the impact of climate change on rainfall for potential landslide triggering in Japan H. Tsunetaka et al.
50. Leveraging local knowledge for landslide disaster risk reduction in an urban informal settlement in Manado, Indonesia E. MacAfee et al.
51. 4D electrical resistivity to monitor unstable slopes in mountainous tropical regions: an example from Munnar, India A. Watlet et al.
52. Rapid Deformation Identification and Adaptive Filtering with GNSS TDCP Under Different Scenarios and Its Application in Landslide Monitoring M. Wu et al.
53. The impact of the aggregation formula on indicator-based method for the assessment of building susceptibility to hydro-meteorological hazards R. Agliata et al.
54. Differences in factors determining landslide hazards among three types of landslides in Japan Y. Shinohara & Y. Watanabe
55. 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.
56. Preface: Landslide–transport network interactions F. Taylor et al.
57. Exploring Various Deep Learning Models for High-Precision Landslide Tracing in Very-High Resolution Remote Sensing Imagery H. Nguyen et al.
58. Old but still active: > 18 ka history of rock slope failures affecting a flysch anticline M. Břežný et al.
59. Three-dimensional upper bound perturbation method for stability of slopes based on rigid translational-rotational coupled elements T. Tan et al.
60. Multi-model combination in key steps for landslide susceptibility modeling and uncertainty analysis: a case study in Baoji City, China L. Liu & J. Deng
61. Future changes in precipitation-caused landslide frequency in British Columbia S. Sobie
62. Imaging one of the largest Alpine slope instabilities with 3D seismic first-arrival traveltime tomography T. Kiers et al.
63. When image correlation is needed: Unravelling the complex dynamics of a slow-moving landslide in the tropics with dense radar and optical time series A. Dille et al.
64. A revised landslide inventory of the Campania region (Italy) F. Fusco et al.
65. Acid rain: an unsuspected factor predisposing Panzhihua airport landslide, China K. Li et al.
66. A modeling framework for assessing the future changes in the occurrence of extreme rain-induced landslides X. Zhang et al.
67. A Regularization Method for Landslide Thickness Estimation L. Borgatti et al.
68. Building a landslide hazard indicator with machine learning and land surface models T. Stanley et al.
69. The research on landslide detection in remote sensing images based on improved DeepLabv3+ method Y. Li
70. Seismic, Field, and Remote Sensing Analysis of the 13 February 2024 Çöpler Gold Mine Landslide, Erzincan, Türkiye P. Büyükakpınar et al.
71. Landslides across the USA: occurrence, susceptibility, and data limitations B. Mirus et al.
72. Low-Power, Flexible Sensor Arrays with Solderless Board-to-Board Connectors for Monitoring Soil Deformation and Temperature S. Wielandt et al.
73. Permafrost Degradation: Mechanisms, Effects, and (Im)Possible Remediation D. Baillarget & G. Scaringi
74. Time-Lapse Electrical Resistivity Tomography (TL-ERT) for Landslide Monitoring: Recent Advances and Future Directions V. Lapenna & A. Perrone
75. Bayesian inverse analysis with field observation for slope failure mechanism and reliability assessment under rainfall accounting for nonstationary characteristics of soil properties X. Liu et al.
76. Optimization of Factors of Safety and Displacements of Unsaturated Soil Slopes by the Bioinspired Metaheuristic Method K. Waris & B. Basha
77. A national landslide inventory for Denmark G. Luetzenburg et al.
78. ERT-based experimental integrated approach for soil hydrological characterization in rainfall-induced shallow landslides prone areas V. Vivaldi et al.
79. Timely prediction potential of landslide early warning systems with multispectral remote sensing: a conceptual approach tested in the Sattelkar, Austria D. Hermle et al.
80. A multi-scale approach for deterministic analysis of landslide triggering and mass flow mechanism at Kaliasaur (Rudraprayag) A. Sajwan et al.
81. Synthetic libraries of urban landslide simulations to identify slope failure hotspots and drivers across spatial scales and landscapes E. Bozzolan et al.
82. Integrated Landslide Hazard Assessment Using Machine Learning, Rainfall Threshold, and RAMMS Based Rockfall Simulation in NH-05, Himachal Pradesh, India M. Singh et al.
83. Determination of the Probabilities of Landslide Events—A Case Study of Bhutan R. Sarkar & K. Dorji
84. Landslide Hazard and Rainfall Threshold Assessment: Incorporating Shallow and Deep-Seated Failure Mechanisms with Physics-Based Models R. Marin et al.
85. The Role of Soil Type in Triggering Shallow Landslides in the Alps (Lombardy, Northern Italy) F. Luino et al.
86. Landslide Hazard and Exposure Modelling in Data‐Poor Regions: The Example of the Rohingya Refugee Camps in Bangladesh R. Emberson et al.
87. Active landslide detection using integrated remote sensing technologies for a wide region and multiple stages: A case study in southwestern China H. Lu et al.
88. Soil Moisture Retrieval in Slow-Moving Landslide Region Using SAOCOM $L$-Band: A Radiative Transfer Model Approach D. Rana et al.
89. A python system for regional landslide susceptibility assessment by integrating machine learning models and its application Z. Guo et al.
90. Application of Acoustic Emission Technique in Landslide Monitoring and Early Warning: A Review J. Song et al.
91. Comparative analysis of traditional and Gaussian Analytical Hierarchy Process (AHP) methods for landslide susceptibility assessment R. Marques-Carvalho et al.
92. Spatiotemporal assessment of multi hazard risk using graph based analysis for case studies in India H. Ekkirala & M. Ramesh
93. A framework for safer land use planning: Integrating RS-GIS and bivariate-MCDM for landslide susceptibility modeling in the Western Himalayan region of Himachal Pradesh, India S. Dhiman et al.
94. Indicator-based approach for the assessment of intrinsic physical vulnerability of the built environment to hydro-meteorological hazards: Review of indicators and example of parameters selection for a sample area R. Agliata et al.
95. Influence of buffer distance on environmental geological hazard susceptibility assessment Z. Wang et al.
96. Spatiotemporal prediction of landslide displacement using deep learning approaches based on monitored time-series displacement data: a case in the Huanglianshu landslide N. Xi et al.
97. Revealing the Effect of Typhoons on the Stability of Residual Soil Slope by Wind Tunnel Test Z. Guo et al.
98. Spatio-temporal cluster analysis of recent Italian landslides M. Tonini et al.
99. Laboratory Experiments of Surge Pressure Loads Acting on Downstream Dams and Reservoir Banks Caused by Landslides in Narrow, Elongated Reservoirs H. Wang et al.
100. Integrating Multi-Temporal LiDAR and AHP for Landslide Detection and Susceptibility Mapping in Prince George’s County, Maryland M. Okegbola et al.
101. The Influence of Gravel Particle Diameter and Slope Angle on a Rockfall–Cushion Layer Collision S. Duan et al.
102. A framework to optimize a designed geotechnical system probabilistically using MLP-ANN and ELECTERE decision making – a nailed wall study P. Dastpak et al.
103. Spatial understanding of historical and future landslide variation in Africa L. Nahayo et al.
104. Landslides after wildfire: initiation, magnitude, and mobility F. Rengers et al.
105. Overcoming the data limitations in landslide susceptibility modeling J. Woodard & B. Mirus
106. Probabilistic Hydrological Estimation of LandSlides (PHELS): global ensemble landslide hazard modelling A. Felsberg et al.
107. Study on characteristics and impact of Kalikhola landslide, Manipur, NE India, using UAV photogrammetry R. Pattanaik & Y. Singh
108. Combining interferometry and wave equation tomography for near surface characterization: 3-D imaging of the Harmalière alpine landslide G. Provenzano et al.
109. GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms S. Ali et al.
110. Did they blow it? Time-lapse velocity variations during an open-pit mine slope failure using seismic noise interferometry T. De Wit & R. Snieder
111. Causes and triggers of deep-seated hillslope instability in the tropics – Insights from a 60-year record of Ikoma landslide (DR Congo) A. Dille et al.
112. A hybrid machine learning model for landslide-oriented risk assessment of long-distance pipelines H. Wen et al.
113. Hazard assessment for regional typhoon-triggered landslides by using physically-based model – a case study from southeastern China Z. Guo et al.
114. Identification and Analysis of Landslides in the Ahai Reservoir Area of the Jinsha River Basin Using a Combination of DS-InSAR, Optical Images, and Field Surveys Y. Li et al.
115. Performance evaluation for four GIS-based models purposed to predict and map landslide susceptibility: A case study at a World Heritage site in Southwest China Y. Jiao et al.
116. Shear surface undulations modulate clayey gouge strength and contribute to divergent landslide acceleration W. Schulz et al.
117. Relationship between continuous or discontinuous of controlling factors and landslide susceptibility in the high-cold mountainous areas, China H. Shu et al.
118. Topographic Analysis of Landslide Distribution Using AW3D30 Data A. Nonomura et al.
119. Slope Unit Maker (SUMak): an efficient and parameter-free algorithm for delineating slope units to improve landslide modeling J. Woodard et al.
120. A Spatial Landslide Risk Assessment Based on Hazard, Vulnerability, Exposure, and Adaptive Capacity T. Tran et al.
121. Multi-coal seam mining-induced collapse and deformation evolution of high steep slopes of the Shaomi collapse, Guizhou, China B. Shen et al.
122. Granular flow simulation in a centrifugal acceleration field M. Cabrera et al.
123. Experimental study on the stability of vegetated earthen slopes under intense rainfall X. Song & Y. Tan
124. Monitoring strain evolution in water-sand systems using distributed acoustic sensing for geohazard early warning Y. Li et al.
125. Calibration of the microparameters of the discrete element method using a relevance vector machine and its application to rockfill materials C. Ma et al.
126. Rainfall Infiltration through Stratified Colluvial Deposits: Analytical Approach vs. Numerical Modelling P. Paronuzzi et al.
127. Landslide timing and rainfall regimes in a rapidly urbanizing tropical mountain valley in Colombia E. Aristizábal et al.
128. An ensemble random forest tree with SVM, ANN, NBT, and LMT for landslide susceptibility mapping in the Rangit River watershed, India S. Ali et al.
129. Rapid Detection of Landslides for the Timely Response of Disaster Mitigation and Relief D. Liu & G. Liu
130. Analysis of Changes in Landslide Susceptibility according to Land Use over 38 Years in Lixian County, China J. Liu et al.
131. The 2020 Hpakant Jade Mine Disaster, Myanmar: A multi-sensor investigation for slope failure Y. Lin et al.
132. Impact of topography on in situ soil wetness measurements for regional landslide early warning – a case study from the Swiss Alpine Foreland A. Wicki et al.
133. Utility of a swath laser rangefinder for characterizing mass movement flow depth and landslide initiation M. Obryk et al.
134. Slope-specific rainfall thresholds for regional landslide early warning systems X. Xie et al.
135. Atmospheric rivers catalyze snowmelt and contribute to chains of landslides H. Aslan et al.
136. Synergistic effect of rainfall and pipe leakage erosion on the formation and development of loess caves in Weinan city, Loess Plateau, Northwest China G. Zhou et al.
137. Landslide Susceptibility Prediction Considering Regional Soil Erosion Based on Machine-Learning Models F. Huang et al.
138. A Conditional Probability-Based Model for Mountainous Geological Hazard Susceptibility Assessment Y. Wang et al.
139. 30-year record of Himalaya mass-wasting reveals landscape perturbations by extreme events J. Jones et al.
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141. “Understanding livelihood insecurity due to landslides in the mid-hill of Nepal: A case study of Bahrabise Municipality” M. Shrestha et al.
142. Deformation and Failure Mechanism of a Massive Ancient Anti-Dip River-Damming Landslide in the Upper Jinsha River Y. Li et al.
143. Precipitation Characteristics and Future Changes Over the Southern Slope of Tibetan Plateau Simulated by a High‐Resolution Global Nonhydrostatic Model Y. Na et al.
144. Resilience assessment of reinforced concrete buildings in the Indian Himalayan region under flow-type landslides R. Kumar et al.
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146. Landslide susceptibility and mobilization rates in the Mount Elgon region, Uganda J. Broeckx et al.
147. Landslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps S. Bhagya et al.
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153. Introduce a framework for landslide risk assessment using geospatial analysis: a case study from Kegalle District, Sri Lanka E. Perera et al.
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155. A Regional-Scale Landslide Early Warning System Based on the Sequential Evaluation Method: Development and Performance Analysis J. Park et al.
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158. Spatiotemporal distribution characteristics, causes, and prevention advice of fatal geohazards in Jiangxi Province, China C. Shao et al.
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163. Türkiye Cumhuriyeti’nin 100. Yılında Türkiye Adresli Yayınların Dünya Heyelan Literatürüne Katkısı C. Gökçeoğlu
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168. Correlation between Acoustic Emission Behaviour and Dynamics Model during Three-Stage Deformation Process of Soil Landslide L. Deng et al.
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175. Flash flood and landslide susceptibility analysis for a mountainous roadway in Vietnam using spatial modeling C. Luu et al.
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180. Improving Landslide Susceptibility Assessment Through Non-Landslide Sampling Strategies L. Tu et al.
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187. Landslide susceptibility mapping using physics-guided machine learning: a case study of a debris flow event in Colorado Front Range T. Pei & T. Qiu
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189. Integration of effective antecedent rainfall to improve the performance of rainfall thresholds for landslide early warning in Wanzhou District, China X. Liang et al.
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191. Systematic Quantification and Assessment of Digital Image Correlation Performance for Landslide Monitoring D. Hermle et al.
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196. Mechanics of coseismic and postseismic acceleration of active landslides M. Kohler & A. Puzrin
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203. Prototype of an IoT-Based Low-Cost Sensor Network for the Hydrological Monitoring of Landslide-Prone Areas P. Marino et al.
204. Assessing Historical Landslide Risk Management Based on Trigger Magnitude and Consequences: A Case Study from the Rokko Mountains, Kobe, Japan T. Sato & Y. Shuin
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206. Empowerment of Farmer Institutions in Improving Farmer’s Bargaining Position M. Sasmi et al.
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236. An Improved Spatial Clustering Method for Automatic Detection of Active Geohazards in Lanzhou Y. Ma et al.
237. Understanding the geo-environmental drivers and their potentiality to landslide susceptibility in the Lish-Gish-Chel River basin of Darjeeling Himalayas, India B. Mandal & S. Das
238. Landslide Risk Assessment in a Century-Old Tea Plantation Range Following Monsoonal Extremes in the Western Ghats of Kerala, India K. George et al.
239. A ground instabilities inventory between Tetouan and Jebha (Morocco): mapping, description and analysis H. Tribak et al.
240. Sustainability Nexus AID: landslides and land subsidence M. Motagh et al.
241. The influence of sampling strategies on shallow landslide susceptibility modelling in a mountainous area K. Ersayin
242. Spatial modelling of shallow landslide susceptibility: a study from the southern Western Ghats region of Kerala, India. A. Achu et al.
243. 降雨诱发深层老滑坡复活变形的动态作用机制 K. Song et al.
244. Advancing predictive accuracy of shallow landslide using strategic data augmentation H. Qiu et al.
245. Indicator-based approach for assigning physical vulnerability of the houses to landslide hazard in the Himalayan region of India S. Bera et al.
246. Mapping landslide susceptibility in Wolaita Zone, Ethiopia, using geospatial techniques and multi-criteria decision-making analysis S. Fakana et al.
247. Integration of information value with machine learning method for an enhanced predictive performance in landslide susceptibility mapping B. Joshi et al.
248. Forecasting landslides using SIGMA model: a case study from Idukki, India M. Abraham et al.
249. Characterization and deformation monitoring of ancient Lohar Gali Landslide, Muzaffarabad, Pakistan S. Kazmi et al.
250. Landslides caught on seismic networks and satellite radars A. Manconi & A. Mondini
251. Performance Study of Landslide Detection Using Multi-Temporal SAR Images Y. Lin et al.
252. Early warning system for risk assessment in geotechnical engineering using Kolmogorov-Arnold networks S. Lin et al.
253. Reconstruction and Characterisation of Past and the Most Recent Slope Failure Events at the 2021 Rock-Ice Avalanche Site in Chamoli, Indian Himalaya A. Bhardwaj & L. Sam
254. Optimizing Landslide Susceptibility Model Using Artificial Neural Network (ANN) Approach in Sawla-Laska Road Corridor and Surroundings, Southwest Ethiopia T. Unkuse et al.
255. Seismic-induced landslides susceptibility mapping of the NEOM area, northwestern Saudi Arabia using machine learning models B. El-Haddad et al.
256. Detecting slow-moving landslides in parts of Darjeeling–Sikkim Himalaya, NE India: quantitative constraints from PSInSAR and its relation to the structural discontinuities S. Singh et al.
257. Hazardous exogenous geological processes in the mountains under the pressure of human activity: 15-year observations from a natural landscape to a large ski resort A. Derkacheva et al.
258. Mapping and Spatiotemporal Analysis of Landslides Along the Costa Viola Transportation Network (Italy) M. Conforti & O. Petrucci
259. Remote sensing and GIS-based landslide susceptibility mapping using LNRF method in part of Western Ghats of India A. Patil & S. Panhalkar
260. The DEM Registration Method Without Ground Control Points for Landslide Deformation Monitoring Y. Wang et al.
261. Integrating principal component analysis with statistically-based models for analysis of causal factors and landslide susceptibility mapping: A comparative study from the loess plateau area in Shanxi (China) Y. Tang et al.
262. Landslide Risk Management in Areas Affected by Wildfires or Floods: A Comprehensive Framework Integrating GIS, Remote Sensing Techniques, and Regional Climate Models C. Nefros & C. Loupasakis
263. Fast physically-based model for rainfall-induced landslide susceptibility assessment at regional scale V. Medina et al.
264. A dataset and review of empirical estimation relationships for landslide runout distances W. Gong et al.
265. Introduction to the Special Issue on Rainfall‐Induced Landscape Change in the SW Pacific: Landslides, Floods, and Multi‐Hazard Inter‐Relationships M. Brook et al.
266. Endurance of MICP-Treated Soils under Rainfall-Drying Cycles: Insights into Erosion and Hydrologic Responses on Slopes R. Devrani et al.
267. A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm D. Sun et al.
268. Prediction of landslide velocity and displacement from groundwater level changes considering the shear rate-dependent friction of sliding zone soil H. Miao & G. Wang
269. Landslide susceptibility mapping of Phewa Watershed, Kaski, Nepal B. Kunwar et al.
270. Integrating geotechnical monitoring for landslide analysis at PK232, East-West highway, Algeria E. Bounab et al.
271. Assessing the Effects of LULC Change on Landslide Hazards in Rwanda N. Hafashimana et al.
272. Numerical Modelling of Debris Flows for Simulation-Based Decision Support: An Indian Perspective M. Abraham et al.
273. Study on Shallow Landslide Induced by Extreme Rainfall: A Case Study of Qichun County, Hubei, China Y. Li et al.
274. Relationships between earthquakes, hurricanes, and landslides in Costa Rica A. Quesada-Román et al.
275. Hydro-meteorological landslide triggering thresholds based on artificial neural networks using observed precipitation and ERA5-Land soil moisture P. Distefano et al.
276. A Climate–Geomechanics Interface for Adaptive and Resilient Geostructures T. Bračko & B. Žlender
277. GIS-based landslide susceptibility mapping using frequency ratio and index of entropy models for She County of Anhui Province, China Y. Liu et al.
278. Enhancing the reliability of landslide early warning systems by machine learning H. Thirugnanam et al.
279. Heavy rainfall drives slow-moving landslide in Mazhe Village, Enshi to a catastrophic collapse on 21 July 2020 C. Xue et al.
280. Enhanced dynamic landslide hazard mapping using MT-InSAR method in the Three Gorges Reservoir Area C. Zhou et al.
281. Combining seismic signal dynamic inversion and numerical modeling improves landslide process reconstruction Y. Yan et al.
282. Henry’s gas solubility optimization algorithm in formulating deep neural network for landslide susceptibility assessment in mountainous areas Q. Nguyen et al.
283. Integrating Eco-DRR into landslide susceptibility assessment: The critical role of eco-environmental factors M. Broquet et al.
284. Temporal Probability Assessment and Its Use in Landslide Susceptibility Mapping for Eastern Bhutan A. Dikshit et al.
285. A gigantic Miocene landslide in the Wasatch Range, Utah, USA J. Keith et al.
286. Landslide susceptibility assessment using GIS-based multicriteria decision analysis (MCDA) along a part of National Highway-1, Kashmir- Himalayas, India I. Beigh & S. Bukhari
287. Cyclic landslide-flood chains along a major mountain river Y. Yang et al.
288. Project ‘‘Mass Movements in Germany’’ and its implications for nationwide landslide susceptibility assessment J. Torizin et al.
289. Temporal validity of landslide inventories in hazard mapping: insights from Hubei Province, China Y. Zhu et al.
290. Including informal housing in slope stability analysis – an application to a data-scarce location in the humid tropics E. Bozzolan et al.
291. Landslide susceptibility assessment in the Himalayan range based along Kasauli – Parwanoo road corridor using weight of evidence, information value, and frequency ratio A. Alsabhan et al.
292. ADAImpact Tool: Toward a European Ground Motion Impact Map N. Mileu et al.
293. Landslide Susceptibility Assessment in Jecheon Using a Convolutional Neural Network Based on Spatial Context E. Jo et al.
294. Thermal Remote Sensing from UAVs: A Review on Methods in Coastal Cliffs Prone to Landslides M. Melis et al.
295. Invited perspectives: Mountain roads in Nepal at a new crossroads K. Sudmeier-Rieux et al.
296. Landslide Susceptibility Mapping Using Feature Fusion-Based CPCNN-ML in Lantau Island, Hong Kong Y. Chen et al.
297. Enhancing disaster risk resilience using greenspace in urbanising Quito, Ecuador C. Watson et al.
298. A comparative analysis of mesh-based and particle-based numerical methods for landslide run-out simulations M. Fois et al.
299. Landslide displacement forecasting using deep learning and monitoring data across selected sites L. Nava et al.
300. The influences of the spatial extent selection for non-landslide samples on statistical-based landslide susceptibility modelling: a case study of Anhui Province in China C. Wang et al.
301. Spatial Coupling and Resilience Differentiation Characteristics of Landscapes in Populated Karstic Areas in Response to Landslide Disaster Risk: An Empirical Study from a Typical Karst Province in China H. Zhou et al.
302. Landslide Deformation Analysis and Prediction with a VMD-SA-LSTM Combined Model C. Wen et al.
303. Quantification of meteorological conditions for rockfall triggers in Germany K. Nissen et al.
304. Vulnerability index related to populations at-risk for landslides in the Brazilian Early Warning System (BEWS) M. Assis Dias et al.
305. How can landslide risk maps be validated? Potential solutions with open-source databases F. Caleca et al.
306. Rapid evaluation of earthquake-induced landslides by PGA and Arias intensity model: insights from the Luding Ms6.8 earthquake, Tibetan Plateau C. Li et al.
307. Satellite rainfall products outperform ground observations for landslide prediction in India M. Brunetti et al.
308. A multistage hybrid model for landslide risk mapping: tested in and around Mussoorie in Uttarakhand state of India M. Mishra & T. Sarkar
309. Preface to the Special Issue “Rainfall Thresholds and Other Approaches for Landslide Prediction and Early Warning” S. Segoni et al.
310. The May 2023 Rainstorm-Induced Landslides in the Emilia-Romagna Region (Northern Italy): Considerations from UAV Investigations Under Emergency Conditions L. Schilirò et al.
311. SAR data and field surveys combination to update rainfall-induced shallow landslide inventory P. Miele et al.
312. Global landslide mapping using tibetan plateau landslide dataset and improved YOLOX D. Liu et al.
313. Landslide failure time prediction with a new model: case studies in Fushun west open pit mine, China J. Hu et al.
314. Preliminary assessment of landslide vulnerability of road-cut slopes along the Garhwal Himalayas, using landslide possibility index (LPI) approach S. Singh et al.
315. A Modeling Platform for Landslide Stability: A Hydrological Approach M. Emadi-Tafti & B. Ataie-Ashtiani
316. Evaluation of Relative Active Tectonics and the Spatial Distribution of Landslides in the Yamne Valley (Arunachal Pradesh), Northeastern Himalaya, India P. Maurya et al.
317. Inventory of shallow landslides triggered by extreme precipitation in July 2023 in Beijing, China H. Ma & F. Wang
318. Development of integrated deep learning and machine learning algorithm for the assessment of landslide hazard potential B. Aslam et al.
319. Effects of debris flow rheology on overflow and impact dynamics against dual-rigid barriers C. Ng et al.
320. Modelling antecedent soil hydrological conditions to improve the prediction of landslide susceptibility in typhoon-prone regions C. Abancó et al.
321. Data-Driven Landslide Nowcasting at the Global Scale T. Stanley et al.
322. Hydrological influences on landslide dynamics in the three gorges reservoir area: an SBAS-InSAR study in Yunyang county, Chongqing J. Cui et al.
323. Strategic protection of landslide vulnerable mountains for biodiversity conservation under land-cover and climate change impacts B. Li et al.
324. OpenTopple: An open-source software for probabilistic block-toppling analysis of rock slopes Q. Meng et al.
325. Keynote lecture. Landslide Early Warning Systems: Resources or Problems? F. Guzzetti et al.
326. Geomorphological Evolution of the Multi-Chain Cascading Disaster of Wayanad (30 July 2024), Kerala, India S. Kotluri et al.
327. Interplay of rheology, deformation, and land use land cover in triggering cluster landslides: evidences from May 2022 landslides in Dima Hasao, Northeast India R. Sonowal et al.
328. The biggest landslide event in Brazil: preliminary analysis of the Rio Grande do Sul mega disaster in May 2024 C. de Oliveira Andrades-Filho et al.
329. Assessing torrentiality in catchments of the tropical Andes: A morphometric approach S. Machuca et al.
330. Understanding slow-moving landslide triggering processes using low-cost passive seismic and inclinometer monitoring S. Fiolleau et al.
331. Data-driven landslide forecasting: Methods, data completeness, and real-time warning T. Xiao & L. Zhang
332. Modeling impacts of climate change on return period of landslide triggering D. Peres & A. Cancelliere
333. A CONCEPTUAL STUDY ON METHODOLOGIES FOR LANDSLIDE HAZARD: INVENTORIES, SUSCEPTIBILITY, VULNERABILITY, AND RISK ANALYSIS A. Taye & R. Tamang
334. Comprehensive risk mapping and management of rainfall-induced slope failures in urbanizing subtropical regions F. Yang & M. Hasan
335. Forecasting the time of failure of landslides at slope-scale: A literature review E. Intrieri et al.
336. Landslide Susceptibility Mapping with Integrated SBAS-InSAR Technique: A Case Study of Dongchuan District, Yunnan (China) Z. Zhu et al.
337. Analysis of the rainfall pattern triggering the Lemešná debris flow, Javorníky Range, the Czech Republic J. Smolíková et al.
338. Field data driven rockfall hazard and risk assessment along Sangla-Chitkul road, Himachal Pradesh, India V. Pandey et al.
339. Identifying recurrent and persistent landslides using satellite imagery and deep learning: A 30-year analysis of the Himalaya T. Chen et al.
340. Use of delayed ERA5-Land soil moisture products for improving landslide early warning N. Palazzolo et al.
341. A Block-Wise ICP Method for Retrieving 3D Landslide Displacement Vectors Based on Terrestrial Laser Scanning Point Clouds Z. Xian et al.
342. Development of a Landslide Early Warning System in Indonesia R. Hidayat et al.
343. Controls on the size distributions of shallow landslides D. Bellugi et al.
344. Simultaneous state–parameter estimation of rainfall-induced landslide displacement using data assimilation J. Wang et al.
345. Spatiotemporal trends of rainfall‑triggered landslides in the U.S. under climate change K. Duff & W. Luo
346. Landslide displacement prediction based on time series and long short-term memory networks A. Jin et al.
347. Implementation of Multitemporal Synthetic Aperture Radar for Ground Hazard Risk Monitoring on Railway Right of Way D. Rizos et al.
348. A predictive model of societal landslide risk in Italy M. Rossi et al.
349. New impact equation using barrier Froude number for the design of dual rigid barriers against debris flows C. Ng et al.
350. A generalized phenomenological approach for real-time automatic time of failure forecasting of landslides J. Zhang et al.
351. Complex dendrogeomorphic analysis of mass movements in the steep slopes of the Cretaceous canyon K. Šilhán
352. Landslide displacement prediction based on Variational mode decomposition and MIC-GWO-LSTM model Z. Taorui et al.
353. Rock slope failure preparation paced by total crack boundary length S. Lagarde et al.
354. Landslide susceptibility on the Qinghai-Tibet Plateau: Key driving factors identified through machine learning W. Yang et al.
355. Superpixel and Supervoxel Segmentation Assessment of Landslides Using UAV-Derived Models I. Farmakis et al.
356. Stability Analysis of Himalayan Rock Slope Incorporating Microstructures into Rock Mass Using DEM P. Singh & S. Pradhan
357. Towards landslide space-time forecasting through machine learning: the influence of rainfall parameters and model setting N. Nocentini et al.
358. Morphometric and morphostructural analysis as a modeling tool in mass movement scenarios (Bucaramanga, Colombia) J. Valencia Ortiz & A. Martínez-Graña
359. Integrating textual and remote sensing data for time-sensitivity of landslide susceptibility assessment Q. Wu et al.
360. Wealth and land-cover change govern landslide fatalities on world’s mountains S. Fidan et al.
361. Detection and prediction of slope stability in unsaturated finite slopes using interpretable machine learning K. Waris et al.
362. Investigation of rainfall intensity on the slope failure process using GPU-accelerated coupled MPM D. Wang et al.
363. A framework for automated landslide dating utilizing SAR-Derived Parameters Time-Series, An Enhanced Transformer Model, and Dynamic Thresholding W. Wang et al.
364. Climate Resilient Cities Assessing Differential Vulnerability to Climate Hazards in Urban India L. Rangwala et al.
365. Cross-domain coseismic landslide segmentation: local boundary enhancement & global pixel contrastive learning X. He et al.
366. Assessing Global Landslide Casualty Risk Under Moderate Climate Change Based on Multiple GCM Projections X. Wang et al.
367. Comprehensive monitoring of talus slope deformation and displacement back analysis of mechanical parameters based on back-propagation neural network H. Xing et al.
368. Phenomenology of Avalanche Recordings From Distributed Acoustic Sensing P. Paitz et al.
369. A thermal-pore-chemical-mechanics model for large landslides in the unsaturated case H. Zhang et al.
370. Failure Mechanism and Movement Process Inversion of Rainfall-Induced Landslide in Yuexi Country Y. Xiao et al.
371. Landslide susceptibility prediction using frequency ratio model: a case study of Uttarakhand, Himalaya (India) P. Singh et al.
372. Spatiotemporal patterns of non-seismic fatal landslides in China from 2010 to 2022 Z. Li et al.
373. Extreme rainfall-related accelerations in landslides in Danba County, Sichuan Province, as detected by InSAR X. Shi et al.
374. Landslide hazard assessment and risk reduction in the rural community of Rampac Grande, Cordillera Negra, Peru J. Klimeš et al.
375. A decrease in rockfall probability under climate change conditions in Germany K. Nissen et al.
376. Regional-scale landslide risk assessment in Central Asia F. Caleca et al.
377. Approximate water vertical infiltration extremum path in unsaturated soils J. Li et al.
378. Deep learning models integrating multi-sensor and -temporal remote sensing to monitor landslide traces in Vietnam K. Dang et al.
379. Are the historically known landslide events really the biggest? An insight using dendrogeomorphology K. Šilhán
380. Floristic structure and root dynamics in slope stabilization of landslide-prone areas in the Phewa watershed, Nepal B. Kunwar et al.
381. Physically Validated Rainfall Thresholds for Roadside Landslides Using SMAP Soil Moisture and Antecedent Rainfall Models S. Neupane et al.
382. Risk assessment of landslide casualty under incomplete information——Tienshan and Kunlun Mountainous regions of Central Asia X. Chen et al.
383. Is tree-ring anatomy the key? searching for an optimal dendrogeomorphic approach to distinguish shallow creep and true slide movements K. Šilhán
384. A new method for defining the local factor of safety based on displacement isosurfaces to assess slope stability T. Yang et al.
385. After 2000 Stože Landslide: Part II - Development of landslide disaster risk reduction policy in Slovenia M. Mikoš
386. Estimating rainfall threshold and temporal probability for landslide occurrences in Darjeeling Himalayas A. Dikshit et al.
387. A review of landslide acceptable risk and tolerable risk K. Sim et al.
388. Analysis of Geotechnical-Assisted 2-D Electrical Resistivity Tomography Monitoring of Slope Instability in Residual Soil of Weathered Granitic Basement O. Olabode et al.
389. Accurate IoT Based Slope Instability Sensing System for Landslide Detection N. Kumar M. & M. Ramesh
390. Topographic controls on landslide mobility: modeling hurricane-induced landslide runout and debris-flow inundation in Puerto Rico D. Brien et al.
391. Analysis of landslide explicative factors and susceptibility mapping in an andean context: The case of Azuay province (Ecuador) S. Cobos-Mora et al.
392. Unwrapping distinct dominant factors among different types of active landslides in the Banbar-Lhorong Region, Tibetan Plateau G. Zhao et al.
393. Factors affecting landslides and IoT-based slope monitoring system in Southeast Asia: a review Y. Lee & N. Osman
394. Changing significance of landslide Hazard and risk after the 2015 Mw 7.8 Gorkha, Nepal Earthquake N. Rosser et al.
395. Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning J. Dou et al.
396. Optimization of SVR and CatBoost models using metaheuristic algorithms to assess landslide susceptibility R. Ajin et al.
397. Experimental study on rainfall-induced slope failure monitoring using plastic optical fibers: signal characteristics and failure mechanism D. Hu et al.
398. Towards a Transferable Antecedent Rainfall—Susceptibility Threshold Approach for Landsliding E. Monsieurs et al.
399. A framework for identifying the onset of landslide acceleration based on the exponential moving average (EMA) J. Wang et al.
400. Enhancing landslide susceptibility mapping analysis through neighborhood feature aggregation and interpretable machine learning: Implications for disaster prevention in valley-type urban planning L. Shen et al.
401. Modified Green–Ampt Model for Modeling Water Flow Behavior in Capillary Barrier System S. Hu et al.
402. Unravelling long-term spatiotemporal deformation and hydrological triggers of slow-moving reservoir landslides with multi-platform SAR data F. Chang et al.
403. Living with landslides: Land use on unstable hillslopes in a rural tropical mountainous environment in DR Congo J. Maki Mateso et al.
404. Low-Power and Wireless Communication Research on Underground Displacement Three-Dimensional Monitoring System N. Shentu et al.
405. Quantitative landslide risk assessment for Italy F. Caleca et al.
406. An approach based on socio-politically optimized neural computing network for predicting shallow landslide susceptibility at tropical areas V. Nhu et al.
407. Application of modified Segment Tracing Algorithm (mSTA) Method to Identify Landslide Susceptibility Zones Around Mt. Sinabung, Indonesia . Zahratunnisa et al.
408. Landslide Susceptibility Mapping in Brazil: A Review H. Dias et al.
409. Investigating Gravitational Slope Deformations with COSMO-SkyMed-Based Differential Interferometry: A Case Study of San Marco dei Cavoti M. Khalili et al.
410. Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability M. Di Napoli et al.
411. Integrating GIS and comparative multi-criteria decision-making techniques for landslide susceptibility assessment R. Faisal & Z. Shehab
412. Bridging traditional and conventional knowledge for soil classification in landslide-prone areas using exploratory factor analysis S. Sankhyan et al.
413. Assessing framework of rainfall-induced landslide hazard considering spatiotemporal asymmetry in extreme precipitation indices under climate change C. Yan & D. Gong
414. Analysis of human exposure to landslides with a GIS multiscale approach S. Modugno et al.
415. Comparative analysis of machine learning and multi-criteria decision making techniques for landslide susceptibility mapping of Muzaffarabad district U. Khalil et al.
416. HazMapper: a global open-source natural hazard mapping application in Google Earth Engine C. Scheip & K. Wegmann
417. Landslide Susceptibility Mapping Using Machine Learning: A Case Study of Oregon B. Wu et al.
418. Time series analysis and long short-term memory neural network to predict landslide displacement B. Yang et al.
419. Landslide assessment through integrated geoelectrical and seismic methods: A case study in Thungsong site, southern Thailand C. Sujitapan et al.
420. Comparing methods for determining landslide early warning thresholds: potential use of non-triggering rainfall for locations with scarce landslide data availability D. Peres & A. Cancelliere
421. Landslide impacting factors and susceptibility assessment in part of the Purvanchal Himalayas using data mining approaches K. Khusulio & R. Kumar
422. Spatial autocorrelation modeling to assess geohazard susceptibility assessment in the mountainous Shennongjia area of China F. Zou et al.
423. Insights into landslide susceptibility in different karst erosion landforms based on interpretable machine learning D. Sun et al.
424. Characterization of the Fels Landslide (Alaska) Using Combined Terrestrial, Aerial, and Satellite Remote Sensing Data D. Donati et al.
425. A Pilot Assessment of the Fatal Landslide on 29 August 2022 in Kudayathoor, Idukki, Kerala K. Amal George et al.
426. Evaluating the uncertainty in landslide susceptibility prediction: effect of spatial data variability and evaluation unit choices S. Qin et al.
427. Seasonal Landslide Activity Lags Annual Precipitation Pattern in the Pacific Northwest L. Luna & O. Korup
428. An Optimization of Statistical Index Method Based on Gaussian Process Regression and GeoDetector, for Higher Accurate Landslide Susceptibility Modeling C. Cheng et al.
429. Quantitative Stability Assessment of Landslides Following the 2024 Zixing Rainstorm Using Time-Series InSAR B. Sui et al.
430. Hazard assessment and mitigation of non-seismically fatal landslides in China F. Zhang et al.
431. Landslide susceptibility mapping along the China Pakistan Economic Corridor (CPEC) route using multi-criteria decision-making method A. Maqsoom et al.
432. A new method to compile global multi-hazard event sets J. Claassen et al.
433. Direct and semi-direct aerosol effects on the scaling of extreme sub-daily precipitation over East China S. Li et al.
434. A comparative study of numerical and physical modelling of subaerial landslide-generated impulse waves in high-and-narrow valley areas S. Chen et al.
435. Mitigation measures of debris flow and landslide risk carried out in two mountain areas of North-Eastern Italy R. Genevois et al.
436. Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran V. Nhu et al.
437. Assessment of Landslide Risks Through a Multi-Disciplinary Approach: A Case Study of Al Hoceima, Northern Morocco M. El Khattabi et al.
438. Fatal debris avalanche on an anthropogenically disturbed, earthquake-perturbed slope during antecedent rainfall T. Görüm et al.
439. A Regional-Scale Early Warning System for Rainfall-Induced Shallow Landslides Based on the Outputs of a Physically Based Model: Application to Cili County, China W. Lin et al.
440. Frekans Oranı ve Yapay Sinir Ağları Yöntemleri İle Samanlı Dağları Kütlesinde Heyelan Duyarlılık Analizi M. Uzun
441. Rock slides in paraglacial environments in South America: three-dimensional modeling of glacier retreat and landslide inducing the 2017 Santa Lucía disaster in the Chilean Patagonia F. Ochoa-Cornejo et al.
442. Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System S. Hartke et al.
443. Critical assessment of landslide failure forecasting methods with case histories: a comparative study of INV, MINV, SLO, and VOA S. Sharifi et al.
444. Frekans Oranı Yöntemi Kullanılarak Arsuz Çayı Havzası Heyelan Duyarlılık Analizi S. Demirbilek & H. Turoğlu
445. Landslide susceptibility mapping of Al Taif urban area, Saudi Arabia, using remote sensing data and microtremor measurements: integrated approach K. Abdelrahman et al.
446. Application and interpretability of ensemble learning for landslide susceptibility mapping along the Three Gorges Reservoir area, China B. Liu et al.
447. Disaster risk reduction and the limits of truisms: Improving the knowledge and practice interface D. Nohrstedt et al.
448. A review of recent studies on landslide hazard in Latin America A. Valdés Carrera et al.
449. Automated determination of landslide locations after large trigger events: advantages and disadvantages compared to manual mapping D. Milledge et al.
450. Landslide susceptibility assessment in the Central Yunnan Plateau by assembling optimized statistical and machine learning models J. Chen et al.
451. Rainfall-Induced Landslides from Initialization to Post-Failure Flows: Stochastic Analysis with Machine Learning H. Xu et al.
452. Uncertainty Analysis and Quantification of Rainfall-Induced Slope Instability in Fine-Grained Clayey Soils S. Espinosa Fuentes & M. El Naggar
453. A feature fusion method on landslide identification in remote sensing with Segment Anything Model C. Yang et al.
454. A hybrid approach for estimating hydro-geomorphological rainfall thresholds to shallow landslides F. Fusco
455. Human Vulnerability to Landslides W. Pollock & J. Wartman
456. Risk assessment of chemical release accident triggered by landslide using Bayesian network N. Moriguchi et al.
457. Multi-source landslide inventories for susceptibility assessment: a case study in the Concepción Metropolitan Area, Chile F. Castro-Venegas et al.
458. Landslide–Anthropogenic Interactions in Urban Areas: A Multidisciplinary Case Study from Taounate, Morocco R. Sahrane et al.
459. Evaluation of a Tilt-Based Monitoring System for Rainfall-Induced Landslides: Development and Physical Modelling A. Paswan & A. Shrivastava
460. Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization X. Zhou et al.
461. Class A prediction of debris flow impact forces on dual rigid and flexible barriers: MPM modelling S. Cuomo et al.
462. Historical Landslide Fatalities in British Columbia, Canada: Trends and Implications for Risk Management A. Strouth & S. McDougall
463. Temporal Variations in Landslide Distributions Following Extreme Events: Implications for Landslide Susceptibility Modeling J. Jones et al.
464. GIS-Based Landslide Susceptibility Mapping with a Blended Ensemble Model and Key Influencing Factors in Sentani, Papua, Indonesia Z. Zulfahmi et al.
465. A Landslide Susceptibility Assessment Method Based on GIS Technology and an AHP-Weighted Information Content Method: A Case Study of Southern Anhui, China H. He et al.
466. The influence of study area selection and landslide inventory practices on landslides spatial distribution: an example from Northern Morocco A. Bounab et al.
467. Insights Gained from the Review of Landslide Susceptibility Assessment Studies in Italy S. Segoni et al.
468. Connection methods in landslide susceptibility assessment: Suitability evaluation based on environmental factor type Y. Jia et al.
469. Failure and disaster-causing mechanism of a typhoon-induced large landslide in Yongjia, Zhejiang, China Y. Zhuang et al.
470. Macro to nano-scale landslide susceptibility zonation and analysis: insights from the 2024 Shirur landslide P. Kundu et al.
471. Public emotions and the built environment in hazards: A case study of the Shenzhen catastrophic landslide S. Ma et al.
472. A multi-scale factor feature fusion modeling method for landslide susceptibility mapping G. Wang et al.
473. Resettlement preferences from landslide prone areas in Cameroon: Willingness to move, reasons to stay M. Baert et al.
474. Improved phase gradient stacking for landslide detection D. Zhang et al.
475. Characteristics of landslide path dependency revealed through multiple resolution landslide inventories in the Nepal Himalaya S. Roberts et al.
476. Improving predictions of rainfall-triggered debris flows using area-based probability intensity curves R. Guthrie et al.
477. Geological education scenario in India and role of open educational resources in the light of COVID-19 pandemic O. Verma et al.
478. Effects of flow-bed interactions on barrier impact W. De Silva et al.
479. The Impact of Feature Selection on XGBoost Performance in Landslide Susceptibility Mapping Using an Extended Set of Features: A Case Study from Southern Poland K. Pawłuszek-Filipiak & T. Lewandowski
480. Geometric approach based tool for shallow landslides propagation assessment (ShaLPA) at basin scale L. Falconi et al.
481. The State of Remote Sensing Capabilities of Cascading Hazards Over High Mountain Asia D. Kirschbaum et al.
482. IoT-Driven Microseismic Sensing System and Monitoring Platform for Landslide Detection P. Indukala et al.
483. Multi-field coupling mechanisms and chain-type failure evolution of mining-rainfall-induced landslides in karst mountain regions: Insights from physical modeling and 3DEC simulations L. Chen et al.
484. Landslide Mapping Using Multilevel-Feature-Enhancement Change Detection Network L. Wang et al.
485. An investigation of the combined effect of rainfall and road cut on landsliding S. Pradhan et al.
486. Multi-temporal InSAR deformation monitoring and pre-impoundment landslide inventory development with kinematic zonation along the Dasu Reservoir, Pakistan H. Ahmad et al.
487. A novel matrix for landslide hazard identification combining remote sensing observation and geomorphological interpretation W. Liu et al.
488. Landslide Disaster Vulnerability Assessment and Prediction Based on a Multi-Scale and Multi-Model Framework: Empirical Evidence from Yunnan Province, China L. Xu et al.
489. Modified “Rockfall Hazard Rating System for Pakistan (RHRSP)”: An Application for Hazard and Risk Assessment along the Karakoram Highway, Northwest Pakistan J. Tanoli et al.
490. Insights from Optimized Non-Landslide Sampling and SHAP Explainability for Landslide Susceptibility Prediction M. Li & H. Tian
491. Preliminary analysis of the July 30, 2024, Wayanad landslide disaster in India: Causes and impacts Q. Wang et al.
492. Slope Instability Below Historic Mine Benches in the Northern Coalfields of West Virginia M. Ali et al.
493. Distribution law and susceptibility of geohazards across a gradient belt of the Western Sichuan Plateau T. Li et al.
494. A Novel Approach for Most Vulnerable Zone Identification Using MT-InSAR and Machine Learning: A Case Study from Lesser Himalayan Region V. Maurya et al.
495. Assessing the impact of governance policies on landslide risk in Brazilian municipalities V. Gonçalves Sales
496. Monitoring Slope Movement and Soil Hydrologic Behavior Using IoT and AI Technologies: A Systematic Review M. Alam et al.
497. High-Resolution Soil-Moisture Maps Over Landslide Regions in Northern California Grassland Derived From SAR Backscattering Coefficients T. Liao et al.
498. Co-seismic landslide detection after M 7.4 earthquake on June 23, 2020, in Oaxaca, Mexico, based on rapid mapping method using high and medium resolution synthetic aperture radar (SAR) images N. Hernandez et al.
499. Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping H. Hong et al.
500. Prediction of the spatial variability of rainfall- and human-induced landslides in the Bhagirathi Valley of the Indian NW Himalayas using machine learning techniques N. Gupta et al.
501. Dynamics of pore water pressure at the soil–bedrock interface recorded during a rainfall-induced shallow landslide in a steep natural forested headwater catchment, Taiwan W. Liang
502. Integration of machine learning model and CMIP6 analysis for climate change impact-led landslide susceptibility and population exposure assessments in the Nepal Himalaya T. Bhattarai & N. Bhandary
503. A new automatic noise elimination method for rock collapse warning system Y. Du et al.
504. An ensemble approach of bi-variate statistical models with soft-computing techniques for GIS-based landslide susceptibility zonation in the Kalimpong region of Darjeeling Himalaya, India S. Das et al.
505. Landslide susceptibility assessment using GIS and the infinite slope model in Salvador, Brazil L. Silva et al.
506. Landslide Susceptibility mapping using random forest and extreme gradient boosting: A case study of Fengjie, Chongqing W. Zhang et al.
507. Dry Spells and Extreme Precipitation are The Main Trigger of Landslides in Central Europe R. Tichavský et al.
508. Landslide susceptibility prediction based on landform predisposing indexes − An example from the Beiluo River Basin F. Liu et al.
509. Failure mechanism and kinetic feature of a high locality landslide at Qingliu Village, Li County, China, 2020 L. Li et al.
510. A scalable graph transformer for large-scale landslide susceptibility mapping: a case study in the Upper Yellow River Basin X. Xue et al.
511. A global perspective on a bioengineering approach to landslide mitigation using bamboo diversity S. Maddalwar et al.
512. Slope deformation monitoring and early identification of disasters in debris flow source area of Baini River, Dongchuan District, China X. Zhang et al.
513. A comprehensive analysis of landslide susceptibility in Iyidere Basin (NE, Turkey) using machine learning techniques and statistical bivariate methods K. Ersayin & A. Uzun
514. Spatial Non-Stationarity-Based Landslide Susceptibility Assessment Using PCAMGWR Model Y. Li et al.
515. Türkiye’de ölümcül heyelanların dağılım karakteristikleri ve ulusal ölçekte öncelikli alanların belirlenmesi S. FİDAN & T. GÖRÜM
516. Effects of particle size distribution and moisture content on the motion and deposit characteristics of debris avalanches M. Ma et al.
517. Using Field-Based Monitoring to Enhance the Performance of Rainfall Thresholds for Landslide Warning M. Abraham et al.
518. Shear-induced acoustic emission and energy evolution in granular-filled active waveguide L. Deng et al.
519. Landslides triggered by an extraordinary rainfall event in Central Italy on September 15, 2022 M. Donnini et al.
520. Rapid Mapping of Landslides Induced by Heavy Rainfall in the Emilia-Romagna (Italy) Region in May 2023 M. Ferrario & F. Livio
521. The ITAlian rainfall-induced LandslIdes CAtalogue, an extensive and accurate spatio-temporal catalogue of rainfall-induced landslides in Italy S. Peruccacci et al.
522. Kinematics of Irrigation‐Induced Landslides in a Washington Desert: Impacts of Basal Geometry Y. Xu et al.
523. Landslide detection, monitoring and prediction with remote-sensing techniques N. Casagli et al.
524. Integrating multidisciplinary approach to decipher the peculier incidence of burst of new water source and perpetual problem of ground subsidence in Joshimath, Uttarakhand H. Bahuguna et al.
525. Landslide causative factors evaluation using GIS in the tectonically active Glafkos River area, northwestern Peloponnese, Greece G. Bathrellos et al.
526. IoT-Based Geotechnical Monitoring of Unstable Slopes for Landslide Early Warning in the Darjeeling Himalayas M. Abraham et al.
527. Spatiotemporal analysis of ecological vulnerability along Bangladesh-China-India-Myanmar economic corridor through a grid level prototype model Y. Jin et al.
528. Aplicação do índice estatístico e análise multicritério no mapeamento da suscetibilidade a deslizamentos, no município do Ipojuca, Pernambuco, Brasil C. Duarte et al.
529. Regional Landslide Hazard and Risk Assessment Considering Landslide Spatial Aggregation and Hydrological Slope Units X. Yi et al.
530. GIS-based modeling of landslide susceptibility zonation by integrating the frequency ratio and objective–subjective weighting approach: a case study in a tropical monsoon climate region P. Hoa et al.
531. Delineating Non-Susceptible Landslide Areas in China Based on Topographic Index and Quantile Non-Linear Model S. Ma et al.
532. A geotechnical approach to compare different slope stabilization techniques for failed slope in the Darjeeling hills, India A. Chawla et al.
533. Mitigation and management of rainfall induced rockslides along the national highways of Himalayan region, India P. C et al.
534. Long-term analysis of rainfall-induced landslides in Umbria, central Italy S. Gariano et al.
535. Benchmarking Physical Model Experiments with Numerical Simulations for the Wangjiashan Landslide-Induced Surge Waves in the Baihetan Reservoir Area A. Shi et al.
536. Landslide vulnerability assessment based on entropy method: a case study from Kegalle district, Sri Lanka E. Perera et al.
537. Exploring the Potential of Native Urease-Producing Bacteria of Hilly Terrain for Soil Strength Enhancement R. Devrani et al.
538. Geospatial landslide inventory of India—an insight into occurrence and exposure on a national scale T. Martha et al.
539. Complex and Cascading Triggering of Submarine Landslides and Turbidity Currents at Volcanic Islands Revealed From Integration of High-Resolution Onshore and Offshore Surveys M. Clare et al.
540. A Novel Decomposition-Ensemble Learning Model Based on Ensemble Empirical Mode Decomposition and Recurrent Neural Network for Landslide Displacement Prediction X. Niu et al.
541. InSAR-derived predisaster spatio-temporal evolution of a reactivated landslide K. He et al.
542. Numerical investigation of landslide kinetics for the recent Mabian landslide (Sichuan, China) J. Wei et al.
543. Deformation and Failure Process of Slope Caused by Underground Mining: A Case Study of Pusa Collapse in Nayong County, Guizhou Province, China S. Xiong et al.
544. Model Test of Mechanical Response of Negative Poisson’s Ratio Anchor Cable in Rainfall-Induced Landslides G. Shi et al.
545. Improving Landslide Susceptibility Prediction Through Hybrid Framework: A Case from the Deccan Province P. Dasarwar et al.
546. Objective versus subjective landslide risk: A case of Cache Creek Landslide in California T. Stark et al.
547. DebrisFlow Predictor: an agent-based runout program for shallow landslides R. Guthrie & A. Befus
548. Stability Prediction of Rainfall-Induced Shallow Landslides: A Case Study of Mountainous Area in China K. Song et al.
549. Bearing of Morphometry and Morphotectonics on the Demarcation of Landslide Susceptible Zones in Lesser Himalaya along National Highway 58 between Rudraprayag and Devprayag Localities, Uttarakhand, India S. Kumar et al.
550. Quantitative Land-Use and Landslide Assessment: A Case Study in Rize, Türkiye N. Kasahara et al.
551. Geomorphic evaluation of landslides along the Teesta river valley, Sikkim Himalaya, India V. Gupta et al.
552. Large-scale field test on deformation mechanism and stability enhancement of soil slope reinforced by the micro-NPR bolt W. Dai et al.
553. Assessing damage data availability in national landslide databases for SFDRR reporting: a case study of Kuala Lumpur as a local-level application T. Bhuiyan et al.
554. Landslide susceptibility mapping using a machine learning approach and different environmental factors in the Western Ghats region (India) M. Mishra et al.
555. An Integrated Approach of Machine Learning, Remote Sensing, and GIS Data for the Landslide Susceptibility Mapping I. Ullah et al.
556. Spatiotemporal deformation characteristics of Outang landslide and identification of triggering factors using data mining B. Yang et al.
557. LogISEL: an interpretable ensemble framework for real-time landslide prediction in the Indian Himalayas M. Chand et al.
558. Multi-Level Data Analyses for Characterizing Rainfall-Induced Landslide Scenarios: The Example of Catanzaro Municipality (South Italy) O. Petrucci et al.
559. Rainfall-Induced Shallow Landslide Susceptibility for Risk Management of Underground Services in a Mediterranean Metropolitan City G. Paliaga et al.
560. Representative profile model: a new physically-based model using slope unit for hazard assessment of colluvial landslides at large scale X. Feng et al.
561. Exploring Shallow Geological Structures in Landslides Using the Semi-Airborne Transient Electromagnetic Method J. Wu et al.
562. Mapping Historical Landslide Activity Using a Swin Transformer-Based Transfer Learning Approach F. Chen et al.
563. Deformation and failure analysis of heterogeneous slope using nonlinear spatial probabilistic finite element method P. Garg et al.
564. Three-Dimensional Minute-Scale Displacement of Fels Slide Measured With Multistation Ku-Band Ground-Based Radar F. Hosseini et al.
565. Global debris flow susceptibility based on a comparative analysis of a single global model versus a continent-by-continent approach L. Kurilla & G. Fubelli
566. Landslide vulnerability mapping using GIS-based statistical model for sustainable ecosystem management in the Himalayan region of Teesta River basin, India S. Pal et al.
567. Machine learning-based rainfall-induced landslide susceptibility model and short-term early warning assessment in South Korea S. Lee et al.
568. A numerical study on the effects of particle size distribution on run-out distance of granular flow D. Watanabe et al.
569. Landslide dynamic hazard prediction based on precipitation variation trend and backpropagation neural network R. Huang et al.
570. Threshold assessment of rainfall-induced landslides in Sangzhi County: statistical analysis and physical model Y. Sheng et al.
571. Composite Anchors for Slope Stabilisation: Monitoring of their In-Situ Behaviour with Optical Fibre S. Cola et al.
572. Updating Inventory, Deformation, and Development Characteristics of Landslides in Hunza Valley, NW Karakoram, Pakistan by SBAS-InSAR X. Su et al.
573. Developing a landslide vulnerability assessment for the national road network in Laos G. Hearn & P. Pongpanya
574. Landslide susceptibility zonation (LSZ) in parts of South Andaman Island, India using Multi-Criteria Analysis S. Maniruzzaman et al.
575. A community-operated landslide early warning approach: Myanmar case study N. Dixon et al.
576. SCPDNet: A Network for Landslide Detection Combining Deformable Attention and Multiscale Fusion in Remote Sensing Imagery J. Zhu et al.
577. Landslide susceptibility modelling in the Doda Kishtwar Ramban (DKR) region of Jammu and Kashmir using Remote Sensing and Geographic Information System A. Taloor et al.
578. Development and assessment of a novel hybrid machine learning-based landslide susceptibility mapping model in the Darjeeling Himalayas A. Saha et al.
579. Predicting Railway Slope Failure Under Heavy Rainfall Using the Soil Moisture Extended Cohesive Damage Element Method S. Loku-Pathirage et al.
580. Field research on preferential infiltration in rainfall-induced loess landslides J. Ma et al.
581. Long-term landslide impacts and adaptive responses in rural communities: Using historical cases to validate the cumulative causation approach P. Raška et al.
582. Landslide Displacement Prediction Based on Time Series and PSO-BP Model in Three Georges Reservoir, China D. Gao et al.
583. An optimization-based discrete element model for dry granular flows: Application to granular collapse on erodible beds H. Martin et al.
584. Systematic assessment of GPM IMERG V06 precipitation products with dense rain gauge observations over Zhejiang Province, China Z. Bi et al.
585. Assessing uncertainties in landslide susceptibility predictions in a changing environment (Styrian Basin, Austria) R. Knevels et al.
586. Change detection of slow-moving landslide with multi-source SBAS-InSAR and Light-U2Net J. Cai et al.
587. Analysis of landslide-induced fatalities and injuries in Bangladesh: 2000-2018 N. Sultana & S. Ricart Casadevall
588. Early prediction framework for a rainfall-induced landslide: validation through a real case study P. Sudani & K. Patil
589. A comparative evaluation of landslide susceptibility mapping using machine learning-based methods in Bogor area of Indonesia D. Melati et al.
590. Mapping global post-earthquake ecosystem damage boundaries W. He et al.
591. Large-scale assessment of rainfall-induced landslide hazard based on hydrometeorological information: application to Partenio Massif (Italy) D. Roman Quintero et al.
592. Landslide hazard assessment and mapping at national scale for Malawi Y. Thiery et al.
593. Landslide susceptibility mapping with GIS in high mountain area of Nepal: a comparison of four methods P. Gautam et al.
594. Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms V. Nhu et al.
595. Assessment of parameter sensitivity in cross-domain transferability of deep learning-based landslide detection models R. Inting & H. Park
596. Toward Knowledge-Enhanced Geohazard Intelligence: A Review of Knowledge Graphs and Large Language Models W. Li & Y. Zhou
597. Reanalysis of Soil Moisture Used for Rainfall Thresholds for Rainfall-Induced Landslides: The Italian Case Study N. Bezak et al.
598. Landslide susceptibility modeling by interpretable neural network K. Youssef et al.
599. Evolution and failure mechanisms of water-induced landslide sliding zones J. Zhuang et al.
600. The role of plants in the prevention of soil-slip: the G-SLIP model and its application on territorial scale through G-XSLIP platform L. Montrasio et al.
601. Risk at the margins: A natural hazards perspective on the Syrian refugee crisis in Lebanon W. Pollock et al.
602. A methodology for road cutting design guidelines based on field observations E. Robson et al.
603. Global Landslide Forecasting System for Hazard Assessment and Situational Awareness S. Khan et al.
604. Optimization of rainfall thresholds for landslide early warning through false alarm reduction and a multi-source validation N. Nocentini et al.
605. Consequences of slope instability and existing practices of mitigation in hydropower projects of Nepal S. Regmi & R. Dahal
606. Spatio-temporal variability of monsoon precipitation and their effect on precipitation triggered landslides in relation to relief in Himalayas R. Kashyap et al.
607. Landslide susceptibility analysis using machine learning: Insights from the bend Subcarpathians-Carpathians, Romania V. Ilinca et al.
608. Characterizing the scale of regional landslide triggering from storm hydrometeorology J. Perkins et al.
609. Landslide susceptibility patterns and their implications for erosional amphitheater formation on Bioko Island (Equatorial Guinea) J. Brauner et al.
610. Global Assessment of the Capability of Satellite Precipitation Products to Retrieve Landslide-Triggering Extreme Rainfall Events O. Marc et al.
611. A Virtual Reality Simulation of a Real Landslide for Education and Training: Case of Chiradzulu, Malawi, 2023 Landslide A. Asgary et al.
612. A reliability evaluation of four landslide failure forecasting methods in real-time monitoring applications S. Sharifi et al.
613. InSAR Study of Landslides: Early Detection, Three-Dimensional, and Long-Term Surface Displacement Estimation—A Case of Xiaojiang River Basin, China H. Jia et al.
614. InSAR Displacement with High-Resolution Optical Remote Sensing for the Early Detection and Deformation Analysis of Active Landslides in the Upper Yellow River K. Tu et al.
615. High-Resolution Spatiotemporal Mapping of Surface Soil Moisture Using ConvLSTM Model and Sentinel-1 Data A. Hosseinizadeh et al.
616. Simulation des écoulements gravitaires avec les modèles d’écoulement en couche mince : état de l’art et exemple d’application aux coulées de débris de la Rivière du Prêcheur (Martinique, Petites Antilles) M. Peruzzetto et al.
617. Understanding Landslide Expression in SAR Backscatter Data: Global Study and Disaster Response Application E. Lindsay et al.
618. Landslide early warning model based on multi-source monitoring data and unsupervised machine learning Y. Chen et al.
619. Machine learning-based global landslide susceptibility analysis: spatiotemporal variability and dominant environmental associations P. Kou et al.
620. Landslide Prediction in Mountainous Terrain Using Weighted Overlay Analysis Method: A Case Study of Al Figrah Road, Al-Madinah Al-Munawarah, Western Saudi Arabia T. Alharbi et al.
621. Centrifuge model tests of h-type anti-slide pile reinforced slope under different rainfall duration H. Zhang et al.
622. InSAR-based detection method for mapping and monitoring slow-moving landslides in remote regions with steep and mountainous terrain: An application to Nepal D. Bekaert et al.
623. Mechanisms of deformation and failure in colluvial slope under artificial surcharge loading P. Zuan et al.
624. Slope-Unit Scale Landslide Susceptibility Mapping Based on the Random Forest Model in Deep Valley Areas H. Deng et al.
625. Rapid mapping of landslides using satellite SAR imagery: A progressive learning approach N. Prakash et al.
626. Towards A Geo-Hydro-Mechanical Characterization of Landslide Classes: Preliminary Results F. Cotecchia et al.
627. Tracking mass‐wasting sediments in the large Brahmaputra River system A. Dixit et al.
628. Perceptions of landslide risks and warnings in Hong Kong M. Yik et al.
629. Climate change and landslide hazard in stiff clays and clay shales L. Comegna et al.
630. Joint detection and classification of rockfalls in a microseismic monitoring network L. Feng et al.
631. Automated Monitoring and Emergency Response System for Sensitive Areas Along High-Speed Railway Lines C. Chiu et al.
632. DCI-PGCN: Dual-Channel Interaction Portable Graph Convolutional Network for Landslide Detection W. Li et al.
633. Detection of slow-moving landslides using satellite imagery at the Glacier Bay National Park and Preserve E. Budukumah et al.
634. InSAR-based deep learning prediction model for multi-type landslides displacement and failure time in Zigui, Three Gorges Area, China X. Hu et al.
635. Geotechnical assessment of cut slopes in the landslide-prone Himalayas: rock mass characterization and simulation approach T. Siddique et al.
636. Understanding the scale effects of topographical variables on landslide susceptibility mapping in Sikkim Himalaya using deep learning approaches A. Saha et al.
637. Slope stability and surface displacement analysis of the Kuther Landslide in the Dehar Watershed, Himachal Himalaya, Northern India A. Kumar et al.
638. Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future A. Mondini et al.
639. Intensifying precipitation extremes and landslide susceptibility using machine learning in the Upper Ganga Sub-Basin, India A. Upadhyaya & A. Rai
640. Landslide Risk Assessment as a Reference for Disaster Prevention and Mitigation: A Case Study of the Renhe District, Panzhihua City, China Y. Zhou et al.
641. Global assessment of landslide monitoring applicability with the Harmony mission S. Guo et al.
642. Assessment of Physical Vulnerability and Uncertainties for Debris Flow Hazard: A Review concerning Climate Change M. Khan et al.
643. Evaluating landslide response in a seismic and rainfall regime: a case study from the SE Carpathians, Romania V. Kumar et al.
644. Evaluation of social vulnerability to natural hazards: a case of Barton on Sea, England K. Kantamaneni
645. Integrated Methodology for Potential Landslide Identification in Highly Vegetation-Covered Areas L. Yan et al.
646. Stability Evaluation of Engineered Slopes Using Coupled Empirical and Analytical Approach Along NH-9, Lesser Himalayas, India P. Haris & T. Siddique
647. Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories R. Emberson et al.
648. Assessing the importance of conditioning factor selection in landslide susceptibility for the province of Belluno (region of Veneto, northeastern Italy) S. Meena et al.
649. Landslide Inventorization and Susceptibility Mapping in the SemiArid Kargil-Ladakh Region of Northwestern Himalaya M. Akbar et al.
650. Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China H. Shu et al.
651. The downward spiral entangling soil sealing and hydrogeological disasters A. Gatto et al.
652. Centrifugal modelling and theoretical analysis of anti-slide pile reinforcement for bank slopes in weathered residual soil X. Lü et al.
653. Landslides, a Key Landform in the Global Geological Heritage C. Morino et al.
654. Physical vulnerability of reinforced concrete buildings under debris avalanche impact based on GF-discrepancy and DEM-FEM J. Pu et al.
655. From empirically to physically based early warning predictions of rainfall-induced landslides in silty volcanic soils: the Lattari Mountains case study G. Rianna et al.
656. A Novel Method for Predicting Landslide-Induced Displacement of Building Monitoring Points Based on Time Convolution and Gaussian Process J. Wang et al.
657. A Data-Driven Model on Google Earth Engine for Landslide Susceptibility Assessment in the Hengduan Mountains, the Qinghai–Tibetan Plateau W. Wu et al.
658. Spatial-temporal landslide hazard analysis considering ecological and hydrological factors Z. Zhao et al.
659. Internal Force Analysis and Field Test of Lattice Beam Based on Winkler Theory for Elastic Foundation Beam J. Li et al.
660. Spatial Analysis of Landslide Potential in Agricultural Areas of Wadaslintang Catchment Area, Central Java Province Indonesia G. Nafisa et al.
661. Adapting to environmental hazards in Norway: Confusion over legal responsibility results in stalled action and greater risk of disaster L. Sandberg et al.
662. Using scenarios of geologic hazard events for pre-disaster mitigation J. Rodgers et al.
663. An analysis of landslides in Great Britain using soil texture, rainfall and topography reveals contrasting failure conditions between organic and mineral soils J. Elliott et al.
664. AutoGluon: A revolutionary framework for landslide hazard analysis W. Qi et al.
665. Landslide Susceptibility Mapping Optimization for Improved Risk Assessment Using Multicollinearity Analysis and Machine Learning Technique B. Joshi et al.
666. Dense 3D displacement estimation for landslide monitoring via fusion of TLS point clouds and embedded RGB images Z. Wang et al.
667. Numerical investigation on the sliding process and deposit feature of an earthquake-induced landslide: a case study H. Wang et al.
668. A new flow-path energy-based approach for the preliminary design of debris flow risk mitigation measures: the real case of Favazzina M. Pisano et al.
669. A Framework to Project Future Rainfall Scenarios: An Application to Shallow Landslide-Triggering Summer Rainfall in Wanzhou County China J. Ferrer et al.
670. Multisource Data Fusion and Adversarial Nets for Landslide Extraction from UAV-Photogrammetry-Derived Data H. He et al.
671. Deformation Monitoring Exploration of Different Elevations in Western Sichuan, China Z. Zheng et al.
672. Role of remote sensing and geotechnical studies in assessing the landslide vulnerability in the Chamoli region of Uttarakhand, India S. Singh et al.
673. An InSAR and depth-integrated coupled model for potential landslide hazard assessment S. Zhou et al.
674. Assessing Urban Landslide Dynamics through Multi-Temporal InSAR Techniques and Slope Numerical Modeling N. Necula et al.
675. Towards intelligent landslide susceptibility evaluation: Knowledge extraction and rule mining X. Yang et al.
676. Reconstruction and verification of mechanism and triggering conditions of the Hermitage landslide at the Vaches Noires cliffs (Normandy) M. Kouah et al.
677. The impact of environmental change on landslides, fatal landslides, and their triggers in Pakistan (2003–2019) W. Shabbir et al.
678. Exploration of Multi-Decadal Landslide Frequency and Vegetation Recovery Conditions Using Remote-Sensing Big Data M. Aman et al.
679. Worldwide Research Trends in Landslide Science P. Carrión-Mero et al.
680. Unified model rainfall forecasts over India during 2007–2018: Evaluating extreme rains over hilly regions K. Sharma et al.
681. Landslide risk assessment by integrating hazards and vulnerability indices in Southeast Bangladesh N. Sultana et al.
682. EFFECT OF PARTICLE SIZE DISTRIBUTIONS ON GRANULAR FLOW SIMULATIONS USING DISCRETE ELEMENT METHOD D. WATANABE et al.
683. Revalidation Technique on Landslide Susceptibility Modelling: An Approach to Local Level Disaster Risk Management in Kuala Lumpur, Malaysia E. Affandi et al.
684. Landslide susceptibility mapping using ensemble learning integrating climate and seismic factors along the CPEC Y. Al-Masnay et al.
685. An Ensemble Approach of Feature Selection and Machine Learning Models for Regional Landslide Susceptibility Mapping in the Arid Mountainous Terrain of Southern Peru C. Kumar et al.
686. Impact of terrain variation on landslide mobility: Insights from DEM simulations S. Zhou et al.
687. Analysis of deformation characteristics of reverse slope under the influence of reservoir water based on community detection L. Xie et al.
688. Time and path prediction of landslides using InSAR and flow model P. Roy et al.
689. Inventory of large landslides along the Central Western Andes (ca. 15°–20° S): Landslide distribution patterns and insights on controlling factors F. Delgado et al.
690. Landslides Detection and Mapping with an Advanced Multi-Temporal Satellite Optical Technique V. Satriano et al.
691. Landslide susceptibility and building exposure assessment using machine learning models and geospatial analysis techniques C. Luu et al.
692. Geophysical Monitoring of Moisture‐Induced Landslides: A Review J. Whiteley et al.
693. Determining the impact of anthropogenic activities and climate change on landslide susceptibility for the Himalayan region A. Tyagi et al.
694. An Assessment of Negative Samples and Model Structures in Landslide Susceptibility Characterization Based on Bayesian Network Models S. Khabiri et al.
695. Towards hydrometeorological thresholds of reservoir-induced landslide from subsurface strain observations X. Ye et al.
696. Assessment of landslide susceptibility and risk factors in China D. Wang et al.
697. Spatiotemporal Analysis of Ecological Security Based on Landscape Patterns H. Zhang et al.
698. Temporal and spatial distributions of landslides in the Qinba Mountains, Shaanxi Province, China H. Qiu et al.
699. Nationwide Susceptibility Mapping of Landslides in Kenya Using the Fuzzy Analytic Hierarchy Process Model S. Zhou et al.
700. Influence of sampling design on landslide susceptibility modeling in lithologically heterogeneous areas A. Dornik et al.
701. Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam R. Das et al.
702. A multi-source landslide early warning model based on dynamic monitoring data and the SAAHP-FCE method D. Wang et al.
703. Evaluation of potential changes in landslide susceptibility and landslide occurrence frequency in China under climate change Q. Lin et al.
704. Pre-failure-deformation characterization of 30 July, 2024 Wayanad landslide, Kerala, India R. Dumka et al.
705. Identification of potential failure zones in large progressive landslides: a method to optimize the cost of landslide early warning S. Kumar et al.
706. Detailed inventory and initial analysis of landslides triggered by extreme rainfall in the northern Huaiji County, Guangdong Province, China, from June 6 to 9, 2020 C. Xie et al.
707. Multistage 54,000 m3 rockfall (Stampa, Western Norway): Insights from comprehensive monitoring and failure analysis A. Maschler et al.
708. Observations and computational multi‐phase modelling in tropical river settings show complex channel changes downstream from rainfall‐triggered landslides D. Panici et al.
709. A Quadtree Wavelet Multiresolution Approach for InSAR Heterogeneous Topography-Correlated Tropospheric Delay Correction in Mountainous Landslide Monitoring L. Xie et al.
710. A New Integrated Approach for Landslide Data Balancing and Spatial Prediction Based on Generative Adversarial Networks (GAN) H. Al-Najjar et al.
711. Integrated impacts of vegetation and soil type on slope stability: A case study of Kheyrud Forest, Iran M. Emadi-Tafti et al.
712. Evaluating the disaster response capacity of the Korean citizen corps in rural areas: A System Dynamics–GIS approach J. Lee et al.
713. Evaluation of ground conditions and vehicle-induced vibration using Spatio-geophysical approach for the Nilgiris landslide transportation interaction corridor, Western Ghats, India S. Chellamuthu & G. Ganapathy
714. Displacement Prediction of the Muyubao Landslide Based on a GPS Time-Series Analysis and Temporal Convolutional Network Model D. Huang et al.
715. Kinematic behavior and sliding geometry of large anthropogenic-induced landslides using three-dimensional time series InSAR: insights from the Li-Kan Road landslide J. Du et al.
716. Thermo-hydro-poro-mechanical responses of a reservoir-induced landslide tracked by high-resolution fiber optic sensing nerves X. Ye et al.
717. Application of novel distributed fibre-optic sensing for slope deformation monitoring: a comprehensive review A. Acharya & T. Kogure
718. Deep learning algorithms based landslide vulnerability modeling in highly landslide prone areas of Tamil Nadu, India S. Saha et al.
719. Assessment of landslide susceptibility zonation using frequency ratio and statistical index: a case study of Al-Fawar basin, Tartous, Syria H. Abdo
720. Landslide risk assessment considering socionatural factors: methodology and application to Cubatão municipality, São Paulo, Brazil P. Hader et al.
721. Engineering geomorphological investigation of the Kasavu landslide, Viti Levu, Fiji A. Ram et al.
722. Current understanding and uncertainties associated with climate change and the impact on slope stability: A systematic literature review F. Tetteh et al.
723. Global Dynamic Rainfall-Induced Landslide Susceptibility Mapping Using Machine Learning B. Li et al.
724. Landslide susceptibility mapping with r.landslide: A free open-source GIS-integrated tool based on Artificial Neural Networks L. Bragagnolo et al.
725. A New Deep Learning Neural Network Model for the Identification of InSAR Anomalous Deformation Areas T. Zhang et al.
726. Research on Landslide Detection in SAR Images Based on Multi-channel Change Detection Fusion Z. Li et al.
727. Pleistocene chronicles of large landslides activity on the western flank of the Central Andes revealed by cosmogenic nuclide dating F. Delgado et al.
728. Evaluation of pore-pressure variation and slope stability on terraced cultivation using physics-based landslide susceptibility model A. Ajith et al.
729. Detection of slow‐moving landslides through automated monitoring of surface deformation using Sentinel‐2 satellite imagery M. Van Wyk de Vries et al.
730. Rainfall infiltration and slope stability of alpine colluvial terraces subject to storms (NE Italy) P. Paronuzzi & A. Bolla
731. Prioritization of Subwatershed Using Remote Sensing and Geographic Information System in Gandaki Province, Nepal D. Poudel et al.
732. An Integrated Approach for Earth Infrastructure Monitoring Using UAV and ERI: A Systematic Review U. Igwenagu et al.
733. How water, wind, waves and ice shape landscapes and landforms: Historical contributions to geomorphic science J. Gardner
734. Mass Movement Hazard and Exposure in the Himalaya S. Dubey et al.
735. A novel approach for displacement interval forecasting of landslides with step-like displacement pattern Q. Ge et al.
736. Redefining landslide susceptibility under extreme rainfall events using deep learning A. Achu et al.
737. Démarche d'analyse et de diagnostic du risque de glissement de terrain : de l'identification à une mesure proactive A. Gruzelle & S. Lebaut
738. Three decades of landslide activity in western Nepal: new insights into trends and climate drivers A. Muñoz-Torrero Manchado et al.
739. Improved rainfall infiltration model for probabilistic slope stability assessment considering transition layers and spatial variability S. Jiang et al.
740. Akçasu Dere Havzası’nda (İnegöl, Bursa) Heyelan Duyarlılığının Makine Öğrenmesi Modelleri ile Karşılaştırmalı Analizi M. Durak & M. Özdel
741. Evaluating landslide susceptibility: an AHP method-based approach enhanced with optimized random forest modeling X. Zhang et al.
742. Post‐landslide soil and vegetation recovery in a dry, montane system is slow and patchy B. Buma & Ł. Pawlik
743. Real‐Time Forecast of Catastrophic Landslides via Dragon‐King Detection Q. Lei et al.
744. 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.
745. Impact of precipitation on Beishan landslide deformation from 1986 to 2023 M. Liu et al.
746. An improved multi‐model risk assessment of creep‐type landslide dynamics with multi‐temporal synthetic aperture radar (MT‐InSAR) N. Shahzad et al.
747. Displacement residuals reveal landslide regime shifts L. Nava et al.
748. Consideration of spatial heterogeneity in landslide susceptibility mapping using geographical random forest model R. Quevedo et al.
749. Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms B. Thai Pham et al.
750. Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms V. Vakhshoori et al.
751. Evaluation of Slope Stability in an Urban Area as a Basis for Territorial Planning: A Case Study P. Carrión-Mero et al.
752. Hazard Assessment of Debris Flow Based on Infinite Irrelevance Method and Probabilistic Neural Network Coupling Model C. Wang et al.
753. A depth-averaged SPH study on spreading mechanisms of geophysical flows in debris basins: Implications for terminal barrier design requirements S. Goodwin & C. Choi
754. Influence of human activity on landslide susceptibility development in the Three Gorges area Y. Li et al.
755. Century-long history of rural community landslide risk reduction J. Klimeš et al.
756. Deformation Slope Extraction and Influencing Factor Analysis Using LT-1 Satellite Data: A Case Study of Chongqing and Surrounding Areas, China J. Liu et al.
757. Risk resilience of growing settlements in landslide prone hilly areas: case study on Kalimpong-I block, Darjeeling District, West Bengal C. Laha Salui et al.
758. Assessing urban expansion into landslide susceptibility zones using machine learning methods: A case study of Yunnan Province, China J. Chen et al.
759. Unsupervised Change Detection Methods Applied to Landslide Mapping: Case Study in São Sebastião, Brazil G. Moço et al.
760. Deformation Feature Extraction for GNSS Landslide Monitoring Series Based on Robust Adaptive Sliding-Window Algorithm G. Huang et al.
761. Explainable AI (xAI) for Landslide Susceptibility Modeling: A Comparative Analysis of Machine Learning and Deep Learning Approaches A. Dwivedi et al.
762. Improvement of landslide hazard assessments for regulatory zoning in France: STATE–OF–THE-ART perspectives and considerations Y. Thiery et al.
763. Stability analysis and modeling of the Widikum landslide (North-West Cameroon) using FLAC 2D software O. Kenmoe et al.
764. Vulnerability evaluation utilizing AHP and an ensemble model in a few landslide-prone areas of the Western Ghats, India S. Anchima et al.
765. Investigation on the failure mechanism of slope deformations induced by water-level fluctuation with InSAR and numerical simulation: a case study L. Jiang et al.
766. The geoenvironmental factors influencing slope failures in the Majerda basin, Algerian-Tunisian border I. Arif et al.
767. 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.
768. Pixel-Based Spatio-Statistical Analysis of Landslide Probability in Humid and Seismically Active Areas of Himalaya and Hindukush S. Khan et al.
769. Life and death of slow-moving landslides P. Lacroix et al.
770. Rapid assessment of landslide exposure to elements at risk for decision support in regional landslide forecasting G. Singh et al.
771. Multi-sensor remote sensing captures geometry and slow-to-fast sliding transition of the 2017 Mud Creek landslide A. Handwerger et al.
772. Revolutionising construction safety: benefits of harnessing artificial intelligence tools for dynamic monitoring of safety compliance on construction projects in Nigeria I. Adamu et al.
773. Editorial: Advances and applications in modeling, assessment, and mitigation of landslide disasters Z. Chen et al.
774. Assessing the Effectiveness of TRIGRS for Predicting Unstable Areas in a Tropical Mountain Basin (Colombian Andes) R. Marin et al.
775. Landslides in the glaciated mountains of the Cordillera Blanca, Peru—types, spatial distribution, and conditioning factors J. Klimeš et al.
776. The Role of Hydraulic Hysteresis on the Hydrological Response of Pyroclastic Silty Covers G. Rianna et al.
777. Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain) T. Bornaetxea et al.
778. A Soil Moisture-Informed Seismic Landslide Model Using SMAP Satellite Data A. Farahani & M. Ghayoomi
779. Experimental Investigation on Integrated Subsurface Monitoring of Soil Slope Using Acoustic Emission and Mechanical Measurement L. Deng et al.
780. Distinctive controls on the distribution of river-damming and non-damming landslides induced by the 2008 Wenchuan earthquake R. Tang et al.
781. Fiber bundle model applied to slope stability assessment: co-detection multi-threshold analysis for early warning J. Faillettaz
782. Hydrometeorological disasters in urban areas of Costa Rica, Central America A. Quesada-Román et al.
783. Parametric assessment of rainfall-related slope stability through SRM modeling and orthogonal experimental design: insights from the Zhuquedong slope, China F. Liu et al.
784. The influence of the physical environment on self-recovery after disasters in Nepal and the Philippines S. Sargeant et al.
785. A Deep-Learning-Based Algorithm for Landslide Detection over Wide Areas Using InSAR Images Considering Topographic Features N. Li et al.
786. Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review A. Dikshit et al.
787. Scenarios of Human Responses to Unprecedented Social‐Environmental Extreme Events M. Rusca et al.
788. Towards multi-frequency SAR-based soil moisture retrieval: preliminary assessment at the Petacciato landslide, Italy D. Rana et al.
789. Pre- and post-failure spatiotemporal evolution of loess landslides: a case study of the Jiangou landslide in Ledu, China Y. Zhu et al.
790. Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models N. Prakash et al.
791. Spatial and Temporal Analysis of Global Landslide Reporting Using a Decade of the Global Landslide Catalog C. Dandridge et al.
792. Sonlu Elemanlar Yöntemi ile Depreme Bağlı Heyelan Tehlike Modelleme F. SUNBUL & A. SUNBUL
793. The cost of rapid and haphazard urbanization: lessons learned from the Freetown landslide disaster Y. Cui et al.
794. Review article: Analysis of sediment disaster risk assessment surveys in Brazil: a critical review and recommendations T. dos Santos & T. Uchida
795. Impact of rock block characteristics on rockfall hazard and its implications for rockfall protection strategies along Himalayan highways: a case study A. Singh et al.
796. Addressing the Effect of Intra-Seasonal Variations in Developing Rainfall Thresholds for Landslides: An Antecedent Rainfall-Based Approach C. Vishnu et al.
797. GIS-based for prediction and prevention of environmental geological disaster susceptibility: From a perspective of sustainable development X. Wang et al.
798. Infrared thermography reveals weathering hotspots at the Požáry field laboratory M. Loche et al.
799. Assessing persistent heavy rainfall-triggered landslides in southern India in July 2024 through space-based observations A. Mishra et al.
800. Optimization of various machine learning concepts to evaluate landslide susceptibility: XGBoost, k-NN and MLP using PSO algorithm H. Abdo et al.
801. Evaluation of linear, nonlinear and ensemble machine learning models for landslide susceptibility assessment in southwest China B. Wang et al.
802. GIS-based landslide susceptibility zonation mapping using the analytic hierarchy process (AHP) method in parts of Kalimpong Region of Darjeeling Himalaya S. Das et al.
803. Constraining landslide frequency across the United States to inform county-level risk reduction L. Luna et al.
804. Influence of Rainfall Infiltration and Hydraulic Conductivity on Hillslope Stability A. Paul et al.
805. Assessing Landslide Drivers in Social–Ecological–Technological Systems: The Case of Metropolitan Region of São Paulo, Brazil M. Hirye et al.
806. Evaluating map quality and model performance through iterative statistics-based landslide susceptibility in eastern KY M. Crawford et al.
807. Dynahead-YOLO-Otsu: an efficient DCNN-based landslide semantic segmentation method using remote sensing images Z. Han et al.
808. Simulation of cyclic slow-to-fast landslides based on the coupled creep and frictional slip model C. Xia et al.
809. Landslide susceptibility evaluation based on landslide classification and ANN-NFR modelling in the Three Gorges Reservoir area, China J. Wang et al.
810. Quantifying annual occurrence probability of rainfall-induced landslide at a specific slope X. Liu & Y. Wang
811. Understanding the impact of climate change on future climate extremes in the Gandak River Basin: A multi-model ensemble-based analysis A. Jha et al.
812. Integrating Variational Mode Decomposition and PatchTST for Landslide Short-Term Displacement Prediction and Early Warning N. Han et al.
813. Exploring the rainfall data from satellites to monitor rainfall induced landslides – A case study M. Kumar Thakur et al.
814. Estimation of Ground Deformation in Landslide Prone Areas Using GPS: A Case Study of Bududa, Uganda B. Makabayi et al.
815. Community adaptive capacity in facing landslide disaster P. Wijayanti et al.
816. A comparative study of regional rainfall-induced landslide early warning models based on RF、CNN and MLP algorithms Y. Liu et al.
817. Determination of Rainfall Thresholds for Landslide Prediction Using an Algorithm-Based Approach: Case Study in the Darjeeling Himalayas, India T. Teja et al.
818. Large landslides in the upper Jinsha River basin: comprehensive inventory and implications L. Li et al.
819. 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
820. The Spatiotemporal Evolution of Geo-Disaster Resilience in China and the Impact Mechanism of Environmental Governance H. Zhu et al.
821. Comparing characteristics of rainfall- and earthquake-triggered landslides in the Upper Minjiang catchment, China S. Bai et al.
822. Spatiotemporal distribution patterns of deadly geohazard events in China, 2013–2019 Y. Huang et al.
823. Multi-hazard susceptibility mapping of landslides and earthquakes in Bhagirathi Valley region of Uttarakhand Himalaya, India N. Gupta et al.
824. Automated Dating of Recent Landslides Using Sentinel-2 and Sentinel-1 on Google Earth Engine L. Barbera et al.
825. IoT-based hydrological monitoring of water-induced landslides: a case study in central Norway E. Oguz et al.
826. Geomorphological landslide inventory map of the Daunia Apennines, southern Italy F. Ardizzone et al.
827. Landslide Susceptibility Assessment Using AHP, Frequency Ratio, and LSI Models: Understanding Topographical Controls in Hanang District, Tanzania J. Muhimbula et al.
828. Failure characteristics and mechanism of a landslide in weathered phyllite at Anqian iron mine, Liaoning, China S. Sun et al.
829. Deformation dynamics and hazard of slow-moving landslides: The 2023 Joshimath event, Uttarakhand Himalaya P. Dalal et al.
830. Displacement prediction of slow-moving landslides using InSAR and ensemble regression models based on slope units S. Cobos-Mora et al.
831. HR-GLDD: a globally distributed dataset using generalized deep learning (DL) for rapid landslide mapping on high-resolution (HR) satellite imagery S. Meena et al.
832. Historical damaging geo-hydrological events affecting the Catanzaro municipality (Calabria, Southern Italy), 1830–2023 M. Conforti et al.
833. Performance and topographic preferences of dynamic and steady models for shallow landslide prediction in a small catchment W. Liang & T. Uchida
834. Slope deformation, reservoir variation and meteorological data at the Khoko landslide, Enguri hydroelectric basin (Georgia), during 2016–2019 A. Tibaldi et al.
835. Thermal Infrared Imagery Integrated with Terrestrial Laser Scanning and Particle Tracking Velocimetry for Characterization of Landslide Model Failure J. Ma et al.
836. Land surface temperature (LST) and soil moisture index (SMI) to identify slope stability S. Putro et al.
837. Decoding the dynamics of July 2024 Mundakkai-Chooralmala landslide in Kerala (India): an analysis of formation mechanisms, impacts and lessons learned A. Achu et al.
838. Landslide hazard and loss‐of‐life risk assessment for Muriwai, New Zealand following Cyclone Gabrielle in February 2023 M. Howard et al.
839. Quick and automatic detection of co-seismic landslides with multi-feature deep learning model W. Huangfu et al.
840. Physics-based time-of-failure determination of rainfall-induced instability in lateritic soil slopes S. Rahul & A. Tyagi
841. Constraining landslide timing in a data-scarce context: from recent to very old processes in the tropical environment of the North Tanganyika-Kivu Rift region O. Dewitte et al.
842. A Meta-Learning Approach of Optimisation for Spatial Prediction of Landslides B. Pradhan et al.
843. Present and Projected Suitability of Olive Trees in a Currently Marginal Territory in the Face of Climate Change: A Case Study from N-Italy M. Bordoni et al.
844. Physically-based catchment-scale prediction of slope failure volume and geometry B. Van den Bout et al.
845. Freeze-thaw induced landslides on grasslands in cold regions J. Yang et al.
846. Machine learning and landslide studies: recent advances and applications F. Tehrani et al.
847. Spatiotemporal Prediction of Landslide Displacement Using Graph Convolutional Network-Based Models: A Case Study of the Tangjiao 1# Landslide in Chongqing, China Y. Sun et al.
848. Analysis and Application of the CAUSE Model in Regional Disaster Prevention Measures Z. Tang et al.
849. Kinematics-Guided Transformer for Early Warning of Slope Failures Using Embedded IoT Displacement Sensors B. Ji et al.
850. Deformation characteristics of a large landslide reactivated by human activity in Wanyuan city, Sichuan Province, China B. Zhao et al.
851. Geospatial assessment and integrated multi-model approach for landslide susceptibility mapping in Meghalaya, India N. Badavath & S. Sahoo
852. Chronicle of destruction: the Wayanad landslide of July 30, 2024 A. Yunus et al.
853. A prototype landslide early warning system in Rize (Turkey): analyzing recent impacts to design a safer future S. Segoni et al.
854. A rockslide-induced debris flow caused the catastrophic 2024 Wayanad disaster in Kerala, India P. Roy et al.
855. Multi-event assessment of typhoon-triggered landslide susceptibility in the Philippines J. Jones et al.
856. Paved to Nowhere: Dubious Payoffs of Rural Road Expansion in Nepal’s Rugged Terrain S. ADHIKARI et al.
857. Landslide detection from bitemporal satellite imagery using attention-based deep neural networks S. Amankwah et al.
858. Landslide Susceptibility Analysis Based on Dataset Construction of Landslides in Yiyang Using GIS and Machine Learning C. Hou et al.
859. Farmers’ adoption intentions of water-saving agriculture under the risks of frequent irrigation-induced landslides J. Wang et al.
860. Rainfall triggers more deep-seated landslides than Cascadia earthquakes in the Oregon Coast Range, USA S. LaHusen et al.
861. Increasing landslide susceptibility in urbanized areas of Petrópolis identified through spatio-temporal analysis C. de Praga Baião et al.
862. Landslide susceptibility mapping for hazard management along Pakistan’s Balakot-Naran Route A. Ullah et al.
863. Landslide susceptibility assessment and attribution analysis in Yunnan Province based on weighted information value-logistic regression model Y. Zhu et al.
864. Efficient intensity measures for vulnerability assessment of reinforced concrete buildings under flow-type and slow to moderately moving landslides M. Kulariya & S. Saha
865. Evaluating the influence of anthropogenic hillslope modulation in relation to shallow landslides in the Rishikhola region, Darjeeling–Sikkim Himalaya, India S. Sarkar & K. Saha
866. Reviews and Syntheses: Promoting the Advancement of Hillslope Hydrology and Stability in Taiwan from the Perspective of Critical Zone Science Y. Yang et al.
867. A Case Study of Using Numerical Analysis to Assess the Slope Stability of National Freeways in Northern Taiwan H. Chiu et al.
868. Historicizing Natural Hazards and Human-Induced Landscape Transformation in a Tropical Mountainous Environment in Africa: Narratives from Elderly Citizens V. Kanyiginya et al.
869. Dendrogeomorphic analysis of creep: possibilities and specifics of spatio-temporal reconstruction K. Šilhán
870. The influence of the selection of non-geological disasters sample spatial range on the evaluation of environmental geological disasters susceptibility: a case study of Liulin County J. Chen et al.
871. A pseudo-3D methodology for regional-scale back-analysis of earthquake-induced landslides W. Gong et al.
872. Dynamic response evaluation of landslide to ambient noise using the HVSR method, the case of golay landslide in North Khorasan Province, Iran M. Hosseinzadeh et al.
873. An Improved Unascertained Measure-Set Pair Analysis Model Based on Fuzzy AHP and Entropy for Landslide Susceptibility Zonation Mapping X. Yang et al.
874. Using a Tank Model to Determine Hydro-Meteorological Thresholds for Large-Scale Landslides in Taiwan G. Lin et al.
875. GIS-Based Landslide Susceptibility Mapping for Land Use Planning and Risk Assessment A. Roccati et al.
876. The Impact of Bamboo on Rainfall-Triggered Landslide Distribution at the Regional Scale: A Case Study from SE China Z. Guo et al.
877. Study on rainfall infiltration characteristics and instability mechanism of a lateritic soil landslide in Yunnan, China C. Gu et al.
878. Insights to pre- and post-event stability analysis of rainfall-cum-anthropogenically induced recent Laxmanpuri landslide, Uttarakhand, India B. Peethambaran et al.
879. Preliminary assessment of heavy rainfall-induced landslides and reactivation of old landslides in the Garhwal Himalayas S. Saha & B. Bera
880. Study on the Evolution Process of Bearing Characteristics of Cantilever Anti-Slide Pile Exposed to Sodium Sulfate Solution Attack H. Jin et al.
881. Natural hazards fatalities in Brazil, 1979–2019 G. de Azevedo Couto et al.
882. Assessment of an amended soil as a climate adaptive barrier: Element testing and physical modelling A. Rana et al.
883. Synergetic use of geospatial and machine learning techniques in modelling landslide susceptibility in parts of Shimla to Kinnaur National Highway, Himachal Pradesh R. Das et al.
884. A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series A. Urgilez Vinueza et al.
885. Three-dimensional rockfall shape back analysis: methods and implications D. Bonneau et al.
886. Topographic uncertainty quantification for flow-like landslide models via stochastic simulations H. Zhao & J. Kowalski
887. An improved carrier phase-based RAIM method applied to GNSS RTK positioning integrity for landslide monitoring Z. Wu et al.
888. Landslide susceptibility mapping and risk assessment using total estimated susceptibility values along NH44 in Jammu and Kashmir, Western Himalaya R. Mir et al.
889. Temporal-spatial characteristics of surface cracks during landslide evolution P. An et al.
890. Near-surface soil hydrothermal response feedbacks landslide activity and mechanism X. Ye et al.
891. Landslide Identification in UAV Images Through Recognition of Landslide Boundaries and Ground Surface Cracks Z. Cheng et al.
892. Historical dynamics of landslide risk from population and forest-cover changes in the Kivu Rift A. Depicker et al.
893. Assessment of cohesive soil landslide driving forces exerted on piles considering soil arching effects D. Xue et al.
894. Effects of retained dry material on the impact, overflow and landing dynamics J. Fang et al.
895. Deep learning approaches for landslide information recognition: Current scenario and opportunities N. Chandra & H. Vaidya
896. A Pattern‐Based Strategy for InSAR Phase Unwrapping and Application to Two Landslides in Colorado Y. Molan & R. Lohman
897. Deep learning for geological hazards analysis: Data, models, applications, and opportunities Z. Ma & G. Mei
898. Potential sliding zone recognition method for the slow-moving landslide based on the Hurst exponent H. Yang et al.
899. INSPIRE standards as a framework for artificial intelligence applications: a landslide example G. Roberti et al.
900. An explainable AI (XAI) model for landslide susceptibility modeling B. Pradhan et al.
901. The relation between rainfall and landslides in India: An empirical approach for prediction of landslide A. Roul et al.
902. Soil Moisture Sensor-Based Landslide Monitoring: A Laboratory-Based Approach for Guwahati City M. Sharma & S. Laskar
903. Mechanism of Co‐Seismic Deformation of the Slow‐Moving La Sorbella Landslide in Italy Revealed by MPM Analysis M. Kohler & A. Puzrin
904. Enhancing landslide susceptibility predictions with XGBoost and SHAP: a data-driven explainable AI method D. Khan et al.
905. Landslide susceptibility assessment of Western Ghats of Karnataka region in India: A case study of Ankola landslide M. Pramanik & A. Hegde
906. Geologic controls of slow-moving landslides near the US West Coast Y. Xu et al.
907. Unsupervised active–transfer learning for automated landslide mapping Z. Wang & A. Brenning
908. A massive rock and ice avalanche caused the 2021 disaster at Chamoli, Indian Himalaya D. Shugar et al.
909. Stability analysis of open-pit gold mine slopes and optimization of mining scheme in Inner Mongolia, China S. Ren et al.
910. Automatic identification of active landslides over wide areas from time-series InSAR measurements using Faster RCNN J. Cai et al.
911. A high-precision displacement prediction model for landslide geological hazards based on APSO-SVR-LSTM combination N. Wang et al.
912. A local rainfall-triggered giant landslide occurred in a region along a high-speed railway on the Qinghai–Tibetan Plateau Q. Li et al.
913. Definition of 3D rainfall thresholds to increase operative landslide early warning system performances A. Rosi et al.
914. Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment A. Dikshit et al.
915. Study on the stability of brown coal batter with opened cracks on Maddingley brown coal mine L. Zhao & G. You
916. Geomorphological hazards susceptibility in high-density urban areas: A case study of Mexico City D. García-Soriano et al.
917. Earthquakes and Landslides Preparedness Planning in Kenya . Dr. Adan.A. Tawane
918. Impact Analysis of a Building Collapse Caused by a Rainfall-Induced Landslide in Kerala, India V. Santhosh Kumar & S. Chandrasekaran
919. Improved Green–Ampt Model for Evaluating Rainfall Infiltration and Slope Stability H. Zhu et al.
920. Risk Assessment of Geological Hazards in the Alpine Gorge Region and Its Influencing Factors: A Case Study of Jiulong County, China X. Zhang et al.
921. Disparity between evacuation intention and actual evacuation behavior during a heavy rain induced disaster event in Japan: Exploring the role of everyday awareness of disaster preparedness T. Hatori et al.
922. Assessing landslide susceptibility based on hybrid Best-first decision tree with ensemble learning model H. Hong
923. Spatial dendrogeomorphic sampling based on the specific tree growth responses induced by the landslide mechanism K. Šilhán
924. Machine learning reveals lithology and soil as critical parameters in landslide susceptibility for Petrópolis (Rio de Janeiro State, Brazil) E. Alcântara et al.
925. Developmental characteristics of rainfall-induced landslides from 1999 to 2016 in Wenzhou City of China H. Qin et al.
926. Slit structures: Fundamental mechanisms of mechanical trapping of granular flows S. Goodwin & C. Choi
927. Automating global landslide detection with heterogeneous ensemble deep-learning classification A. Ganerød et al.
928. A Comparison of Research Trends on Soil Reinforcement by Tree Roots Using Bibliometric Analysis K. Kim & S. Kim
929. Insights gained into geo-hydrological disaster management 25 years after the catastrophic landslides of 1998 in southern Italy G. Esposito et al.
930. Landslide mapping with deep learning: the role of pre-/post-event SAR features and multi-sensor data fusion A. Orynbaikyzy et al.
931. Shedding effects of sediment composition and bed morphology on debris flow dynamics and entrainment mechanism: Insights from laboratory experiments P. Li et al.
932. Exacerbating landslide risks under future climate change and land use scenarios: evidence from the Western Himalayas in Pakistan A. Rehman et al.
933. Landslide inventory and susceptibility models considering the landslide typology using deep learning: Himalayas, India S. Bera et al.
934. Design of Miniaturized Sensing Unit for Underground Displacement 3-D Measurement Sensor N. Shentu et al.
935. Impulse waves generated by high-Froude-number subaerial landslides in reservoir areas S. Chen et al.
936. Preliminary investigation of emerging suburban landsliding in Gisborne, New Zealand M. Cook et al.
937. The influence of cartographic representation on landslide susceptibility models: empirical evidence from a Brazilian UNESCO world heritage site J. Araujo Junior et al.
938. Identify Landslide Precursors from Time Series InSAR Results M. Liu et al.
939. Tree rings indicate hazards related to a waterside landslide in the Northern Apennines, Italy – A preliminary step towards forecasting landslides and related tsunami I. Malik et al.
940. An hourly shallow landslide warning model developed by combining automatic landslide spatial susceptibility and temporal rainfall threshold predictions Y. Cao et al.
941. A landslide dating framework using a combination of Sentinel-1 SAR and -2 optical imagery S. Fu et al.
942. A Joint Seismic and Space‐Based Investigation of the 2016 Lamplugh Glacier and 2017 Wrangell Mountains (Alaska) Landslides X. Luo et al.
943. A catastrophic high-speed train crash caused by a small-scale debris flow in China S. Zhang et al.
944. Numerical modeling of seepage and deformation of unsaturated slope subjected to post-earthquake rainfall J. Xu et al.
945. Landslide susceptibility methodology for railway planning: a comparative analysis of statistical and machine learning methods in a case study of Marche region, Italy R. Rani et al.
946. Forecasting the magnitude of potential landslides based on InSAR techniques Y. Zhang et al.
947. Application of quantitative methods for the assessment of landslide susceptibility of the Aghsuchay river basin S. Tarikhazer et al.
948. Assessing the impact of climate change on landslides near Vejle, Denmark, using public data K. Svennevig et al.
949. Spatiotemporal variations of fatal landslides in Turkey T. Görüm & S. Fidan
950. Integrated analysis of geophysical approaches for slope failure characterisation M. Zakaria et al.
951. Exploitation of optical and SAR amplitude imagery for landslide identification: a case study from Sikkim, Northeast India T. Sivasankar et al.
952. Estimating landslide thickness through domain-based regularization L. Borgatti et al.
953. Electrical Resistivity Tomography (ERT) Investigation for Landslides: Case Study in the Hunan Province, China M. Sun et al.
954. Assessing landslide susceptibility using improved machine learning methods and considering spatial heterogeneity for the Three Gorges Reservoir Area, China J. Dong et al.
955. A comparative study of different machine learning methods coupled with GIS for landslide susceptibility assessment: a case study of N’fis basin, Marrakesh High Atlas (Morocco) H. Ait Naceur et al.
956. Application of Bayesian Hyperparameter Optimized Random Forest and XGBoost Model for Landslide Susceptibility Mapping S. Wang et al.
957. Implementation of hydrometeorological thresholds for regional landslide warning in Catalonia (NE Spain) R. Palau et al.
958. Performance evaluation of machine learning and statistical techniques for modelling landslide susceptibility with limited field data A. Achu et al.
959. Changes in Human Vulnerability to Flood and Landslide: Evidences from Historical Data O. Petrucci
960. Evaluation of Susceptibility by Mass Movements through Stochastic and Statistical Methods for a Region of Bucaramanga, Colombia J. Valencia Ortiz et al.
961. Machine learning approaches for mapping and predicting landslide-prone areas in São Sebastião (Southeast Brazil) E. Alcântara et al.
962. Synoptic-scale precursors of landslides in the western Himalaya and Karakoram K. Hunt & A. Dimri
963. Reconstruction of surface deformation characteristics in alpine canyons under shadow conditions Z. Gu & X. Yao
964. The relations between settlement and selected environmental features with regard to landslide hazard in the Polish Carpathians P. Śleszyński et al.
965. Properties of fault zones and their influences on rainfall-induced landslides, examples from Alborz and Zagros ranges M. Ehteshami-Moinabadi
966. Coupled effects of earthquake and rainfall on landslide susceptibility in non-tropical coastal areas: assessing governing mechanisms and innovative slope protection strategy P. Khadka et al.
967. Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions G. Giardina et al.
968. A material point method analysis of failure mechanism and kinematic behavior of rainfall-induced landslide S. Wang et al.
969. Evaluation of critical factors for typhoon-triggered landslide and subsequent debris flow in the Philippines using physically based models J. Christian Gaviola et al.
970. Regional early warning model for rainfall induced landslide based on slope unit in Chongqing, China S. Liu et al.
971. Effects of solid fraction of saturated granular flows on overflow and landing mechanisms of rigid barriers C. Ng et al.
972. The landslide traces inventory in the transition zone between the Qinghai-Tibet Plateau and the Loess Plateau: a case study of Jianzha County, China T. Li et al.
973. Landslides forecasting using satellite rainfall estimations and machine learning in the Colombian Andean region D. Gómez et al.
974. Analysis of an anthropogenically-induced landslide with emphasis on geological precursors M. Apon et al.
975. New global characterisation of landslide exposure R. Emberson et al.
976. Factors Affecting Landslide Susceptibility Mapping: Assessing the Influence of Different Machine Learning Approaches, Sampling Strategies and Data Splitting M. Abraham et al.
977. Dynamic Response and Failure Process of a Counter-Bedding Rock Slope under Strong Earthquake Conditions M. Guo et al.
978. Entering the Era of Earth Observation-Based Landslide Warning Systems: A Novel and Exciting Framework K. Dai et al.
979. Assessing the Improvement of a Sparse Rain Gauge Network in a Landslide Hotspot in Kerala, India—A Multi-Criteria Approach C. Vishnu et al.
980. Space-time landslide predictive modelling L. Lombardo et al.
981. Effect of basin morphometric parameters on physically-based rainfall thresholds for shallow landslides R. Marin et al.
982. Rapid Mapping of Rainfall-Induced Landslide Using Multi-Temporal Satellite Data M. Aman et al.
983. Study on the Optimization of Pile Length of Micropiles in Soil Landslides H. Cheng et al.
984. Comprehensive study on evaluation of Kaliasaur Landslide attributes in Garhwal Himalaya by the execution of geospatial, geotechnical and geophysical methods J. Velayudham et al.
985. Reactivation/Acceleration of Landslides Caused by the 2018 Baige Landslide-Dammed Lake and its Breach Floods Revealed by InSAR and Optical Images Z. Xiong et al.
986. Landslide precipitation thresholds in Rwanda J. Uwihirwe et al.
987. EoML-SlideNet: A Lightweight Framework for Landslide Displacement Forecasting with Multi-Source Monitoring Data F. Zhang et al.
988. Assessing landslide susceptibility mapping in the Sikkim Himalayas using an ensemble machine learning approach I. Poddar & R. Roy
989. Understanding fatal landslides at global scales: a summary of topographic, climatic, and anthropogenic perspectives S. Fidan et al.
990. Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems M. Gamperl et al.
991. A new strategy to map landslides with a generalized convolutional neural network N. Prakash et al.
992. Event-based rainfall-induced landslide inventories and rainfall thresholds for Malawi P. Niyokwiringirwa et al.
993. Mechanism Analysis and Process Inversion of the “7.26” Landslide in the West Open-Pit Mine of Fushun, China H. Meng et al.
994. Research Status, Challenges and Future Perspectives of Geological Hazard Monitoring Methods in Mining Areas Y. Zhang et al.
995. Deformation Monitoring and Trend Analysis of Reservoir Bank Landslides by Combining Time-Series InSAR and Hurst Index X. Zhang et al.
996. Global Dynamic Landslide Susceptibility Modeling Based on ResNet18: Revealing Large-Scale Landslide Hazard Evolution Trends in China H. Jiang et al.
997. Mass exchange between geophysical flows and beds: Idealised computational modelling using a Herschel-Bulkley rheology S. Goodwin et al.
998. Coupling effect of impoundment and irrigation on landslide movement in Maoergai Reservoir area revealed by multi-platform InSAR observations J. Du et al.
999. Analysis of the possibility of application of gabion walls for landslide rehabilitation: Case study of a landslide on the road Stolica - Krupan at km 0+578.6 - 0+605.90 J. Cvetković et al.
1000. Detecting Long-Term Deformation of a Loess Landslide from the Phase and Amplitude of Satellite SAR Images: A Retrospective Analysis for the Closure of a Tunnel Event Y. Zhu et al.
1001. Integrating Physical and Machine Learning Models for Enhanced Landslide Prediction in Data-Scarce Environments H. Al-Najjar et al.
1002. Efficient Identification and Monitoring of Landslides by Time-Series InSAR Combining Single- and Multi-Look Phases Z. Liu et al.
1003. Experimental investigation on impact fragmentation and deposit characteristics of rockslides M. Ma et al.
1004. Preliminary insights from hydrological field monitoring for the evaluation of landslide triggering conditions over large areas L. Schilirò et al.
1005. Landslide Susceptibility Analysis: A Logistic Regression Model Case Study in Coonoor, India E. Sujatha & V. Sridhar
1006. Integrating local pore water pressure monitoring in territorial early warning systems for weather-induced landslides G. Pecoraro & M. Calvello
1007. Landslide risk assessment based on susceptibility and vulnerability J. Mosaffaie et al.
1008. Management of Landslides in a Rural–Urban Transition Zone Using Machine Learning Algorithms—A Case Study of a National Highway (NH-44), India, in the Rugged Himalayan Terrains M. Fayaz et al.
1009. Influence of Calculation Parameters on the Slope Stability of the Historical Rasos Cemetery in Vilnius (Lithuania) R. Chmielewski et al.
1010. Deep learning forecast of rainfall-induced shallow landslides A. Mondini et al.
1011. Hydro-Meteorological Landslide Inventory for Sustainable Urban Management in a Coastal Region of Brazil P. Hader et al.
1012. Enhanced analysis of landslide susceptibility mapping in the proximity of main roads in the province of Skikda, Algeria: using NAS for efficient performance and faster processing N. Mebirouk et al.
1013. Landslide Inventory in the Downstream of the Niulanjiang River with ALOS PALSAR and Sentinel-1 Datasets Z. Wang et al.
1014. Multi-Model Back Analysis for Predicting Landslide Occurrences Under Extreme Anthropogenic Regime in the Indian Himalaya I. Khan et al.
1015. Landslide risk index map at the municipal scale for Costa Rica A. Quesada-Román
1016. Monitoring of rainfall-induced landslides at Songmao and Lushan, Taiwan, using IoT and big data-based monitoring system Y. Lau et al.
1017. Community-scale slope stability assessment of urbanisation scenarios in North Quito, Ecuador R. Hen-Jones et al.
1018. 3D displacement time series prediction of a north-facing reservoir landslide powered by InSAR and machine learning F. Chang et al.
1019. Assessment of stability of a Himalayan road cut slope with varying degrees of weathering: A finite-element-model-based approach G. Komadja et al.
1020. Improving Spatial Landslide Prediction with 3D Slope Stability Analysis and Genetic Algorithm Optimization: Application to the Oltrepò Pavese N. Palazzolo et al.
1021. Predicting Large-Scale Landslide Initiation Based on the Local Field Factor of Safety: An Application to the Braies Catchment in Northern Italy R. Busti et al.
1022. The importance of input data on landslide susceptibility mapping K. Gaidzik & M. Ramírez-Herrera
1023. Development of a Precipitation-Induced Moisture-Driven Landslide Threshold Atlas for the Northwestern and Northeastern Himalayas D. Monga & P. Ganguli
1024. Biomechanical analysis head–neck injuries against mine falls using a simplified human model R. Garg et al.
1025. Effect of the infiltration of simulated rains on soil organic carbon content and mud rheology M. Minale et al.
1026. Comparison of LiDAR- and UAV-derived data for landslide susceptibility mapping using Random Forest algorithm F. França Pereira et al.
1027. Landslides triggered by the 2015 Mw 6.0 Sabah (Malaysia) earthquake: inventory and ESI-07 intensity assignment M. Ferrario
1028. Landslide deformation velocity real-time monitoring based on time-differenced carrier phase and its fault detection method Z. Bai et al.
1029. Deformation response and mechanism induced by rainfall of the Zhoujia landslide in Southwestern China S. Chen et al.
1030. Is the Grain Size Distribution a Key Parameter for Explaining the Long Runout of Granular Avalanches? M. Cabrera & N. Estrada
1031. Landslide utilization and driving mechanisms in alpine gorge areas of the eastern Qinghai–Tibet Plateau T. Qi et al.
1032. A semi-conservative depth-averaged material point method for fast flow-like landslides and mudflows M. Fois et al.
1033. Underground Displacement Measurement Method Based on Double Mutual Inductance Voltage Contour Model of Optimized Dual Kriging N. Shentu et al.
1034. Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al.
1035. Hong Kong’s landslip warning system—40 years of progress V. Kong et al.
1036. A comprehensive appraisal on the effect of aerosol on mountain glaciers: special reference to Sikkim Himalayan region of India S. Kumari & A. Middey
1037. Automatic recognition of active landslides by surface deformation and deep learning X. Wang et al.
1038. Landslide hazard mapping in Chefchaouen, Morocco: AHP-GIS integration L. Dahmani et al.
1039. Performance assessment for three statistical models of landslide susceptibility zonation mapping: A case study for Dharamshala Region, Himachal Pradesh, India K. Sweta et al.
1040. Numerical Simulation Study on Dominant Factors of Surge Hazards in Semi-Submerged Landslides J. Lei et al.
1041. Advancing reservoir landslide stability assessment via TS-InSAR and airborne LiDAR observations in the Daping landslide group, Three Gorges Reservoir Area, China L. Zhang et al.
1042. Potential of satellite-derived hydro-meteorological information for landslide initiation thresholds in Rwanda J. Uwihirwe et al.
1043. A GIS-Based Approach for Shallow Landslides Risk Assessment in the Giampilieri and Briga Catchments Areas (Sicily, Italy) G. Vegliante et al.
1044. Challenges of modeling rainfall triggered landslides in a data-sparse region: A case study from the Western Ghats, India C. Vishnu et al.
1045. SUSCEPTIBILITY MODELLING OF LANDSLIDES IN CENTRAL NEPAL O. IVANIK et al.
1046. Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting A. van Natijne et al.
1047. Landslide deposits caused by shallow landslides alter the redox regime in forested catchments: insights from hydrochemical and microbial analyses N. Yoshihara et al.
1048. Scenario-based probabilistic risk assessment of earthquake-induced landslides in Uttarakhand, India A. Vashistha et al.
1049. An automated approach for developing geohazard inventories using news: integrating natural language processing (NLP), machine learning, and mapping A. Avcıoğlu et al.
1050. Strain Modeling and Revealed Slope Motion Mechanisms of the Taoping Paleo-Landslide from InSAR Observations S. Lai et al.
1051. Numerical Simulation and Stability Forecasting of a Critical Slope Considering Future Reservoir Impoundment under Coupled Hydrological and Seismic Scenarios H. Ahmad et al.
1052. Automatic detection of active geohazards with millimeter-to-meter-scale deformation and quantitative analysis of factors influencing spatial distribution: A case study in the Hexi corridor, China B. Chen et al.
1053. Landslide susceptibility mapping for East Khasi Hills district of Meghalaya, India, using frequency ratio and statistical index method N. Badavath et al.
1054. Quantifying landslide strain localization phenomena using tensor analysis of multi-temporal lidar data S. Johnson et al.
1055. Prompt Quantitative Risk Assessment for Rain-Induced Landslides J. He et al.
1056. Comparison of Three Mixed-Effects Models for Mass Movement Susceptibility Mapping Based on Incomplete Inventory in China Y. He & Y. Zhang
1057. Global connections between El Nino and landslide impacts R. Emberson et al.
1058. Influence of weathering grades on landslide occurrences in the tropical volcanic region of Kulon Progo, Indonesia E. Erzagian et al.
1059. Harmonized methodology for cross-border hazard and risk assessment of earthquake-induced landslides at regional scale J. Bojadjieva et al.
1060. Startup mechanism of locked segment–dominated rockslides: Insights from a physical model experiment replicating natural infiltration conditions Y. Cui et al.
1061. Demographic changes associated with rainfall-induced landslides and floods in a rural area with a declining population: A case study in Asakura City, Northern Kyushu, Japan T. Sato & Y. Shuin
1062. Study of rainfall-induced landslide using a self-developed tilt monitoring system: a physical and numerical modelling approach A. Paswan & A. Shrivastava
1063. Machine Learning-based Landslide Susceptibility Modeling in the Dibang Valley, NE India S. Mihu et al.
1064. Effects of hysteretic soil water characteristic curves on the hydromechanical behaviour Y. Yang & H. Yeh
1065. Assessment of landslide susceptibility in the Himalayan state of Tripura, India, using a Multi-Model Approach D. Das et al.
1066. Landslide Segmentation with Deep Learning: Evaluating Model Generalization in Rainfall-Induced Landslides in Brazil L. Soares et al.
1067. Advanced fuzzy-based landslide prediction in high-risk regions using hybrid and statistical GIS models N. Pawar & K. Sharma
1068. Integrated analysis of landslide susceptibility: geotechnical insights, frequency ratio method, and hazard mitigation strategies in a volcanic terrain B. Momene Tuwa et al.
1069. Landslide monitoring techniques in the Geological Surveys of Europe M. Auflič et al.
1070. Regional-scale InSAR investigation and landslide early warning thresholds in Umbria, Italy F. Ponziani et al.
1071. Improving the spatial prediction of machine learning-based landslide susceptibility models by integrating the particle swarm optimization algorithm R. Ajin et al.
1072. Pre-collapse motion of the February 2021 Chamoli rock–ice avalanche, Indian Himalaya M. Van Wyk de Vries et al.
1073. A comparative modeling of landslides susceptibility at a meso-scale using frequency ratio and analytic hierarchy process models in geographic information system: the case of African Alpine Mountains (Rif, Morocco) N. Boukhres et al.
1074. Global projections of future landslide susceptibility under climate change Y. Duan et al.
1075. State-of-the-Art Review on the Use of Micropiles in Slope/Landslide Protection Measures B. Otoma & R. Ayothiraman
1076. Zonation of Landslide Susceptibility in Ruijin, Jiangxi, China X. Zhou et al.
1077. Landslide Prediction Method Based on a Ground-Based Micro-Deformation Monitoring Radar L. Qi et al.
1078. Numerical simulation study on the effects of the fragmentation degree of high-position landslides on impulse wave characteristics W. Xu et al.
1079. Improving landslide inventories by combining satellite interferometry and landscape analysis: the case of Sierra Nevada (Southern Spain) C. Reyes-Carmona et al.
1080. Seismotectonic and anthropogenic factors controlling landslide hazard in Gafsa phosphates quarries I. Mahmoudi et al.
1081. Landslide Susceptibility Mapping Considering Landslide Spatial Aggregation Using the Dual-Frequency Ratio Method: A Case Study on the Middle Reaches of the Tarim River Basin X. Yi et al.
1082. Landslide Detection Based on Differential Fusion of Multi‐Level Features From Optical Remote Sensing Images and Topographical Data S. Guo et al.
1083. Refined Landslide Susceptibility Mapping Considering Land Use Changes and InSAR Deformation: A Case Study of Yulin City, Guangxi P. Li et al.
1084. Spatial and temporal landslide distributions using global and open landslide databases D. Gómez et al.
1085. An Infrared Thermography Approach to Evaluate the Strength of a Rock Cliff M. Loche et al.
1086. Shallow landslides in Tuscany (Central Italy) triggered by the November 2023 heavy rainfall event E. Masi et al.
1087. Unsupervised machine learning with different sampling strategies and topographic factors for distinguishing between landslide source and runout areas to improve landslide inventory production J. Lai et al.
1088. Future Projections of Landslide Susceptibility in the Hill Tracts of Bangladesh: An AHP-Based Approach M. Islam et al.
1089. Rainfall-induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern Andes I. Fustos-Toribio et al.
1090. Unmanned Aerial Vehicles (UAVs) in Landslide Investigation and Monitoring: A Review J. Sun et al.
1091. Failure mechanism and landslide fragility of reinforced concrete buildings considering uncertain flow properties M. Kulariya & S. Saha
1092. Generating landslide archive inventories for Türkiye using web scraping and natural language processing techniques E. Najatishendi et al.
1093. Statistical-spatial modeling of the potential of landslide occurrence in Yamchi catchment F. Pourfarrashzadeh et al.
1094. Vadose Zone Thickness Limits Pore‐Fluid Pressure Rise in a Large, Slow‐Moving Earthflow C. Murphy et al.
1095. Analysis of failure of high slope subjected to rainfall infiltration at Peringavu in Kerala, India V. Santhosh Kumar & S. Sennimalai Chandrasekaran
1096. Recent advancements of landslide hydrology R. Greco et al.
1097. Research on Landslide Displacement Prediction Using Stacking-Based Machine Learning Fusion Model Y. Li et al.
1098. Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China R. Liu et al.
1099. Contrasting Population Projections to Induce Divergent Estimates of Landslides Exposure Under Climate Change Q. Lin et al.
1100. Q-Slope: Rock Slope Engineering 10 Years on N. Bar & N. Barton
1101. Spatially distributed antecedent rainfall thresholds for landslide occurrence: a multitask machine learning modelling approach L. Lucchese et al.
1102. Geological and Geomorphological Characterization of the Anthropogenic Landslide of Pie de la Cuesta in the Vitor Valley, Arequipa, Peru R. Infa et al.
1103. Numerical Simulation Study of Landslide Formation Mechanism Based on Strength Parameter G. Yuan et al.
1104. A new global landslide dam database (RAGLAD) and analysis utilizing auxiliary global fluvial datasets H. Wu et al.
1105. Geomorphology of landslide–flood-critical areas in hilly catchments and urban areas for EWS (Feltrino Stream and Lanciano town, Abruzzo, Central Italy) C. Carabella et al.
1106. High-resolution geophysical monitoring of moisture accumulation preceding slope movement—a path to improved early warning A. Watlet et al.
1107. The dynamic threat from landslides following large continental earthquakes K. Arrell et al.
1108. Integrated deep learning with explainable artificial intelligence for enhanced landslide management S. Alqadhi et al.
1109. A QGIS framework for physically-based probabilistic modelling of landslide susceptibility: QGIS-FORM J. Ji et al.
1110. Co-seismic landslide mapping using Sentinel-2 10-m fused NIR narrow, red-edge, and SWIR bands P. Lu et al.
1111. Identification of the Dominant Rainfall Index and Evolution of Multi-Factor Driving Mechanisms for Landslide Activity in Hong Kong (1990–2024) J. Wu et al.
1112. Applying deep learning and benchmark machine learning algorithms for landslide susceptibility modelling in Rorachu river basin of Sikkim Himalaya, India K. Mandal et al.
1113. Time-varying baseline error correction method for ground-based micro-deformation monitoring radar T. Lei et al.
1114. InSAR-based landslide detection method with the assistance of C-index Z. Xiong et al.
1115. Prediction of Landslide Susceptibility in the Karakorum under the Context of Climate Change Y. Pei et al.
1116. Improvement of failure time prediction of rainfall-induced landslides while reducing the fluctuation by the relationship between velocity and acceleration I. Ariyarathna & K. Sasahara
1117. Applying GIS to monitor school exposure to landslide hazards in disaster-prone areas of Mount Elgon in Uganda F. Akello et al.
1118. Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in Norway A. Turquet et al.
1119. A multi-task deep learning approach for landslide displacement prediction with applications in early warning systems D. Strnad et al.
1120. A novel DEM enhancement methodology to improve physics-based susceptibility modeling of rainfall-induced landslide along anthropogenically modified slopes A. Ajith et al.
1121. A Robust SAR Speckle Tracking Workflow for Measuring and Interpreting the 3D Surface Displacement of Landslides D. Donati et al.
1122. Post-failure landslide change detection and analysis using optical satellite Sentinel-2 images F. Qu et al.
1123. Landslide susceptibility modelling using hybrid bivariate statistical-based machine-learning method in a highland segment of Southern Western Ghats, India A. Achu et al.
1124. How much does the rainfall temporal resolution affect rainfall thresholds for landslide triggering? S. Gariano et al.
1125. Recent rainfall-induced landslides in East Khasi Hills, Meghalaya, Northeast India N. Badavath et al.
1126. Creep-to-Runout Transition of Large Landslides Controlled by Frictional Velocity Strengthening and Weakening (Vajont 1963, Italy) H. Zhang et al.
1127. Enhancing Sentinel-2 landslide change detection by integrating multispectral, deformation, and topographic information B. Liu et al.
1128. A Heuristic Method to Evaluate the Effect of Soil Tillage on Slope Stability: A Pilot Case in Central Italy E. Volpe et al.
1129. Comparison between Deep Learning and Tree-Based Machine Learning Approaches for Landslide Susceptibility Mapping S. Saha et al.
1130. Towards a predictive multi-phase model for alpine mass movements and process cascades A. Cicoira et al.
1131. Precipitation-induced landslide risk escalation in China’s urbanization with high-resolution soil moisture and multi-source precipitation product K. He et al.
1132. Standards for shallow landslide identification in Brazil: Spatial trends and inventory mapping H. Dias & C. Grohmann
1133. Reconstruction and forecasting of slow-moving landslide displacement using a Kalman Filter approach M. Mishra et al.
1134. Formation mechanism and evolution of the Jiaju landslide in the Dadu River, China Y. Bai et al.
1135. Natural Disaster Risk Inequalities in Central America A. Quesada-Román & D. Campos-Durán
1136. A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data Z. Ma et al.
1137. Reducing subjectivity in landslide susceptibility mapping method: an integrated methodology S. Gebru & T. Shewangzaw
1138. Changes in the rainfall event characteristics above the empirical global rainfall thresholds for landslide initiation at the pan-European level N. Bezak & M. Mikoš
1139. IED-GCN: An Internal and External Decoupled Graph Convolutional Network for Landslide Susceptibility Assessment Y. Li et al.
1140. Persistent PSD trends: a tool for seismic landslide detection M. Yezarla et al.
1141. A Geotechnical Investigation of 2017 Chattogram Landslides M. Islam et al.
1142. Slidenet: a wavelet-enhanced architecture for landslide segmentation S. Bhutia et al.
1143. A Simple Model for Estimating the Hydraulic Conductivity of Unsaturated Soil Z. Zhang & M. Zhang
1144. Acceleration stage detection and dynamic model selection for real-time landslide time-of-failure predictions B. Feng et al.
1145. Landslide hazard mapping of Darjeeling using GIS and ensemble machine learning model R. Nanda et al.
1146. Assessing the potential of soil moisture measurements for regional landslide early warning A. Wicki et al.
1147. Advancements in soil management: Optimizing crop production through interdisciplinary approaches R. Srivastava et al.
1148. Decadal evolution of mass movements in a Himalayan catchment after the catastrophic 2013 Kedarnath disaster A. Sekar et al.
1149. Exploring time series models for landslide prediction: a literature review K. Ebrahim et al.
1150. Multicollinearity and spatial correlation analysis of landslide conditioning factors in Langat River Basin, Selangor S. Selamat et al.
1151. From typhoon rainfall to slope failure: optimizing susceptibility models and dynamic thresholds for landslide warnings in Zixing City, China W. Xiao et al.
1152. Effects of grain size on landslide–forest interaction H. Liu et al.
1153. Assessment of Landslide Hazard in Jiangxi Using Geo-information Technology P. Ou et al.
1154. Geoinformatic Analysis of Rainfall-Triggered Landslides in Crete (Greece) Based on Spatial Detection and Hazard Mapping A. Argyriou et al.
1155. The influence of land use and land cover change on landslide susceptibility in the Lower Mekong River Basin C. Dandridge et al.
1156. Rock slope failures in Baspa Valley, Himachal Pradesh, India: a multi method numerical assessment and mitigation strategies V. Pandey et al.
1157. Application of multivariate techniques to assess active tectonics: implications for geohazard risk in the Siang valley, Arunachal Pradesh, India P. Maurya et al.
1158. Landslide susceptibility mapping using GIS-based machine learning algorithms for the Northeast Chongqing Area, China Z. Bai et al.
1159. Measuring ground surface elevation changes in a slow-moving colluvial landslide using combinations of regional airborne lidar, UAV lidar and UAV photogrammetric surveys S. Johnson et al.
1160. Study on movement characteristics of landslide considering earthquake magnitude and duration time P. Jing et al.
1161. A normal classification system and intelligent identification method for slope failure D. Li et al.
1162. Correlation Analysis of Geological Disaster Density and Soil and Water Conservation Prevention and Control Capacity: A Case Study of Guangdong Province Y. Lu et al.
1163. Transformer, more than meets the eye: A deep learning approach to integrate rainfall time-series in multi-type landslide probability modelling R. Rani et al.
1164. Landslide prediction based on low-cost and sustainable early warning systems with IoT Y. Liu et al.
1165. Slow-moving landslide risk assessment combining Machine Learning and InSAR techniques A. Novellino et al.
1166. Semantic segmentation of landslide image using DeepLabv3+ and completed local binary pattern W. Wang et al.
1167. Integrated Geophysical Imaging and Remote Sensing for Enhancing Geological Interpretation of Landslides with Uncertainty Estimation—A Case Study from Cisiec, Poland M. Wróbel et al.
1168. Landslide Hazards Identification and Evaluation along the Vakhsh River in Tajikistan based on InSAR Time Series and the MassMov2D Model Y. SUN et al.
1169. Landslide Hazard Assessment of Kashmir
1170. The geo-observer network: A proof of concept on participatory sensing of disasters in a remote setting L. Jacobs et al.
1171. Fatal landslides in Colombia (from historical times to 2020) and their socio-economic impacts H. Garcia-Delgado et al.
1172. Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam T. Phong et al.
1173. Exploring the multiple land degradation pathways across the planet R. Prăvălie
1174. A Scientometric Analysis of Predicting Methods for Identifying the Environmental Risks Caused by Landslides Y. Zou & C. Zheng
1175. Landslide Scenario in India with Special Reference to the Himalaya and Community Resilience to Hazards G. Bhat
1176. The Post-Failure Spatiotemporal Deformation of Certain Translational Landslides May Follow the Pre-Failure Pattern L. Wang et al.
1177. Detection of Small-Scale Potential Landslides in Vegetation-Covered Areas of the Hengduan Mountains Using LT-1 Imagery: A Case Study of the Luding Seismic Zone H. Jiang et al.
1178. Machine learning for landslides prevention: a survey Z. Ma et al.
1179. Analysis of the fundamental differences between dam-forming landslides and all landslides H. Wu et al.
1180. Landslide Susceptibility Mapping Considering Landslide Local-Global Features Based on CNN and Transformer Z. Zhao et al.
1181. Adaptive modeling of landslide susceptibility using Analytical Hierarchy Process and Multi-Objective Decision Optimization Y. Mao et al.
1182. InSAR-based deformation analysis around the Qiaoqi reservoir, Baoxing, Southwest China M. Kamran et al.
1183. A new method of monitoring slope displacement using millimeter wave radar J. Wang et al.
1184. Assessing landslide susceptibility using geospatial technology in Bonga town, southwestern Ethiopia M. Melese & S. Gashure
1185. Brief communication: Introducing rainfall thresholds for landslide triggering based on artificial neural networks P. Distefano et al.
1186. Deep learning models for comprehensive landslide susceptibility study considering climate change and sustainable development implications in Western Province of Rwanda V. Nwazelibe et al.
1187. Prediction of small-strain elastic stiffness of natural and artificial soft rocks subjected to freeze-thaw cycles M. Ali et al.
1188. Global landslide susceptibility prediction based on the automated machine learning (AutoML) framework G. Tang et al.
1189. A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset H. Al-Najjar et al.
1190. Implications of landslide inventory in susceptibility modeling along a Himalayan highway corridor, India V. Pandey et al.
1191. Landslide Susceptibility Prediction Using GIS, Analytical Hierarchy Process, and Artificial Neural Network in North-Western Tunisia M. Mersni et al.
1192. Landslide Susceptibility Assessment Model Construction Using Typical Machine Learning for the Three Gorges Reservoir Area in China J. Cheng et al.
1193. Remote Sensing-Based Detection and Analysis of Slow-Moving Landslides in Aba Prefecture, Southwest China J. Ren et al.
1194. Spatiotemporal analysis and threshold modeling of rainfall-induced geological disasters in Anhui Province B. Wang et al.
1195. Enhancing Landslide Vulnerability Mapping Through Automated Fuzzy Logic Algorithm-Based Methodology A. Bruzón et al.
1196. Evaluation of neural network models for landslide susceptibility assessment Y. Yi et al.
1197. Field, experimental and numerical study for landslide mitigation in Himachal Pradesh, India: Case study A. Tiwari et al.
1198. Effect of time and space partitioning strategies of samples on regional landslide susceptibility modelling K. Khanna et al.
1199. Frequency analysis of extreme rainfall over the Japanese archipelago by leveraging gauge-adjusted radar and satellite estimates S. Mtibaa
1200. Study of the spatial distribution and the temporal trend of landslide disasters that occurred in the Nepal Himalayas from 2011 to 2020 R. KC et al.
1201. The Spatial and Temporal Influence of Cloud Cover on Satellite-Based Emergency Mapping of Earthquake Disasters T. Robinson et al.
1202. Research on the Landslide Prediction Based on the Dual Mutual-Inductance Deep Displacement 3D Measuring Sensor N. Shentu et al.
1203. An integrated quantitative and qualitative approach for landslide susceptibility mapping in West Sikkim district, Indian Himalaya P. Biswakarma et al.
1204. Inventory of Landslides in the Northern Half of the Taihang Mountain Range, China X. Zhang et al.
1205. Implications of landslide runout modeling for vulnerability assessment: Benchmarking from a case study in the andean region M. Alvarez Jaimes et al.
1206. Emergency Disposal Solution for Control of a Giant Landslide and Dammed Lake in Yangtze River, China G. Chen et al.
1207. Assessing the spatiotemporal impact of climate change on event rainfall characteristics influencing landslide occurrences based on multiple GCM projections in China Q. Lin et al.
1208. FLIDND-MCN: Fake label images detection of natural disasters with multi model convolutional neural network S. Alqhtani
1209. Multi-source data analysis for conceptual modelling of slow landslide mechanisms: Application to the Pianello hillslope in the Daunia Appenines N. Losacco et al.
1210. Shear Creep Properties and Creep Model of Gravel Sliding Zone: A Case Study of the Zhoujia Landslide in China S. Chen et al.
1211. “Satark”: Landslide Prediction System over Western Ghats of India J. Kulkarni et al.
1212. Deep Learning for Exploring Landslides with Remote Sensing and Geo-Environmental Data: Frameworks, Progress, Challenges, and Opportunities Q. Zhang & T. Wang
1213. Dynamic Characterization of the 2009 Jiweishan Rockslidein Wulong, China, Based on Broadband Seismic Observations K. Chen et al.
1214. Visualization analysis of rainfall-induced landslides hazards based on remote sensing and geographic information system-an overview Z. Yang et al.
1215. Uncertainties of landslide susceptibility prediction: influences of different study area scales and mapping unit scales F. Huang et al.
1216. Development of a framework for the prediction of slope stability using machine learning paradigms K. Rajan et al.
1217. Hydraulic behavior of unsaturated soils under microbially induced calcium carbonate precipitation–vegetation combined treatment C. Yuan et al.
1218. Rainfall-induced landslide (RFIL) disaster in Dima Hasao, Assam, Northeast India S. Das et al.
1219. Catastrophic landslide triggered by extreme rainfall in Chongqing, China: July 13, 2020, Niuerwan landslide C. Zhou et al.
1220. Influence of spatial heterogeneity on landslide susceptibility in the transboundary area of the Himalayas H. Sun et al.
1221. Failure mechanism and stability analysis of the landslide: a case study for open pit iron mine in Xichang, Sichuan, China C. Wang et al.
1222. Insight into the dynamics of a long-runout mass movement using single-grain feldspar luminescence in the Pokhara Valley, Nepal A. de Boer et al.
1223. Optimization of Turbulence Model Parameters Using the Global Search Method Combined with Machine Learning K. Barkalov et al.
1224. Method to estimate the initial landslide failure surface and volumes using grid points and spline curves in MATLAB G. Prajapati & M. Jaboyedoff
1225. Community perceptions of landslide risk and susceptibility: a multi-country study M. Bukhari et al.
1226. Physical Model-Based Landslide Susceptibility Mapping of Himalayan Highways Considering the Coupled Effect of Rainfall and Earthquake S. Kumar & A. Sengupta
1227. Can global rainfall estimates (satellite and reanalysis) aid landslide hindcasting? U. Ozturk et al.
1228. Vulnerability of buildings to landslides: The state of the art and future needs H. Luo et al.
1229. Potential of Documentary Evidence to Study Fatalities of Hydrological and Meteorological Events in the Czech Republic R. Brázdil et al.
1230. Spatial distribution, temporal trends and impact of landslides on São Miguel Island from 1900 to 2020 based on an analysis of the Azores historical natural hazards database R. Silva et al.
1231. Characterization of landslide displacements in an active fault zone in Northwest China X. Shi & X. Hu
1232. Application of Empirical Approaches for Fast Landslide Hazard Management: The Case Study of Theilly (Italy) S. Segoni et al.
1233. Stability analysis of reference station and compensation for monitoring stations in GNSS landslide monitoring D. Wang et al.
1234. Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine A. Handwerger et al.
1235. Inventory and Spatial Distribution of Ancient Landslides in Hualong County, China Y. Huang et al.
1236. Landslide Mapping From PlanetScope Images Using Improved Region-Based Level Set Evolution P. Lu et al.
1237. Machine Learning-Based Land Cover Mapping of Nanfeng Village with Emphasis on Landslide Detection K. Nguyen et al.
1238. Airborne combined photogrammetry—infrared thermography applied to landslide remote monitoring V. Vivaldi et al.
1239. Landslide susceptibility assessment of Kashmir Himalaya, India S. Zaz & S. Romshoo
1240. Spatio-temporal landslide forecasting using process-based and data-driven approaches: A case study from Western Ghats, India M. Abraham et al.
1241. Experimental investigation on anti-sliding performance of grouted micro-pipe pile groups X. Liu et al.
1242. Displacement mechanisms of slow-moving landslides in response to changes in porewater pressure and dynamic stress J. Carey et al.
1243. On the collision problem of simulant debris flow particles against concrete barriers of various strengths L. Luo & K. Senetakis
1244. Global detection of rainfall-triggered landslide clusters S. Benz & P. Blum
1245. Geospatial technologies for landslide monitoring: a case study of Sighetu Marmației, Romania T. Kalmar et al.
1246. Runout of rainfall-induced landslides in Malaysia K. Sim et al.
1247. Pre-disaster adaptation strategies for houses in landslide-prone residential area, case study of Giripurno Village, Borobudur Sub-District, Central Java, Indonesia S. Purwitaningsih & J. Asano
1248. Probabilistic framework for quantifying human flight failure rate to landslides S. Wang et al.
1249. Improving generalization performance of landslide susceptibility model considering spatial heterogeneity by using the geomorphic label-based LightGBM D. Sun et al.
1250. Study of qualitative stability analysis and rainfall thresholds for possible landslide occurrence: a case study of Sikkim Himalaya K. Dutta et al.
1251. Twelve‐Year Dynamics and Rainfall Thresholds for Alternating Creep and Rapid Movement of the Hooskanaden Landslide From Integrating InSAR, Pixel Offset Tracking, and Borehole and Hydrological Measurements Y. Xu et al.
1252. Predicting Landslides Susceptible Zones in the Lesser Himalayas by Ensemble of Per Pixel and Object-Based Models U. Sur et al.
1253. Three-dimensional and long-term landslide displacement estimation by fusing C- and L-band SAR observations: A case study in Gongjue County, Tibet, China X. Liu et al.
1254. Application of Machine Learning on Google Earth Engine to Produce Landslide Susceptibility Mapping (Case Study: Pacitan) H. Ilmy et al.
1255. Deformation evolution of landslides induced by coal mining in mountainous areas: case study of the Madaling landslide, Guizhou, China Q. Lai et al.
1256. Growth of Debris Flows by Soil Bed Erosion: Effects of Frictional and Hydrodynamic Shear Stresses P. Song et al.
1257. Landslide susceptibility of Rwanda (Central Africa) C. Panelli et al.
1258. Landslide Susceptibility Evaluation Based on the Combination of Environmental Similarity and BP Neural Networks R. Wang et al.
1259. Sudden Slide Mechanism of a Rock Block in Road Cutting Slope with Soft and Hard Interlayered Bedding Structure Based on Energy Balance Theory F. Zhou et al.
1260. Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data N. Palazzolo et al.
1261. Application of ecological restoration technologies for low-carbon and sustainable landslide management: a case study of the Xishan landslide R. Li et al.
1262. Spatial and temporal patterns and the socioeconomic impacts of landslides in the tropical and mountainous Colombian Andes E. Aristizábal & O. Sánchez
1263. Livelihood, irrigation, and landslide: Unfolding the human-water-land nexus using an integrative framework J. Wang et al.
1264. Refined and dynamic susceptibility assessment of landslides using InSAR and machine learning models Y. Wei et al.
1265. A national rockfall dataset as a tool for analysing the spatial and temporal rockfall occurrence in Germany S. Rupp & B. Damm
1266. Field and Numerical Investigation of Taihu Resort Cut Slope Failure in Suzhou, China A. Raouf et al.
1267. Geographical landslide early warning systems F. Guzzetti et al.
1268. Landslide Susceptibility Assessment Tools v1.0.0b – Project Manager Suite: a new modular toolkit for landslide susceptibility assessment J. Torizin et al.
1269. Estimates of three-dimensional rupture surface geometry of deep-seated landslides using landslide inventories and high-resolution topographic data M. Bunn et al.
1270. Automatic calculation of rainfall thresholds for landslide occurrence in Chukha Dzongkhag, Bhutan S. Gariano et al.
1271. Rainfall-Induced or Lake-Water-Level-Controlled Landslide? An Example from the Steep Slopes of Lake Balaton, Hungary F. Nagy-Göde & Á. Török
1272. High resolution landslide susceptibility mapping using ensemble machine learning and geospatial big data N. Sharma et al.
1273. Ground subsidence in Dar village (Darma valley), Pithoragarh district, Kumaun Himalaya, India: A Himalayan disaster in waiting B. Ram et al.
1274. Multi-geohazard susceptibility assessment and influencing factors in Zhejiang Province, China: a machine learning approach Z. Dai et al.
1275. Negative Poisson’s ratio and peripheral strain of an NPR anchor cable Z. Tao et al.
1276. Landslide Fatality Occurrence: A Systematic Review of Research Published between January 2010 and March 2022 O. Petrucci
1277. Landslide mapping with remote sensing: challenges and opportunities C. Zhong et al.
1278. Timing landslide and flash flood events from SAR satellite: a regionally applicable methodology illustrated in African cloud-covered tropical environments A. Deijns et al.
1279. Innovative optical fiber technique for soil moisture monitoring based on light intensity variation D. Hu et al.
1280. Widespread Initiation, Reactivation, and Acceleration of Landslides in the Northern California Coast Ranges due to Extreme Rainfall A. Handwerger et al.
1281. Comprehensive review of remote sensing integration with deep learning in landslide forecasting and future directions N. Pawar & K. Sharma
1282. Changes in the factors contributing to the reduction of landslide fatalities between 1945 and 2019 in Japan Y. Shinohara & T. Kume
1283. A GIS-based factor clustering and landslide susceptibility analysis using AHP for Gish River Basin, India T. Basu & S. Pal
1284. MED-DeepLabv3+: a lightweight landslide recognition algorithm on multi-scale remote sensing images X. Li et al.
1285. A rapid run-out assessment methodology for the 2024 Wayanad debris flow V. Krishnapriya et al.
1286. Effective landslide risk management in era of climate change, demographic change, and evolving societal priorities V. Capobianco et al.
1287. Lithologically-constrained, machine learning-based temporal landslide prediction models using rainfall time series for the Benguet First Engineering District, Philippines J. Abuda et al.
1288. A Scalable Hydrology-Informed Monitoring System for Early Detection of Slope Failures Using IoT and ML M. Hossain Antora et al.
1289. Rainfall Threshold Estimation and Landslide Forecasting for Kalimpong, India Using SIGMA Model M. Abraham et al.
1290. Landslide risk assessment using an integrated framework of machine learning algorithms and multi-criteria decision analysis H. Ha et al.
1291. Future changes of socioeconomic exposure to potential landslide hazards over mainland China D. Li et al.
1292. LS-DSPerceiver: A Dual-Domain Feature Encoding and Scale-Aware Perceiver for Robust Multiscenario Landslide Extraction M. Chen et al.
1293. Spatial Landslide Risk Assessment at Phuentsholing, Bhutan A. Dikshit et al.
1294. Prediction of rainfall-induced landslide using machine learning models along highway Bandipora to Gurez road, India A. Nanda et al.
1295. Machine Learning-Based Spatiotemporal Analysis for Landslide Susceptibility Mapping in the Hindu Kush Himalayan Region R. Guria et al.
1296. Forecasting Landslides Using Mobility Functions: A Case Study from Idukki District, India M. Abraham et al.
1297. Heterogeneous transfer learning considering feature representation and environmental consistency for landslide spatial prediction Z. Zhao et al.
1298. 滑坡运动路径复杂度研究：综述与展望 L. Li & H. Lan
1299. UAV, GNSS, and GIS for the Rapid Assessment of Multi-Occurrence Landslides K. Nikolakopoulos et al.
1300. Landslide spatial prediction distinguishing spatial constraints and temporal trends Z. Zhao et al.
1301. What are the spatial distribution characteristics of the 4417 landslides in Minhe County, Qinghai Province, China? Q. Wang & C. Xu
1302. Investigation of landslides triggered by unprecedented rainfall events during 2023 monsoon in Himachal Pradesh, India E. Sana et al.
1303. Numerical Investigation into the Runout Dynamics of Reservoir Landslides: Insights from the Yanguan Landslide H. Fang et al.
1304. A multi‐sensor evaluation of precipitation uncertainty for landslide‐triggering storm events E. Culler et al.
1305. Review article: Natural hazard risk assessments at the global scale P. Ward et al.
1306. A comparative study of regional landslide susceptibility mapping with multiple machine learning models Y. Wang et al.
1307. Review and Inventory of Pedological and Stratigraphical Knowledge for Investigating Shallow Landslides: A Case Study of the Cervinara Area (Central Campanian Apennines, Southern Italy) A. Ermice et al.
1308. Landslide monitoring using seismic ambient noise correlation: challenges and applications M. Le Breton et al.
1309. Landslides associated with recent road constructions in the Río Lucma catchment, eastern Cordillera Blanca, Peru A. EMMER et al.
1310. Landslide Susceptibility Assessment in Hong Kong with Consideration of Spatio-Temporal Consistency A. Qiu et al.
1311. Centrifuge modeling of rainfall-induced instability in sandy slopes S. Espinosa F et al.
1312. Land use and land cover as a conditioning factor in landslide susceptibility: a literature review R. Pacheco Quevedo et al.
1313. TriGEFNet: A Tri-Stream Multimodal Enhanced Fusion Network for Landslide Segmentation from Remote Sensing Imagery Z. Zhang et al.
1314. A regional-scale framework for landslide susceptibility and risk management: application to urban areas with significant cultural heritage in Sicily M. Rosone et al.
1315. Review of landslide inventories for Nepal between 2010 and 2021 reveals data gaps in global landslide hotspot E. Harvey et al.
1316. MSRS-MambaUNet: A multi-source remote sensing model for landslide detection Z. Zhang et al.
1317. Deep learning and benchmark machine learning based landslide susceptibility investigation, Garhwal Himalaya (India) S. Saha et al.
1318. Numerical simulation of Submarine non-rigid landslide by an explicit three-step incompressible smoothed particle hydrodynamics S. Hosseini Mobara et al.
1319. A Comparative Assessment of Machine Learning Models for Landslide Susceptibility Mapping in the Rugged Terrain of Northern Pakistan N. Shahzad et al.
1320. Spatial distributions and multi-factor driving mechanism of landslide in southern Liaodong Peninsula Y. Li et al.
1321. Impact and a Novel Representation of Spatial Data Uncertainty in Debris Flow Susceptibility Analysis L. Kurilla & G. Fubelli
1322. Could road constructions be more hazardous than an earthquake in terms of mass movement? H. Tanyaş et al.
1323. Landslide susceptibility zonation using integrated supervised and unsupervised machine learning techniques in the Bhagirathi Eco-Sensitive Zone (BESZ), Uttarakhand, Himalaya, India M. Devi et al.
1324. GeoNeXt: Efficient landslide mapping using a pre-trained ConvNeXt V2 encoder with a PSA-ASPP decoder R. Uribe-Ventura et al.
1325. Mechanistic insights from emergent landslides in physical experiments O. Beaulieu et al.
1326. The Role of Citrus Groves in Rainfall-Triggered Landslide Hazards in Uwajima, Japan N. Lusiana & Y. Shinohara
1327. Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates S. Nagendra et al.
1328. Monitoring Seasonal Movement Characteristics of the Landslide Based on Time-Series InSAR Technology: The Cheyiping Landslide Case Study, China Y. Gou et al.
1329. A Bibliometric Analysis of Geological Hazards Monitoring Technologies Z. Liu et al.
1330. Recognition of Landslide Triggering Mechanisms and Dynamics Using GNSS, UAV Photogrammetry and In Situ Monitoring Data T. Peternel et al.
1331. Efficient Bayesian inversion of hydraulic parameters for unsaturated soil slopes using a fine-tuned deep operator network S. Jiang et al.
1332. Integrating GIS and ensemble learning models to predict landslide-prone zones in Chamoli District, India S. Kunwar et al.
1333. Developing landslide hazard scenario using the historical events for the Kashmir Himalaya B. Shah et al.
1334. Towards an understanding of landslide risk assessment and its economic losses: a scientometric analysis N. Marín-Rodríguez et al.
1335. Using distributed root soil moisture data to enhance the performance of rainfall thresholds for landslide warning Y. Guo et al.
1336. Landslide Mapping and Susceptibility Assessment Using Geospatial Analysis and Earth Observation Data E. Psomiadis et al.
1337. SkySlide: A Hybrid Method for Landslide Susceptibility Assessment based on Landslide-Occurring Data Only A. Mutlu & F. Goz
1338. Twisting Theory: A New Artificial Adaptive System for Landslide Prediction P. Buscema et al.
1339. Displacement prediction of landslides at slope-scale: Review of physics-based and data-driven approaches W. Gong et al.
1340. Assessment Of Temporal Variability In The Level Of Population Vulnerability To Natural And Man-Made Hazards (The Case Of Moscow Districts) R. Babkin et al.
1341. Transfer learning for landslide susceptibility modeling using domain adaptation and case-based reasoning Z. Wang et al.
1342. Biotech Crops, Input Use and Landslides Case Study of Herbicide Tolerant Corn in the Philippine Highlands L. Bequet
1343. Evaluating the performances of satellite-based rainfall data for global rainfall-induced landslide warnings G. Jia et al.
1344. Influence of the mapping unit for regional landslide early warning systems: comparison between pixels and polygons in Catalonia (NE Spain) R. Palau et al.
1345. Unveiling the amplifying impact: Anthropogenic activities and the two-fold surge in landslides in the Lesser Himalayas S. Kaushal et al.
1346. Classification of Landslide Activity on a Regional Scale Using Persistent Scatterer Interferometry at the Moselle Valley (Germany) A. Kalia
1347. Rainfall-Induced Landslide Prediction Models, Part I: Empirical–Statistical and Physically Based Causative Thresholds K. Ebrahim et al.
1348. Prevention of Mountain Disasters and Maintenance of Residential Area through Real-Time Terrain Rendering S. Sung et al.
1349. Rainfall affected stability analysis of Maddingley Brown Coal eastern batter using Plaxis 3D L. Zhao & G. You
1350. InSAR-Based Active Landslide Detection and Characterization Along the Upper Reaches of the Yellow River J. Du et al.
1351. MLEWS: a series of software systems to implement machine learning for geo-hazards risk early warning based on meteorological factors Y. Liu et al.
1352. Evaluation of different factor assignment methods for slope unit-based landslide susceptibility assessment: a case study in Fengjie County, China H. Yang et al.
1353. A new algorithm for landslide dynamic monitoring with high temporal resolution by Kalman filter integration of multiplatform time-series InSAR processing J. Cai et al.
1354. Quantifying the Effect of Precipitation on Landslide Hazard in Urbanized and Non‐Urbanized Areas E. Johnston et al.
1355. Fatigue behaviors of pre-flawed orthoclase granite under monotonic and multi-level cyclic loadings Y. Li et al.
1356. Performance Evaluation of Long NDVI Timeseries from AVHRR, MODIS and Landsat Sensors over Landslide-Prone Locations in Qinghai-Tibetan Plateau P. Sajadi et al.
1357. A Stochastic Dynamical Model of Slope Creep and Failure Q. Lei & D. Sornette
1358. What ecological factors to integrate in landslide susceptibility mapping? An exploratory review of current trends in support of eco-DRR M. Broquet et al.
1359. A slow-moving landslide risk assessment procedure using thematic maps and InSAR data: a case study C. Dai et al.
1360. Using DInSAR to inventory landslide geological disaster in Bijie, Guizhou, China C. Shen et al.
1361. Landslide Hazard Assessment Method Considering the Deformation Factor: A Case Study of Zhouqu, Gansu Province, Northwest China C. Dai et al.
1362. 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.
1363. The Anomalously Old Bush Stream Rock Avalanche and Its Implications for Landslide Inventories in Dynamic Landscapes S. McColl
1364. How climate change and unplanned urban sprawl bring more landslides U. Ozturk et al.
1365. An Investigation of Landslide Susceptibility Using Logistic Regression and Statistical Index Methods in Dailekh District, Nepal D. Rai et al.
1366. Dynamic fragmentation of intact rock blocks and its influence on mobility: insights from discrete element analysis Z. Liu et al.
1367. Economic landslide susceptibility under a socio-economic perspective: an application to Umbria Region (Central Italy) M. Donnini et al.
1368. Landslide Research in CIS countries: Remote Sensing, Hazards, and Research Trends Z. Kannazarova et al.
1369. Predicting and Understanding Landslide Events With Explainable AI E. Collini et al.
1370. Impact of sampling for landslide susceptibility assessment using interpretable machine learning models B. Wu et al.
1371. Hydrothermally Altered Rocks and Their Implications for Debris Flow Generation in the Monarch Butterfly Biosphere Reserve, Mexico L. Jiménez López et al.
1372. A global landslide non-susceptibility map G. Jia et al.
1373. Evaluating Machine Learning and Statistical Prediction Techniques in Margin Sampling Active Learning for Rapid Landslide Mapping J. Miao et al.
1374. Landslide susceptibility mapping in Al-Khawabi river basin, Tartous, Syria: An integrated approach of bivariate-statistical modelling and geospatial technology H. Abdo
1375. Assessing the risk of slope failure to highway infrastructure using automated time-lapse electrical resistivity tomography monitoring J. Whiteley et al.
1376. Optimisation and application of a high-resolution shallow landslide model at regional scale C. Schaller et al.
1377. Probabilistic simulation of entire process of rainfall-induced landslides using random finite element and material point methods with hydro-mechanical coupling X. Liu & Y. Wang
1378. Assessment and mapping of landslides in steep mountainous terrain using PS-InSAR: A case study of Karimabad Valley in Chitral M. Ahmad et al.
1379. SLEM (Shallow Landslide Express Model): A Simplified Geo-Hydrological Model for Powerlines Geo-Hazard Assessment A. Abbate & L. Mancusi
1380. Growing risk of landslides and landslide hotspots along the Chamoli-Joshimath corridor in the Garhwal Himalayas B. Bera
1381. Parametric Study of Rainfall-Induced Instability in Fine-Grained Sandy Soil S. Espinosa F & M. El Naggar
1382. 3D simulation of Vajont disaster. Part 1: Numerical formulation and validation A. Franci et al.
1383. The optimal rainfall thresholds and probabilistic rainfall conditions for a landslide early warning system for Chuncheon, Republic of Korea W. Lee et al.
1384. Understanding the spatial patterns of major geo-hydrological disasters in Italy using the CatBoost algorithm S. Segoni et al.
1385. Deep convolutional neural networks with Bee Collecting Pollen Algorithm (BCPA)-based landslide data balancing and spatial prediction J. Aruna Jasmine & C. Heltin Genitha
1386. Landslide risk assessment in mining areas using hybrid machine learning methods under fuzzy environment L. Dong et al.
1387. Integrated Landslide Risk Assessment via a Landslide Susceptibility Model Based on Intelligent Optimization Algorithms X. Dai et al.
1388. A Thermo-Poro-Mechanics Model Predicts the Transition from Creep to Rapid Movement of Large Landslides H. Zhang et al.
1389. Landslide Distribution and Development Characteristics in the Beiluo River Basin F. Liu et al.
1390. Comprehensive investigation and kinematic assessment of a small catastrophic landslide in Shiban Valley, Leshan City, Sichuan Province, China Y. Liu et al.
1391. Revealing the relation between spatial patterns of rainfall return levels and landslide density S. Mtibaa & H. Tsunetaka
1392. Landslide susceptibility mapping in the Loess Plateau of northwest China using three data-driven techniques-a case study from middle Yellow River catchment Z. Guo et al.
1393. Revealing the Importance of Capillary and Collisional Stresses on Soil Bed Erosion Induced by Debris Flows P. Song & C. Choi
1394. Rainfall Induced Shallow Landslide Temporal Probability Modelling and Early Warning Research in Mountains Areas: A Case Study of Qin-Ba Mountains, Western China Y. Song et al.
1395. Landslide activity detection based on Sentinel-1 PSI datasets of the Ground Motion Service Germany—the Trittenheim case study A. Kalia
1396. Integrating InSAR-derived deformation into landslide susceptibility mapping in the Ninglang–Yongsheng expressway region, Yunnan, China S. Xu et al.
1397. A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping L. Lv et al.
1398. Effects of Land Cover Changes and Rainfall Variation on the Landslide Size–Frequency Distribution in a Mountainous Region of Western Japan T. Kimura
1399. The Hooskanaden Landslide: historic and recent surge behavior of an active earthflow on the Oregon Coast S. Alberti et al.
1400. National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data Q. Lin et al.
1401. An Index for Snowmelt-Induced Landslide Prediction for Zavoj Lake, Serbia R. Marković et al.
1402. Effects of improper emergency mitigations on a large-scale landslide triggered by road excavation: A case study of the Fengping landslide, Hubei province, China Y. Luo et al.
1403. Coupling RBF neural network with ensemble learning techniques for landslide susceptibility mapping B. Pham et al.
1404. A GIS-based Spatial Prediction of Landslide Hazard Zones and Mapping in an Eastern Himalayan Hilly Region Using Large Scale Soil Mapping and Analytical Hierarchy Process R. Srinivasan et al.
1405. Machine Learning‐based landslide susceptibility analysis in volcanic islands: A comparison with traditional approaches S. Alfaya et al.
1406. The Geomorphic Effectiveness of Landslides E. Dente et al.
1407. Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti P. Amatya et al.
1408. Integrating machine learning and numerical methods for enhanced landslide susceptibility and hazard mapping in the Bhotekoshi watershed, central Nepal B. Gurung et al.
1409. Spatial variation in the frequency and magnitude of mass movement in a semiarid, complex‐terrain agricultural watershed on the Loess Plateau of China T. Zhu et al.
1410. Quantifying effects of changes in forest age distribution on the landslide frequency in Japan N. Lusiana et al.
1411. Study on the Progress in Climate-Change-Oriented Human Settlement Research Q. Yao et al.
1412. Non-Structural Landslide Risk Mitigation: Schemes, Application and Case Studies T. Chauhan et al.
1413. Multi-dimensional and long-term time series monitoring and early warning of landslide hazard with improved cross-platform SAR offset tracking method Y. Yin et al.
1414. Time capsule for landslide risk assessment Y. Lei et al.
1415. Spatiotemporal landslide evolution in upper Indian Himalayas post the great 2013 disaster using modified SALaD-CD framework A. Chowdhury & A. Bhardwaj
1416. A Semiautomatic Pixel-Object Method for Detecting Landslides Using Multitemporal ALOS-2 Intensity Images B. Adriano et al.
1417. An integrated approach for landslide susceptibility–vulnerability–risk assessment of building infrastructures in hilly regions of India A. Singh et al.
1418. Using historical data for developing a hazard and disaster profile of the Kashmir valley for the period 1900–2020 N. Ali et al.
1419. Disaster mitigation strategy based on local wisdom: A study of the Hindu-Javanese settlement community at Mount Lawu, Indonesia. F. Ikhsan et al.
1420. Application of statistical probabilistic methods in landslide susceptibility assessment in Kurseong and its surrounding area of Darjeeling Himalayan, India: RS-GIS approach A. Saha & S. Saha
1421. A Multi-Channel Convolutional Neural Network Model for Detecting Active Landslides Using Multi-Source Fusion Images J. Wang et al.
1422. Landslide Risk Assessment Using a Combined Approach Based on InSAR and Random Forest W. Liu et al.
1423. A model for interpreting the deformation mechanism of reservoir landslides in the Three Gorges Reservoir area, China Z. Zou et al.
1424. Assessing probability of failure of urban landslides through rapid characterization of soil properties and vegetation distribution S. Fiolleau et al.
1425. Distribution and temporal-spatial characteristics of geohazards in a rainstorm-prone area of SE China considering the land use Z. Guo et al.
1426. Laboratory Landquakes: Insights From Experiments Into the High‐Frequency Seismic Signal Generated by Geophysical Granular Flows M. Arran et al.
1427. GIS-driven multi-phase simulation framework for assessing rainfall-triggered landslides using SPH-FDM techniques A. Sajwan et al.
1428. Mapping Landslide Susceptibility Over Large Regions With Limited Data J. Woodard et al.
1429. Fatal landslides in China from 1940 to 2020: occurrences and vulnerabilities S. Zhang et al.
1430. Shape and Dimension Estimations of Landslide Rupture Zones via Correlations of Characteristic Parameters G. Domej et al.
1431. Constructing a complete landslide inventory dataset for the 2018 monsoon disaster in Kerala, India, for land use change analysis L. Hao et al.
1432. Rainfall-induced runoff and debris flows: modelling the Cervinara 1999 cascade flow-like mass movements S. Cuomo et al.
1433. Variability of landslide susceptibility models under different ground motion scenarios in Rasuwa district, Nepal M. Thapa et al.
1434. GIS-Based Expert Knowledge for Landslide Susceptibility Mapping (LSM): Case of Mostaganem Coast District, West of Algeria R. Senouci et al.
1435. Dynamics of population exposure to landslides under climate change scenarios P. Ghosh et al.
1436. Inventory of landslides triggered by an extreme rainfall event in Marche-Umbria, Italy, on 15 September 2022 M. Santangelo et al.
1437. FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides Z. Guo et al.
1438. Rapid characterisation of landslide heterogeneity using unsupervised classification of electrical resistivity and seismic refraction surveys J. Whiteley et al.
1439. Landslide Geomorphology: Pattern, Process and Stability H. Qiu & Y. Wei
1440. Cluster landslides and associated damage in the Dima Hasao district of Assam, India due to heavy rainfall in May 2022 P. Roy et al.
1441. Stacking ensemble for improved landslide susceptibility mapping in Darjeeling Himalayas, India S. Kumar et al.
1442. What controlled the occurrence of more than 116,000 human-mapped landslides triggered by Cyclone Gabrielle, New Zealand? C. Massey et al.
1443. Keynote lecture. The planar setup: A window through the complex interactions in granular flows M. Cabrera et al.
1444. Mapping method of rainfall-induced landslide hazards by infiltration and slope stability analysis N. Dolojan et al.
1445. Complex sliding characteristics of landslides and evaluation of the reinforcement with arched anti-slide piles based on 3D discrete element method: a case study Q. Xie et al.
1446. Spatiotemporal variations of non-seismically fatal landslides in Northwest China: A case study from Shaanxi province B. Lian et al.
1447. The performance of landslides frequency-area distribution analyses using a newly developed fully automatic tool A. Bounab et al.
1448. Trees as bioindicators of hillslope degradation by debris flows and dangerous rockfalls along the Lefthand Canyon, Colorado Front Range Ł. Pawlik et al.
1449. Enhancing the Accuracy of the REPTree by Integrating the Hybrid Ensemble Meta-Classifiers for Modelling the Landslide Susceptibility of Idukki District, South-western India R. Ajin et al.
1450. Landslide Risk Assessment in Eastern Kentucky, USA: Developing a Regional Scale, Limited Resource Approach M. Crawford et al.
1451. Combined Effect of the Microstructure and Mechanical Behavior of Lateritic Soils in the Instability of a Road Cut Slope in Rwanda R. Valentino et al.
1452. Behavior of soil slopes reinforced with composite-structural piles Y. Xiang et al.
1453. Invited perspectives: Building sustainable and resilient communities – recommended actions for natural hazard scientists J. Gill et al.
1454. Dynamic deformation monitoring and scenario simulation of the Xiaomojiu landslide in the Jinsha River Basin, China C. Zhang et al.
1455. Incorporating compound temporal precipitation dynamics to enhance landslide susceptibility modeling J. Wang et al.
1456. Assessment of landslide susceptibility in watersheds during extreme rainfall using a complex network of slope units C. Wang et al.
1457. A Spatio-Temporal Dataset for Satellite-Based Landslide Detection P. Höhn et al.
1458. A comprehensive global database of giant landslides on volcanic islands J. Blahůt et al.
1459. Simple rules to minimise exposure to coseismic landslide hazard D. Milledge et al.
1460. Causes of episodic movement of the Baijiabao landslide based on multiple-time scale analysis Z. Fu et al.
1461. Space-time modeling of cascading hazards: Chaining wildfires, rainfall and landslide events through machine learning M. Di Napoli et al.
1462. Atmospheric triggering conditions and climatic disposition of landslides in Kyrgyzstan and Tajikistan at the beginning of the 21st century X. Wang et al.
1463. Quantitative Hazard Prediction of Rainfall-Induced Shallow Landslides Considering Triggering and Predisposing Factors: A Case of Natural Terrain Landslides in Hong Kong Y. Chen et al.
1464. Enhancing landslide hazard prevention: Mapping vulnerability via considering the effects of human factors D. Yin et al.
1465. Probabilistic back-analysis of rainfall-induced landslides for slope reliability prediction with multi-source information S. Jiang et al.
1466. Review on the progress and future prospects of geological disasters prediction in the era of artificial intelligence X. Zhang et al.
1467. Application of ML- based approach for co-seismic landslides susceptibility mapping and identification of important controlling factors in eastern Himalayan region S. Kumar & A. Sengupta
1468. Random forest-based screening of environmental geohazard probability factors in Panshi city, China L. Qi et al.
1469. Automatic identification of landslide events from continuous seismic recordings using particle swarm optimization-optimized random forest J. Wen et al.
1470. Assessment of landslide susceptibility for Meghalaya (India) using bivariate (frequency ratio and Shannon entropy) and multi-criteria decision analysis (AHP and fuzzy-AHP) models N. Agrawal & J. Dixit
1471. Decoding Landslide Susceptibility in Wayanad District of Kerala, India, Using Machine Learning Approach I. Khan et al.
1472. Landslide spatial prediction utilizing fuzzy unordered rules induction ensemble models: a case study in Thai Nguyen, Vietnam H. Ha et al.
1473. Method for Landslide Area Detection with RVI Data Which Indicates Base Soil Areas Changed from Vegetated Areas K. Arai et al.
1474. A Comparative Study of Landslide Susceptibility Mapping Using SVM and PSO-SVM Models Based on Grid and Slope Units S. Zhao et al.
1475. Towards establishing rainfall thresholds for a real-time landslide early warning system in Sikkim, India G. Harilal et al.
1476. Landslide susceptibility modeling in a complex mountainous region of Sikkim Himalaya using new hybrid data mining approach A. Islam et al.
1477. CHILDA – Czech Historical Landslide Database M. Bíl et al.
1478. 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
1479. Multi-hazard susceptibility and exposure assessment of the Hindu Kush Himalaya J. Rusk et al.
1480. Landslide susceptibility mapping using statistical and machine learning models (case study: Austria) M. Moharrami & M. Jelokhani-Niaraki
1481. Landslide susceptibility assessment for Uttarakhand, a Himalayan state of India, using multi-criteria decision making, bivariate, and machine learning models V. Chauhan et al.
1482. From hazard mapping to risk governance: 20-year trajectory of land use/cover change impacts on landslide susceptibility via multi-modal scientometrics H. Zhu et al.
1483. Brief communication: Key papers of 20 years in Natural Hazards and Earth System Sciences A. Gain et al.
1484. Sendai voluntary commitments: landslide stakeholders and the all-of-society approach enhanced by UNDRR Y. Matsuoka & E. Gonzales Rocha
1485. Highway Proneness Appraisal to Landslides along Taiping to Ipoh Segment Malaysia, Using MCDM and GIS Techniques I. Yamusa et al.
1486. Landslide Risk Modeling using Data Mining in Hyrcanian Forests N. Nazariani & A. Fallah
1487. An integrated landslide susceptibility assessment in the Karakoram Mountains based on SBAS-InSAR and machine learning: a case study of the Hunza Valley X. Su et al.
1488. Future climate change implications in Bhutan from a downscaled and bias‐adjusted CMIP6 multimodel ensemble F. Lehner et al.
1489. Rainfall-Induced Landslide Assessment under Different Precipitation Thresholds Using Remote Sensing Data: A Central Andes Case G. Maragaño-Carmona et al.
1490. Quantitative assessment of landslide hazard and risk at regional-scale: a case study from central Vietnam R. Das et al.
1491. Regional chronology of landslide movements based on anatomical growth responses of trees: The České středohoří highlands K. Šilhán
1492. Calibration and Performance Evaluation of Cost-Effective Capacitive Moisture Sensor in Slope Model Experiments M. Hidayat et al.
1493. Exploring disaster ontologies from Chinese and Western perspectives: commonalities and nuances S. Goodall et al.
1494. Simulated or measured soil moisture: which one is adding more value to regional landslide early warning? A. Wicki et al.
1495. Investigating a Large-Scale Creeping Landmass Using Remote Sensing and Geophysical Techniques—The Case of Stropones, Evia, Greece J. Alexopoulos et al.
1496. Applications of UAV in landslide research: a review B. Chen et al.
1497. A novel landslide susceptibility optimization framework to assess landslide occurrence probability at the regional scale for environmental management X. Sun et al.
1498. Dynamics-Based Monitoring and Warning Systems for Rock Collapse Hazards: A Review and Field Implementations C. Chen et al.
1499. Damage assessment of buildings in the Western Himalayan region under soil subsidence, debris flood, and soil erosion events occurred during 2023 monsoon season M. Kulariya & S. Saha
1500. Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis Z. Yang et al.
1501. Hydrological-hydrodynamic simulation and analysis of the possible influence of the wind in the extraordinary flood of 1941 in Porto Alegre T. Possa et al.
1502. 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.
1503. Spatial joint hazard assessment of landslide susceptibility and intensity within a single framework: Environmental insights from the Wenchuan earthquake Z. Tang et al.
1504. Research on SSA-LSTM-Based Slope Monitoring and Early Warning Model S. Yang et al.
1505. Editorial: Big Earth Data for Disaster Risk Reduction F. Chen et al.
1506. Roads and landslides in Nepal: how development affects environmental risk B. McAdoo et al.
1507. 2-D Cross-Plot Model Analysis Using Integrated Geophysical Methods for Landslides Assessment M. Zakaria et al.
1508. Sentinel-1 SAR-based globally distributed co-seismic landslide detection by deep neural networks L. Nava et al.
1509. An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, Pakistan M. Basharat et al.
1510. Sustainable rural infrastructure: guidelines for roadside slope excavation P. Paudyal et al.
1511. Physics-informed data assimilation model for displacement prediction of hydrodynamic pressure-driven landslide Y. Liu et al.
1512. Improving the forecast performance of landslide susceptibility mapping by using ensemble gradient boosting algorithms H. Ha et al.
1513. Evaluation and prediction of compound geohazards in highly urbanized regions across China's Greater Bay Area K. He et al.
1514. The Alasu rock avalanche in the Tianshan Mountains, China: fragmentation, landforms, and kinematics Q. Lin et al.
1515. Assessing the effectiveness of landslide slope stability by analysing structural mitigation measures and community risk perception A. Kamal et al.
1516. Enhanced landslide susceptibility zonation using GIS-Based ensemble techniques A. Sharma et al.
1517. National-scale landslide susceptibility and risk mapping of India using a hybrid data-driven approach I. Khan et al.
1518. Mudline interpretation for superelevation-based velocity estimation: A perspective for practical applications A. Åberg et al.
1519. Identifying Potential Landslides on Giant Niexia Slope (China) Based on Integrated Multi-Remote Sensing Technologies X. Dong et al.
1520. A novel GRU–TimeMixerKAN hybrid model for robust landslide displacement forecasting: a case study of the Three Gorges Reservoir Area B. Li et al.
1521. Spatial Prediction of Landslide Susceptibility using Various Machine Learning Based Binary Classification Methods N. Anh et al.
1522. Guidelines for Studying Diverse Types of Compound Weather and Climate Events E. Bevacqua et al.
1523. Investigating the role of rock weathering and clay mineralogy in landslide occurrences within the exposed Tertiary Formations in Rangamati area S. Hossain et al.
1524. Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping N. Yokoya et al.
1525. A near-real-time global landslide incident reporting tool demonstrator using social media and artificial intelligence C. Pennington et al.
1526. Spatiotemporal Characteristics and Rainfall Thresholds of Geological Landslide Disasters in ASEAN Countries W. Lu et al.
1527. Multivariate statistical assessment for mapping landslide susceptibility: a case study of the Yilan area, Taiwan E. Putriani et al.
1528. Landslide susceptibility assessment using hybrid geospatial, frequency ratio, and AHP models in Souk Ahras province, Northeastern of Algeria N. Rebouh et al.
1529. GIS-based evolution and comparisons of landslide susceptibility mapping of the East Sikkim Himalaya N. Gupta et al.
1530. Cost-benefit methodology for road slope stabilisation E. Robson et al.
1531. Rainfall threshold for prediction of shallow landslides in the Garhwal Himalaya, India S. Saha & B. Bera
1532. Study on microstructure and permeability of a red clay area subjected to dry-wet cycles using X-ray micro computed tomography and AVIZO Z. Zhang et al.
1533. Exploring best-fit parameters for propagation modeling of shallow landslides, using Flow-R J. Palacio et al.
1534. Assessment of Ground Instabilities’ Causative Factors Using Multivariate Statistical Analysis Methods: Case of the Coastal Region of Northwestern Rif, Morocco H. Tribak et al.
1535. Discriminating Landslide Waveforms in Continuous Seismic Data Using Power Spectral Density Analysis R. Rekapalli et al.
1536. Rainfall Threshold for Shallow Landslides Initiation and Analysis of Long-Term Rainfall Trends in a Mediterranean Area A. Roccati et al.
1537. Failure characteristics and instability mechanism of the Hengshanbei catastrophic high-locality landslide in Guangdong, China J. Wang et al.
1538. Parallel simulations for fast‐moving landslides: Space‐time mesh adaptation and sharp tracking of the wetting front F. Gatti et al.
1539. Lethality level analysis of secondary landslides based on field survey data: a case study of Luding earthquake L. Yao et al.
1540. Land Use/ Land Cover Changes and Climate Change as Conditioning Factors for Landslide: A Review R. Verma et al.
1541. Towards Automatic Landslide-Quake Identification Using a Random Forest Classifier G. Lin et al.
1542. A novel framework for landslide displacement prediction using MT-InSAR and machine learning techniques C. Zhou et al.
1543. How size and trigger matter: analyzing rainfall- and earthquake-triggered landslide inventories and their causal relation in the Koshi River basin, central Himalaya J. Zhang et al.
1544. Exploring the association between landslides and fluvial suspended sediment in a semi-arid basin in central Chile I. Vergara et al.
1545. A Comparative Analysis of Slope Failure Prediction Using a Statistical and Machine Learning Approach on Displacement Data: Introducing a Tailored Performance Metric S. Chaulagain et al.
1546. Application of potential machine learning models in landslide susceptibility assessment: A case study of Van Yen district, Yen Bai province, Vietnam V. Tran et al.