215 citations as recorded by crossref.

1. Application and comparison of different ensemble learning machines combining with a novel sampling strategy for shallow landslide susceptibility mapping Z. Liang et al.
2. Multi-Scale Engineering Geological Zonation for Linear Projects in Mountainous Regions: A Case Study of National Highway 318 Chengdu-Shigatse Section Y. Li et al.
3. Indices of sediment connectivity: opportunities, challenges and limitations T. Heckmann et al.
4. Soil Electrical Resistivity for Spatial Sampling Design, Prediction, and Uncertainty Modeling of Soil Moisture G. Calamita et al.
5. Ensemble stacking: a powerful tool for landslide susceptibility assessment – a case study in Anhua County, Hunan Province, China L. Liu et al.
6. Landslide susceptibility mapping using AHP and fuzzy methods in the Gilan province, Iran Y. Bahrami et al.
7. Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree D. Tien Bui et al.
8. Chapter 13 Landslides on São Miguel Island (Azores): susceptibility analysis and validation of rupture zones using a bivariate GIS-based statistical approach R. Marques et al.
9. A Hybrid Model Consisting of Supervised and Unsupervised Learning for Landslide Susceptibility Mapping Z. Liang et al.
10. Acquiring vulnerability indicators to geo-hydrological hazards: An example of mobile phone-based data collection P. Salvati et al.
11. A comparison of statistical and machine learning methods for debris flow susceptibility mapping Z. Liang et al.
12. Magnitude–frequency characteristics and preparatory factors for spatial debris-slide distribution in the northern Faroe Islands M. Dahl et al.
13. Landslide susceptibility assessment using a three-level stacking ensemble strategy Y. Liu et al.
14. Characterization and quantification of path dependency in landslide susceptibility J. Samia et al.
15. Temporal prediction modeling for rainfall-induced shallow landslide hazards using extreme value distribution J. Lee et al.
16. Determination of alternative forest road routes using produced landslide susceptibility maps: A case study of Tonya (Trabzon), Türkiye F. Kadı & O. Yılmaz
17. The Lasting Signatures of Past Landslides on Soil Stripping From Landscapes L. Fan et al.
18. A comparative study of different machine learning models for landslide susceptibility prediction: a case study of Kullu-to-Rohtang pass transport corridor, India . Nirbhav et al.
19. Enhancing Landslide Susceptibility Mapping by Integrating Neighboring Information in Slope Units: A Spatial Logistic Regression L. Li et al.
20. Debris flow susceptibility mapping using the Rock Engineering System (RES) method: a case study D. Vianello et al.
21. Multi-Temporal Landslide Inventory-Based Statistical Susceptibility Modeling Associated With the 2017 Mw 6.5 Jiuzhaigou Earthquake, Sichuan, China L. Luo et al.
22. Assessing disasters in East Kalimantan: machine learning approaches for sustainable urban development S. Heo & D. Lee
23. A general landslide distribution applied to a small inventory in Todi, Italy D. Turcotte et al.
24. Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model D. Camilo et al.
25. Shifts in landslide frequency–area distribution after forest conversion in the tropical Andes M. Guns & V. Vanacker
26. Photo-geology of the Montefalco Quaternary Basin, Umbria, Central Italy F. Bucci et al.
27. Seasonal landslide mapping and estimation of landslide mobilization rates using aerial and satellite images F. Fiorucci et al.
28. Morphological and kinematic evolution of a large earthflow: The Montaguto landslide, southern Italy D. Giordan et al.
29. A multi-annual landslide inventory for the assessment of shallow landslide susceptibility – Two test cases in Vorarlberg, Austria T. Zieher et al.
30. Analysis of historical landslide time series in the Emilia‐Romagna region, northern Italy M. Rossi et al.
31. Addressing Missing Data in Slope Displacement Monitoring: Comparative Analysis of Advanced Imputation Methods S. Lee et al.
32. Sensitivity evaluation and prediction of extreme rainfall-induced landslides in Xinning, Hunan, China, using Gumbel extreme value theory and random forest model Y. Yu et al.
33. GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak-Turkey) C. Yilmaz et al.
34. Dynamic path-dependent landslide susceptibility modelling J. Samia et al.
35. Recommendations for the quantitative analysis of landslide risk J. Corominas et al.
36. Improvement of the predictive performance of landslide mapping models in mountainous terrains using cluster sampling M. Riaz et al.
37. Landslide susceptibility assessment using evidential belief function, certainty factor and frequency ratio model at Baxie River basin, NW China Z. Chen et al.
38. Landslide susceptibility assessment in Tongguan District Anhui China using information value and certainty factor models D. Ding et al.
39. Advances in landslide nowcasting: evaluation of a global and regional modeling approach D. Kirschbaum et al.
40. An Event-Based Inventory Approach in Landslide Hazard Assessment: The Case of the Skolis Mountain, Northwest Peloponnese, Greece A. Litoseliti et al.
41. Geoenvironmental conditioning of landsliding in river valleys of lowland regions and its significance in landslide susceptibility assessment: A case study in the Lower Vistula Valley, Northern Poland D. Grabowski et al.
42. Comparing physical and statistical landslide susceptibility models at the scale of individual trees R. Spiekermann et al.
43. LAND-deFeND – An innovative database structure for landslides and floods and their consequences E. Napolitano et al.
44. The influence of land use and land cover change on landslide susceptibility: a case study in Zhushan Town, Xuan'en County (Hubei, China) L. Chen et al.
45. Precipitation data and their uncertainty as input for rainfall-induced shallow landslide models Y. Chen et al.
46. Activity maps of multi-source mudslides from the Daunia Apennines (Apulia, southern Italy) L. Spalluto et al.
47. A Landslide Probability Model Based on a Long-Term Landslide Inventory and Rainfall Factors C. Wu & Y. Yeh
48. Economic landslide susceptibility under a socio-economic perspective: an application to Umbria Region (Central Italy) M. Donnini et al.
49. Comparative analysis of slope and grid units for co-seismic landslide susceptibility mapping using machine learning methods T. Bhattarai & N. Bhandary
50. Rainfall-conditioned landslide susceptibility mapping using an FR–CART hybrid framework in southern Thailand T. Pornbunyanon et al.
51. GIS-Multicriteria Analysis Using AHP to Evaluate the Landslide Risk in Road Lifelines G. Leonardi et al.
52. A Residual Neural Network Integrated with a Hydrological Model for Global Flood Susceptibility Mapping Based on Remote Sensing Datasets J. Liu et al.
53. Relevance of tectonic and structural parameters in Triassic bedrock formations to landslide susceptibility in Quaternary hillslope sediments B. Damm et al.
54. Comparative assessment of landslide susceptibility. Case study: the Niraj river basin (Transylvania depression, Romania) R. Sanda et al.
55. Is it possible to quantify pebble abrasion and velocity in rivers using terrestrial cosmogenic nuclides? S. Carretier & V. Regard
56. Landslide hazard assessment: recent trends and techniques S. Pardeshi et al.
57. A nation-wide system for landslide mapping and risk management in Italy: The second Not-ordinary Plan of Environmental Remote Sensing D. Di Martire et al.
58. Integrated research on disaster risk: Is it really integrated? M. Gall et al.
59. Landslide susceptibility analyses using Random Forest, C4.5, and C5.0 with balanced and unbalanced datasets B. Tanyu et al.
60. Landslide susceptibility map refinement using PSInSAR data A. Ciampalini et al.
61. Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas J. López-Vinielles et al.
62. Landslide potential mapping applying maximum entropy to continuous change maps R. Ramos-Bernal et al.
63. Landslide hazard assessment and mapping at national scale for Malawi Y. Thiery et al.
64. Landslide susceptibility mapping using statistical bivariate models and their hybrid with normalized spatial-correlated scale index and weighted calibrated landslide potential model Z. Chen et al.
65. The influence of systematically incomplete shallow landslide inventories on statistical susceptibility models and suggestions for improvements S. Steger et al.
66. A method for the assessment of the influence of bedding on landslide abundance and types M. Santangelo et al.
67. Quantifying the influence of individual trees on slope stability at landscape scale R. Spiekermann et al.
68. Implementing landslide path dependency in landslide susceptibility modelling J. Samia et al.
69. Reducing subjectivity in landslide susceptibility mapping method: an integrated methodology S. Gebru & T. Shewangzaw
70. An approach to reduce mapping errors in the production of landslide inventory maps M. Santangelo et al.
71. The future of landslides’ past—a framework for assessing consecutive landsliding systems A. Temme et al.
72. Slope stability assessment of a major trunk road at Scrabster Harbour, Scotland, UK M. Katchkin et al.
73. Bridging Gaps in Landslide Mapping: A Semi-Quantitative Empirical Framework for Delineating Key Areas to Improve Collection of Essential Field-Based and Supplementary Remote-Based Data N. Perilli et al.
74. Landslide susceptibility zonation using geospatial technique and analytical hierarchy process in Sikkim Himalaya I. Sonker et al.
75. Sample size matters: investigating the effect of sample size on a logistic regression susceptibility model for debris flows T. Heckmann et al.
76. Landslide characterization and distribution in northern Ethiopia: a case study from the Adishu area K. Amare et al.
77. Landslide susceptibility assessment in Zhenxiong County of China based on geographically weighted logistic regression model T. Gu et al.
78. Assessing the effectiveness of alternative landslide partitioning in machine learning methods for landslide prediction in the complex Himalayan terrain M. Riaz et al.
79. The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution A. Rosi et al.
80. Shallow landslides susceptibility assessment in different environments M. Persichillo et al.
81. Solving large deformation problems in geotechnical and geo-environmental engineering with the smoothed particle hydrodynamics: a state-of-the-art review of constitutive solutions K. Onyelowe et al.
82. Combining spatial modelling and regionalization of rainfall thresholds for debris flows hazard mapping in the Emilia-Romagna Apennines (Italy) C. G. et al.
83. A holistic approach of remote sensing, GIS, and machine learning for shallow landslide susceptibility mapping in Gaganbawada region of Western Ghats, India A. Patil & S. Panhalkar
84. Preparing first-time slope failures hazard maps: from pixel-based to slope unit-based G. Domènech et al.
85. Climate change-induced shifts in landslide susceptibility in São Sebastião (southeastern Brazil) E. Alcântara et al.
86. How can statistical models help to determine driving factors of landslides? P. Vorpahl et al.
87. Characterising the spatial distribution, frequency and geomorphic controls on landslide occurrence, Molise, Italy E. Borgomeo et al.
88. Assessment of temporal probability for rainfall-induced landslides based on nonstationary extreme value analysis H. Kim et al.
89. Estimating the quality of landslide susceptibility models F. Guzzetti et al.
90. Landslides in a changing climate S. Gariano & F. Guzzetti
91. Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity M. Bordoni et al.
92. Landslide hazard probability and risk assessment at the community level: a case of western Hubei, China S. Fu et al.
93. Non-susceptible landslide areas in Italy and in the Mediterranean region I. Marchesini et al.
94. Enhancing landslide susceptibility mapping incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir, China L. Yu et al.
95. Stacking ensemble of machine learning methods for landslide susceptibility mapping in Zhangjiajie City, Hunan Province, China Y. Huan et al.
96. The contribution of satellite SAR-derived displacement measurements in landslide risk management practices F. Raspini et al.
97. Comparing landslide inventory maps M. Galli et al.
98. Regional Landslide Hazard Assessment Using Extreme Value Analysis and a Probabilistic Physically Based Approach H. Park et al.
99. Landslide susceptibility, ensemble machine learning, and accuracy methods in the southern Sinai Peninsula, Egypt: Assessment and Mapping A. Youssef et al.
100. Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images A. Mondini et al.
101. Chrono-validation of near-real-time landslide susceptibility models via plug-in statistical simulations L. Lombardo & H. Tanyas
102. A ground instabilities inventory between Tetouan and Jebha (Morocco): mapping, description and analysis H. Tribak et al.
103. Landslide mapping with multi-scale object-based image analysis – a case study in the Baichi watershed, Taiwan T. Lahousse et al.
104. Quantitative landslide risk analysis in the Hashtchin area (NW-Iran) R. Talaei & S. Samadov
105. The Influence of Different Knowledge-Driven Methods on Landslide Susceptibility Mapping: A Case Study in the Changbai Mountain Area, Northeast China Z. Ma et al.
106. Assessment of landslide age, landslide persistence and human impact using airborne laser scanning digital terrain models R. Bell et al.
107. Qualitative Rockfall Hazard Assessment: A Comprehensive Review of Current Practices F. Ferrari et al.
108. Earthquake-triggered landslide susceptibility in Italy by means of Artificial Neural Network G. Amato et al.
109. Comprehensive risk mapping and management of rainfall-induced slope failures in urbanizing subtropical regions F. Yang & M. Hasan
110. Mapping landslide susceptibility using data-driven methods J. Zêzere et al.
111. Assessing Many Image Processing Products Retrieved from Sentinel-2 Data to Monitor Shallow Landslides in Agricultural Environments R. Cavalli et al.
112. Lithological and seasonal control on rainfall thresholds for the possible initiation of landslides in central Italy S. Peruccacci et al.
113. Variations in the susceptibility to landslides, as a consequence of land cover changes: A look to the past, and another towards the future L. Pisano et al.
114. Satellite interferometric data for landslide intensity evaluation in mountainous regions L. Solari et al.
115. Landslide susceptibility evaluation and hazard zonation techniques – a review L. Shano et al.
116. Landslide susceptibility–certainty mapping by a multi-method approach: A case study in the Tertiary basin of Puy-en-Velay (Massif central, France) A. Poiraud
117. Automatic Identification Model for Landslide Disaster Using Remote Sensing Images Based on Improved Multiresunet Z. Zhao et al.
118. Landslide susceptibility assessment using the frequency ratio model in the Mae Chan River watershed, northern Thailand P. Manopkawee & N. Mankhemthong
119. Heyelan Duyarlılığının Analitik Hiyerarşi Süreci (AHS) ve Frekans Oranı (FR) ile Belirlenmesi: Kürk Çayı Havzası (Elazığ) Örneği T. Öz
120. Probabilistic landslide hazard and indicator-based risk assessment in a data-scarce Indian Himalayan terrain S. Das et al.
121. Study on landslide susceptibility mapping with different factor screening methods and random forest models T. Gu et al.
122. Landslide failure and runout susceptibility in the upper T. Ceno valley (Northern Apennines, Italy) A. Clerici et al.
123. Preliminary assessment of landslide vulnerability of road-cut slopes along the Garhwal Himalayas, using landslide possibility index (LPI) approach S. Singh et al.
124. Evaluating the quality of landslide inventory maps: comparison between archive and surveyed inventories for the Daunia region (Apulia, Southern Italy) R. Pellicani & G. Spilotro
125. A review of statistically-based landslide susceptibility models P. Reichenbach et al.
126. Landslide Vulnerability and Risk Assessment of Matara District Using the Geospatial Technologies P. Kokawalage & H. Herath
127. A Heuristic Method to Evaluate the Effect of Soil Tillage on Slope Stability: A Pilot Case in Central Italy E. Volpe et al.
128. Uncertainty in landslide occurrence prediction using Dempster–Shafer theory A. Milaghardan et al.
129. Landslide susceptibility zoning through physically-based limit equilibrium method modelling F. Mevoli et al.
130. Integrating spatial, temporal, and size probabilities for the annual landslide hazard maps in the Shihmen watershed, Taiwan C. Wu & S. Chen
131. Logistic regression applied to natural hazards: rare event logistic regression with replications M. Guns & V. Vanacker
132. Integrated Analysis of Rockfalls and Floods in the Jiului Gorge, Romania: Impacts on Road and Rail Traffic M. Puie & B. Mihai
133. Occurrence of landsliding on slopes where flowsliding had previously occurred: An investigation in a loess platform, North-west China L. Xu et al.
134. Remote sensing and GIS-based landslide susceptibility mapping using LNRF method in part of Western Ghats of India A. Patil & S. Panhalkar
135. Landslide susceptibility mapping using GIS Matrix Method and Frequency Ratio, application in the marly context of Moulay Yacoub Region, Morocco I. Obda et al.
136. An updated landslide susceptibility model and a log-Gaussian Cox process extension for Scotland E. Bryce et al.
137. Landslide Susceptibility Mapping in Terms of the Slope-Unit or Raster-Unit, Which is Better? S. Ma et al.
138. Improving predictive power of physically based rainfall-induced shallow landslide models: a probabilistic approach S. Raia et al.
139. A strategy for GIS-based 3-D slope stability modelling over large areas M. Mergili et al.
140. Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al.
141. AHP-based landslide susceptibility assessment along National highway 7 (651.000 KM to 731.000 KM) in India G. Kumar et al.
142. Spatially distributed three-dimensional slope stability modelling in a raster GIS M. Mergili et al.
143. Lineament mapping and its application in landslide hazard assessment: a review M. Ramli et al.
144. Accounting for covariate distributions in slope-unit-based landslide susceptibility models. A case study in the alpine environment G. Amato et al.
145. From scenario-based seismic hazard to scenario-based landslide hazard: rewinding to the past via statistical simulations L. Luo et al.
146. Landslide consequence analysis: a region-scale indicator-based methodology A. Puissant et al.
147. Incorporating spatial heterogeneity of environmental variables into landslide susceptibility prediction X. Zhao et al.
148. Landslide Hazard Assessment for National Rail Network K. Freeborough et al.
149. Enhancing landslide disaster prediction by evaluating non landslide area sampling in machine learning models for Spiti Valley India D. Dhakal et al.
150. Optimal landslide susceptibility zonation based on multiple forecasts M. Rossi et al.
151. Bayesian framework for mapping and classifying shallow landslides exploiting remote sensing and topographic data A. Mondini et al.
152. Landslide susceptibility assessment using different slope units based on the evidential belief function model Z. Chen et al.
153. Landslides in Tijuana, Mexico: hazard assessment in an urban neighborhood A. Oliva González et al.
154. 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.
155. Scale Effects in Landslide Susceptibility Assessment: Integrating Slope Unit Division and SHAP-Based Interpretability in a Typical River Basin W. Hu et al.
156. A review on spatial, temporal and magnitude prediction of landslide hazard A. Tyagi et al.
157. Exploring the potential relationship between the occurrence of debris flow and landslides Z. Liang et al.
158. Physically-based modelling of granular flows with Open Source GIS M. Mergili et al.
159. Landslide inventory maps: New tools for an old problem F. Guzzetti et al.
160. Landslide susceptibility assessment: what are the effects of mapping unit and mapping method? A. Erener & H. Düzgün
161. Hazard and population vulnerability analysis: a step towards landslide risk assessment F. Murillo-García et al.
162. Evaluation of Unsupervised Change Detection Methods Applied to Landslide Inventory Mapping Using ASTER Imagery R. Ramos-Bernal et al.
163. The role of geomorphology, rainfall and soil moisture in the occurrence of landslides triggered by 2018 Typhoon Mangkhut in the Philippines C. Abancó et al.
164. Characterizing Rainfall Discrepancies Between Landslide Sites and the Nearest Rain Gauges Using Radar Estimates: A Case Study from Italy C. Vennari et al.
165. A national assessment of landslide hazard from Outside Party Slopes to the rail network of Great Britain K. Freeborough et al.
166. Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning R. Fell et al.
167. Shallow-landslide stability evaluation in loess areas according to the Revised Infinite Slope Model: a case study of the 7.25 Tianshui sliding-flow landslide events of 2013 in the southwest of the Loess Plateau, China J. Zhuang et al.
168. A Hybrid Variable Weight Theory Approach of Hierarchical Analysis and Multi-Layer Perceptron for Landslide Susceptibility Evaluation: A Case Study in Luanchuan County, China M. Li et al.
169. Causes of landslide recurrence in a loess platform with respect to hydrological processes L. Xu et al.
170. Physical Vulnerability and Landslide Risk Assessment in Tegucigalpa City, Honduras G. Suárez & M. Domínguez-Cuesta
171. Geostatistical Modeling to Capture Seismic‐Shaking Patterns From Earthquake‐Induced Landslides L. Lombardo et al.
172. Landslide susceptibility mapping along Rishikesh–Badrinath national highway (Uttarakhand) by applying multi-criteria decision-making (MCDM) approach M. Ramiz et al.
173. Data Fusion Technique Using Wavelet Transform and Taguchi Methods for Automatic Landslide Detection From Airborne Laser Scanning Data and QuickBird Satellite Imagery B. Pradhan et al.
174. Application of remote sensing data and GIS for landslide risk assessment as an environmental threat to Izmir city (west Turkey) A. Akgun et al.
175. Landslide Susceptibility Assessment Using Conditional Analysis and Rare Events Logistics Regression: A Case-Study in the Antrodoco Area (Rieti, Italy) V. Chiessi et al.
176. Topographic predictors of susceptibility to alluvial fan flooding, Southern Apennines N. Santangelo et al.
177. Economic Risk Assessment of Future Debris Flows by Machine Learning Method C. Qiu et al.
178. Application of environmental variables in statistically-based landslide susceptibility mapping: A review X. Zhao et al.
179. Shaping Sustainable Urban Environments by Addressing the Hydro-Meteorological Factors in Landslide Occurrence: Ciuperca Hill (Oradea, Romania) C. Morar et al.
180. A Comparative Study of Landslide Susceptibility Mapping Using SVM and PSO-SVM Models Based on Grid and Slope Units S. Zhao et al.
181. Improved Shallow Landslide Susceptibility Prediction Based on Statistics and Ensemble Learning Z. Liang et al.
182. Stacking ensemble for improved landslide susceptibility mapping in Darjeeling Himalayas, India S. Kumar et al.
183. Landslide susceptibility mapping in Lesalso (Laelay Maichew), Northern Ethiopia: a GIS approach using frequency ratio and analytical hierarchy process methods A. Gebrehiwot et al.
184. Landslide vulnerability and risk assessment for multi-hazard scenarios using airborne laser scanning data (LiDAR) W. Abdulwahid & B. Pradhan
185. Landslide databases for climate change detection and attribution J. Wood et al.
186. Space-time landslide predictive modelling L. Lombardo et al.
187. 机器学习在滑坡智能防灾减灾中的应用与发展趋势 J. Dou et al.
188. National and regional-scale landslide indicators and indexes: Applications in Italy M. Donnini et al.
189. A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China W. Chen et al.
190. Tree-ring reconstruction of reactivation phases of the Schimbrig landslide (Swiss Alps) J. Lopez-Saez et al.
191. Landslides hazard, vulnerability and risk mapping in the data-poor region of northern Pakistan Y. Ullah et al.
192. Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study R. Schlögel et al.
193. Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario S. Pereira et al.
194. Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey H. Nefeslioglu et al.
195. Landslide size matters: A new data-driven, spatial prototype L. Lombardo et al.
196. A Multi-Criteria GIS-Based Approach for Risk Assessment of Slope Instability Driven by Glacier Melting in the Alpine Area G. Castellazzi & M. Previtali
197. Residual mechanisms and kinematics of the relict Lemeglio coastal landslide (Liguria, northwestern Italy) A. Cevasco et al.
198. Evaluation of Conditioning Factors of Slope Instability and Continuous Change Maps in the Generation of Landslide Inventory Maps Using Machine Learning (ML) Algorithms R. Ramos-Bernal et al.
199. A CONCEPTUAL STUDY ON METHODOLOGIES FOR LANDSLIDE HAZARD: INVENTORIES, SUSCEPTIBILITY, VULNERABILITY, AND RISK ANALYSIS A. Taye & R. Tamang
200. GIS-based landslide susceptibility mapping method and Shannon entropy model: a case study on Sakaleshapur Taluk, Western Ghats, Karnataka, India A. Rahaman et al.
201. Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives M. Scaioni et al.
202. GIS-based assessment of risk due to salt mining activities at Tuzla (Bosnia and Herzegovina) F. Mancini et al.
203. Comparison of conditioning factor classification criteria in large-scale statistically based landslide susceptibility models M. Sinčić et al.
204. A high-precision catalogue of landslide events in China based on news text mining with large language model B. Zhao et al.
205. A revised landslide inventory of the Campania region (Italy) F. Fusco et al.
206. Analysis of landslide inventories for accurate prediction of debris-flow source areas J. Blahut et al.
207. Extreme gradient boosting with Shapley Additive Explanations for landslide susceptibility at slope unit and hydrological response unit scales A. Pradhan et al.
208. Temporal correlations and clustering of landslides A. Witt et al.
209. GIS-based logistic regression for rainfall-induced landslide susceptibility mapping under different grid sizes in Yueqing, Southeastern China Y. Zhao et al.
210. The Influence of Land Use Change on Landslide Susceptibility Zonation: The Briga Catchment Test Site (Messina, Italy) P. Reichenbach et al.
211. Landslide Vulnerability Criteria: A Case Study from Umbria, Central Italy M. Galli & F. Guzzetti
212. High-Resolution Lidar-Derived DEM for Landslide Susceptibility Assessment Using AHP and Fuzzy Logic in Serdang, Malaysia J. Okoli et al.
213. Estimate earth fissure hazard based on machine learning in the Qa’ Jahran Basin, Yemen Y. Al-Masnay et al.
214. Numerical and analytical models of cosmogenic radionuclide dynamics in landslide‐dominated drainage basins B. Yanites et al.
215. Assessment of data availability for the development of landslide fatality curves T. Grahn & H. Jaldell