184 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. 10.1007/s00477-020-01893-y
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. 10.3390/rs15184619
3. Indices of sediment connectivity: opportunities, challenges and limitations T. Heckmann et al. 10.1016/j.earscirev.2018.08.004
4. Soil Electrical Resistivity for Spatial Sampling Design, Prediction, and Uncertainty Modeling of Soil Moisture G. Calamita et al. 10.2136/vzj2017.01.0022
5. Ensemble stacking: a powerful tool for landslide susceptibility assessment – a case study in Anhua County, Hunan Province, China L. Liu et al. 10.1080/10106049.2024.2326005
6. Landslide susceptibility mapping using AHP and fuzzy methods in the Gilan province, Iran Y. Bahrami et al. 10.1007/s10708-020-10162-y
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. 10.1007/s10346-015-0557-6
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. 10.1144/M44.13
9. A Hybrid Model Consisting of Supervised and Unsupervised Learning for Landslide Susceptibility Mapping Z. Liang et al. 10.3390/rs13081464
10. Acquiring vulnerability indicators to geo-hydrological hazards: An example of mobile phone-based data collection P. Salvati et al. 10.1016/j.ijdrr.2021.102087
11. A comparison of statistical and machine learning methods for debris flow susceptibility mapping Z. Liang et al. 10.1007/s00477-020-01851-8
12. Magnitude–frequency characteristics and preparatory factors for spatial debris-slide distribution in the northern Faroe Islands M. Dahl et al. 10.1016/j.geomorph.2012.09.015
13. Characterization and quantification of path dependency in landslide susceptibility J. Samia et al. 10.1016/j.geomorph.2017.04.039
14. Temporal prediction modeling for rainfall-induced shallow landslide hazards using extreme value distribution J. Lee et al. 10.1007/s10346-020-01502-7
15. Determination of alternative forest road routes using produced landslide susceptibility maps: A case study of Tonya (Trabzon), Türkiye F. Kadı & O. Yılmaz 10.26833/ijeg.1355615
16. The Lasting Signatures of Past Landslides on Soil Stripping From Landscapes L. Fan et al. 10.1029/2021WR030375
17. 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. 10.1007/s12665-023-10846-x
18. Debris flow susceptibility mapping using the Rock Engineering System (RES) method: a case study D. Vianello et al. 10.1007/s10346-022-01985-6
19. Multi-Temporal Landslide Inventory-Based Statistical Susceptibility Modeling Associated With the 2017 Mw 6.5 Jiuzhaigou Earthquake, Sichuan, China L. Luo et al. 10.3389/fenvs.2022.858635
20. A general landslide distribution applied to a small inventory in Todi, Italy D. Turcotte et al. 10.1144/GSL.SP.2006.261.01.08
21. Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model D. Camilo et al. 10.1016/j.envsoft.2017.08.003
22. Shifts in landslide frequency–area distribution after forest conversion in the tropical Andes M. Guns & V. Vanacker 10.1016/j.ancene.2014.08.001
23. Photo-geology of the Montefalco Quaternary Basin, Umbria, Central Italy F. Bucci et al. 10.1080/17445647.2016.1210042
24. Seasonal landslide mapping and estimation of landslide mobilization rates using aerial and satellite images F. Fiorucci et al. 10.1016/j.geomorph.2011.01.013
25. Morphological and kinematic evolution of a large earthflow: The Montaguto landslide, southern Italy D. Giordan et al. 10.1016/j.geomorph.2012.12.035
26. A multi-annual landslide inventory for the assessment of shallow landslide susceptibility – Two test cases in Vorarlberg, Austria T. Zieher et al. 10.1016/j.geomorph.2016.02.008
27. Analysis of historical landslide time series in the Emilia‐Romagna region, northern Italy M. Rossi et al. 10.1002/esp.1858
28. GIS-based landslide susceptibility mapping using bivariate statistical analysis in Devrek (Zonguldak-Turkey) C. Yilmaz et al. 10.1007/s12665-011-1196-4
29. Dynamic path-dependent landslide susceptibility modelling J. Samia et al. 10.5194/nhess-20-271-2020
30. Recommendations for the quantitative analysis of landslide risk J. Corominas et al. 10.1007/s10064-013-0538-8
31. Improvement of the predictive performance of landslide mapping models in mountainous terrains using cluster sampling M. Riaz et al. 10.1080/10106049.2022.2066202
32. Landslide susceptibility assessment using evidential belief function, certainty factor and frequency ratio model at Baxie River basin, NW China Z. Chen et al. 10.1080/10106049.2017.1404143
33. Advances in landslide nowcasting: evaluation of a global and regional modeling approach D. Kirschbaum et al. 10.1007/s12665-011-0990-3
34. An Event-Based Inventory Approach in Landslide Hazard Assessment: The Case of the Skolis Mountain, Northwest Peloponnese, Greece A. Litoseliti et al. 10.3390/ijgi9070457
35. 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. 10.1016/j.geomorph.2022.108490
36. Comparing physical and statistical landslide susceptibility models at the scale of individual trees R. Spiekermann et al. 10.1016/j.geomorph.2023.108870
37. LAND-deFeND – An innovative database structure for landslides and floods and their consequences E. Napolitano et al. 10.1016/j.jenvman.2017.11.022
38. 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. 10.5194/nhess-19-2207-2019
39. Precipitation data and their uncertainty as input for rainfall-induced shallow landslide models Y. Chen et al. 10.1007/s11707-019-0791-7
40. Activity maps of multi-source mudslides from the Daunia Apennines (Apulia, southern Italy) L. Spalluto et al. 10.1007/s11069-020-04461-3
41. A Landslide Probability Model Based on a Long-Term Landslide Inventory and Rainfall Factors C. Wu & Y. Yeh 10.3390/w12040937
42. Economic landslide susceptibility under a socio-economic perspective: an application to Umbria Region (Central Italy) M. Donnini et al. 10.1007/s10037-020-00143-6
43. GIS-Multicriteria Analysis Using AHP to Evaluate the Landslide Risk in Road Lifelines G. Leonardi et al. 10.3390/app12094707
44. A Residual Neural Network Integrated with a Hydrological Model for Global Flood Susceptibility Mapping Based on Remote Sensing Datasets J. Liu et al. 10.3390/rs15092447
45. Relevance of tectonic and structural parameters in Triassic bedrock formations to landslide susceptibility in Quaternary hillslope sediments B. Damm et al. 10.1016/j.quaint.2010.02.022
46. Comparative assessment of landslide susceptibility. Case study: the Niraj river basin (Transylvania depression, Romania) R. Sanda et al. 10.1080/19475705.2015.1030784
47. Is it possible to quantify pebble abrasion and velocity in rivers using terrestrial cosmogenic nuclides? S. Carretier & V. Regard 10.1029/2011JF001968
48. Landslide hazard assessment: recent trends and techniques S. Pardeshi et al. 10.1186/2193-1801-2-523
49. 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. 10.1016/j.jag.2017.07.018
50. Integrated research on disaster risk: Is it really integrated? M. Gall et al. 10.1016/j.ijdrr.2015.01.010
51. Landslide susceptibility analyses using Random Forest, C4.5, and C5.0 with balanced and unbalanced datasets B. Tanyu et al. 10.1016/j.catena.2021.105355
52. Landslide susceptibility map refinement using PSInSAR data A. Ciampalini et al. 10.1016/j.rse.2016.07.018
53. Combining Satellite InSAR, Slope Units and Finite Element Modeling for Stability Analysis in Mining Waste Disposal Areas J. López-Vinielles et al. 10.3390/rs13102008
54. Landslide potential mapping applying maximum entropy to continuous change maps R. Ramos-Bernal et al. 10.1007/s12518-024-00596-1
55. Landslide hazard assessment and mapping at national scale for Malawi Y. Thiery et al. 10.1016/j.jafrearsci.2024.105187
56. 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. 10.1007/s12665-021-09603-9
57. The influence of systematically incomplete shallow landslide inventories on statistical susceptibility models and suggestions for improvements S. Steger et al. 10.1007/s10346-017-0820-0
58. A method for the assessment of the influence of bedding on landslide abundance and types M. Santangelo et al. 10.1007/s10346-014-0485-x
59. Quantifying the influence of individual trees on slope stability at landscape scale R. Spiekermann et al. 10.1016/j.jenvman.2021.112194
60. Implementing landslide path dependency in landslide susceptibility modelling J. Samia et al. 10.1007/s10346-018-1024-y
61. An approach to reduce mapping errors in the production of landslide inventory maps M. Santangelo et al. 10.5194/nhess-15-2111-2015
62. The future of landslides’ past—a framework for assessing consecutive landsliding systems A. Temme et al. 10.1007/s10346-020-01405-7
63. Slope stability assessment of a major trunk road at Scrabster Harbour, Scotland, UK M. Katchkin et al. 10.1144/qjegh2021-187
64. Landslide susceptibility zonation using geospatial technique and analytical hierarchy process in Sikkim Himalaya I. Sonker et al. 10.1016/j.qsa.2021.100039
65. Sample size matters: investigating the effect of sample size on a logistic regression susceptibility model for debris flows T. Heckmann et al. 10.5194/nhess-14-259-2014
66. Landslide characterization and distribution in northern Ethiopia: a case study from the Adishu area K. Amare et al. 10.1007/s10064-017-1064-x
67. Landslide susceptibility assessment in Zhenxiong County of China based on geographically weighted logistic regression model T. Gu et al. 10.1080/10106049.2021.1903571
68. Assessing the effectiveness of alternative landslide partitioning in machine learning methods for landslide prediction in the complex Himalayan terrain M. Riaz et al. 10.1177/03091333221113660
69. The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution A. Rosi et al. 10.1007/s10346-017-0861-4
70. Shallow landslides susceptibility assessment in different environments M. Persichillo et al. 10.1080/19475705.2016.1265011
71. 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. 10.1007/s12665-023-11079-8
72. Combining spatial modelling and regionalization of rainfall thresholds for debris flows hazard mapping in the Emilia-Romagna Apennines (Italy) C. G. et al. 10.1007/s10346-021-01739-w
73. 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 10.1007/s43538-024-00305-x
74. Preparing first-time slope failures hazard maps: from pixel-based to slope unit-based G. Domènech et al. 10.1007/s10346-019-01279-4
75. How can statistical models help to determine driving factors of landslides? P. Vorpahl et al. 10.1016/j.ecolmodel.2011.12.007
76. Characterising the spatial distribution, frequency and geomorphic controls on landslide occurrence, Molise, Italy E. Borgomeo et al. 10.1016/j.geomorph.2014.08.004
77. Assessment of temporal probability for rainfall-induced landslides based on nonstationary extreme value analysis H. Kim et al. 10.1016/j.enggeo.2021.106372
78. Estimating the quality of landslide susceptibility models F. Guzzetti et al. 10.1016/j.geomorph.2006.04.007
79. Landslides in a changing climate S. Gariano & F. Guzzetti 10.1016/j.earscirev.2016.08.011
80. Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity M. Bordoni et al. 10.5194/nhess-18-1735-2018
81. Landslide hazard probability and risk assessment at the community level: a case of western Hubei, China S. Fu et al. 10.5194/nhess-20-581-2020
82. Non-susceptible landslide areas in Italy and in the Mediterranean region I. Marchesini et al. 10.5194/nhess-14-2215-2014
83. Enhancing landslide susceptibility mapping incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir, China L. Yu et al. 10.1016/j.gsf.2024.101802
84. Stacking ensemble of machine learning methods for landslide susceptibility mapping in Zhangjiajie City, Hunan Province, China Y. Huan et al. 10.1007/s12665-022-10723-z
85. The contribution of satellite SAR-derived displacement measurements in landslide risk management practices F. Raspini et al. 10.1007/s11069-016-2691-4
86. Comparing landslide inventory maps M. Galli et al. 10.1016/j.geomorph.2006.09.023
87. Regional Landslide Hazard Assessment Using Extreme Value Analysis and a Probabilistic Physically Based Approach H. Park et al. 10.3390/su14052628
88. Landslide susceptibility, ensemble machine learning, and accuracy methods in the southern Sinai Peninsula, Egypt: Assessment and Mapping A. Youssef et al. 10.1007/s11069-024-06769-w
89. Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images A. Mondini et al. 10.1016/j.rse.2011.03.006
90. Chrono-validation of near-real-time landslide susceptibility models via plug-in statistical simulations L. Lombardo & H. Tanyas 10.1016/j.enggeo.2020.105818
91. A ground instabilities inventory between Tetouan and Jebha (Morocco): mapping, description and analysis H. Tribak et al. 10.1007/s10064-023-03161-z
92. Landslide mapping with multi-scale object-based image analysis – a case study in the Baichi watershed, Taiwan T. Lahousse et al. 10.5194/nhess-11-2715-2011
93. Quantitative landslide risk analysis in the Hashtchin area (NW-Iran) R. Talaei & S. Samadov 10.1080/19648189.2016.1229224
94. 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. 10.3390/e21040372
95. Assessment of landslide age, landslide persistence and human impact using airborne laser scanning digital terrain models R. Bell et al. 10.1111/j.1468-0459.2012.00454.x
96. Qualitative Rockfall Hazard Assessment: A Comprehensive Review of Current Practices F. Ferrari et al. 10.1007/s00603-016-0918-z
97. Earthquake-triggered landslide susceptibility in Italy by means of Artificial Neural Network G. Amato et al. 10.1007/s10064-023-03163-x
98. Mapping landslide susceptibility using data-driven methods J. Zêzere et al. 10.1016/j.scitotenv.2017.02.188
99. Assessing Many Image Processing Products Retrieved from Sentinel-2 Data to Monitor Shallow Landslides in Agricultural Environments R. Cavalli et al. 10.3390/rs16132286
100. Lithological and seasonal control on rainfall thresholds for the possible initiation of landslides in central Italy S. Peruccacci et al. 10.1016/j.geomorph.2011.10.005
101. 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. 10.1016/j.scitotenv.2017.05.231
102. Satellite interferometric data for landslide intensity evaluation in mountainous regions L. Solari et al. 10.1016/j.jag.2019.102028
103. Landslide susceptibility evaluation and hazard zonation techniques – a review L. Shano et al. 10.1186/s40677-020-00152-0
104. 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 10.1016/j.geomorph.2014.04.001
105. Probabilistic landslide hazard and indicator-based risk assessment in a data-scarce Indian Himalayan terrain S. Das et al. 10.1007/s10064-024-03861-0
106. Study on landslide susceptibility mapping with different factor screening methods and random forest models T. Gu et al. 10.1371/journal.pone.0292897
107. Landslide failure and runout susceptibility in the upper T. Ceno valley (Northern Apennines, Italy) A. Clerici et al. 10.1007/s11069-009-9349-4
108. Evaluating the quality of landslide inventory maps: comparison between archive and surveyed inventories for the Daunia region (Apulia, Southern Italy) R. Pellicani & G. Spilotro 10.1007/s10064-014-0639-z
109. A review of statistically-based landslide susceptibility models P. Reichenbach et al. 10.1016/j.earscirev.2018.03.001
110. A Heuristic Method to Evaluate the Effect of Soil Tillage on Slope Stability: A Pilot Case in Central Italy E. Volpe et al. 10.3390/land11060912
111. Uncertainty in landslide occurrence prediction using Dempster–Shafer theory A. Milaghardan et al. 10.1007/s40808-016-0240-5
112. Integrating spatial, temporal, and size probabilities for the annual landslide hazard maps in the Shihmen watershed, Taiwan C. Wu & S. Chen 10.5194/nhess-13-2353-2013
113. Logistic regression applied to natural hazards: rare event logistic regression with replications M. Guns & V. Vanacker 10.5194/nhess-12-1937-2012
114. Integrated Analysis of Rockfalls and Floods in the Jiului Gorge, Romania: Impacts on Road and Rail Traffic M. Puie & B. Mihai 10.3390/app142210270
115. Occurrence of landsliding on slopes where flowsliding had previously occurred: An investigation in a loess platform, North-west China L. Xu et al. 10.1016/j.catena.2012.11.010
116. Remote sensing and GIS-based landslide susceptibility mapping using LNRF method in part of Western Ghats of India A. Patil & S. Panhalkar 10.1016/j.qsa.2023.100095
117. Landslide susceptibility mapping using GIS Matrix Method and Frequency Ratio, application in the marly context of Moulay Yacoub Region, Morocco I. Obda et al. 10.1051/bsgf/2023016
118. An updated landslide susceptibility model and a log-Gaussian Cox process extension for Scotland E. Bryce et al. 10.1007/s10346-024-02368-9
119. Landslide Susceptibility Mapping in Terms of the Slope-Unit or Raster-Unit, Which is Better? S. Ma et al. 10.1007/s12583-021-1407-1
120. Improving predictive power of physically based rainfall-induced shallow landslide models: a probabilistic approach S. Raia et al. 10.5194/gmd-7-495-2014
121. A strategy for GIS-based 3-D slope stability modelling over large areas M. Mergili et al. 10.5194/gmd-7-2969-2014
122. Adopting the margin of stability for space–time landslide prediction – A data-driven approach for generating spatial dynamic thresholds S. Steger et al. 10.1016/j.gsf.2024.101822
123. Spatially distributed three-dimensional slope stability modelling in a raster GIS M. Mergili et al. 10.1016/j.geomorph.2013.10.008
124. Lineament mapping and its application in landslide hazard assessment: a review M. Ramli et al. 10.1007/s10064-009-0255-5
125. Accounting for covariate distributions in slope-unit-based landslide susceptibility models. A case study in the alpine environment G. Amato et al. 10.1016/j.enggeo.2019.105237
126. From scenario-based seismic hazard to scenario-based landslide hazard: rewinding to the past via statistical simulations L. Luo et al. 10.1007/s00477-020-01959-x
127. Landslide consequence analysis: a region-scale indicator-based methodology A. Puissant et al. 10.1007/s10346-013-0429-x
128. Landslide Hazard Assessment for National Rail Network K. Freeborough et al. 10.1016/j.proeng.2016.06.104
129. Optimal landslide susceptibility zonation based on multiple forecasts M. Rossi et al. 10.1016/j.geomorph.2009.06.020
130. Bayesian framework for mapping and classifying shallow landslides exploiting remote sensing and topographic data A. Mondini et al. 10.1016/j.geomorph.2013.06.015
131. Landslide susceptibility assessment using different slope units based on the evidential belief function model Z. Chen et al. 10.1080/10106049.2019.1582716
132. Landslides in Tijuana, Mexico: hazard assessment in an urban neighborhood A. Oliva González et al. 10.14483/22487638.17882
133. A review on spatial, temporal and magnitude prediction of landslide hazard A. Tyagi et al. 10.1016/j.jaesx.2022.100099
134. Exploring the potential relationship between the occurrence of debris flow and landslides Z. Liang et al. 10.5194/nhess-21-1247-2021
135. Physically-based modelling of granular flows with Open Source GIS M. Mergili et al. 10.5194/nhess-12-187-2012
136. Landslide inventory maps: New tools for an old problem F. Guzzetti et al. 10.1016/j.earscirev.2012.02.001
137. Landslide susceptibility assessment: what are the effects of mapping unit and mapping method? A. Erener & H. Düzgün 10.1007/s12665-011-1297-0
138. Hazard and population vulnerability analysis: a step towards landslide risk assessment F. Murillo-García et al. 10.1007/s11629-016-4179-9
139. Evaluation of Unsupervised Change Detection Methods Applied to Landslide Inventory Mapping Using ASTER Imagery R. Ramos-Bernal et al. 10.3390/rs10121987
140. 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. 10.5194/nhess-21-1531-2021
141. A national assessment of landslide hazard from Outside Party Slopes to the rail network of Great Britain K. Freeborough et al. 10.1144/qjegh2018-029
142. Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning R. Fell et al. 10.1016/j.enggeo.2008.03.014
143. 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. 10.5194/nhess-24-2615-2024
144. 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. 10.3390/su15031908
145. Causes of landslide recurrence in a loess platform with respect to hydrological processes L. Xu et al. 10.1007/s11069-012-0326-y
146. Physical Vulnerability and Landslide Risk Assessment in Tegucigalpa City, Honduras G. Suárez & M. Domínguez-Cuesta 10.3390/app14199114
147. Geostatistical Modeling to Capture Seismic‐Shaking Patterns From Earthquake‐Induced Landslides L. Lombardo et al. 10.1029/2019JF005056
148. Landslide susceptibility mapping along Rishikesh–Badrinath national highway (Uttarakhand) by applying multi-criteria decision-making (MCDM) approach M. Ramiz et al. 10.1007/s12665-023-11268-5
149. 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. 10.1109/TGRS.2015.2484325
150. Application of remote sensing data and GIS for landslide risk assessment as an environmental threat to Izmir city (west Turkey) A. Akgun et al. 10.1007/s10661-011-2352-8
151. Landslide Susceptibility Assessment Using Conditional Analysis and Rare Events Logistics Regression: A Case-Study in the Antrodoco Area (Rieti, Italy) V. Chiessi et al. 10.4236/gep.2016.412001
152. Topographic predictors of susceptibility to alluvial fan flooding, Southern Apennines N. Santangelo et al. 10.1002/esp.3197
153. Economic Risk Assessment of Future Debris Flows by Machine Learning Method C. Qiu et al. 10.1007/s13753-024-00545-x
154. Application of environmental variables in statistically-based landslide susceptibility mapping: A review X. Zhao et al. 10.3389/feart.2023.1147427
155. Shaping Sustainable Urban Environments by Addressing the Hydro-Meteorological Factors in Landslide Occurrence: Ciuperca Hill (Oradea, Romania) C. Morar et al. 10.3390/ijerph18095022
156. A Comparative Study of Landslide Susceptibility Mapping Using SVM and PSO-SVM Models Based on Grid and Slope Units S. Zhao et al. 10.1155/2021/8854606
157. Improved Shallow Landslide Susceptibility Prediction Based on Statistics and Ensemble Learning Z. Liang et al. 10.3390/su14106110
158. Landslide vulnerability and risk assessment for multi-hazard scenarios using airborne laser scanning data (LiDAR) W. Abdulwahid & B. Pradhan 10.1007/s10346-016-0744-0
159. Landslide databases for climate change detection and attribution J. Wood et al. 10.1016/j.geomorph.2020.107061
160. Space-time landslide predictive modelling L. Lombardo et al. 10.1016/j.earscirev.2020.103318
161. 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. 10.3799/dqkx.2022.419
162. National and regional-scale landslide indicators and indexes: Applications in Italy M. Donnini et al. 10.1515/geo-2022-0375
163. 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. 10.1080/19475705.2017.1401560
164. Tree-ring reconstruction of reactivation phases of the Schimbrig landslide (Swiss Alps) J. Lopez-Saez et al. 10.4000/geomorphologie.11825
165. Landslides hazard, vulnerability and risk mapping in the data-poor region of northern Pakistan Y. Ullah et al. 10.1007/s12665-024-11858-x
166. Analysis of a landslide multi-date inventory in a complex mountain landscape: the Ubaye valley case study R. Schlögel et al. 10.5194/nhess-15-2369-2015
167. Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario S. Pereira et al. 10.1080/19475705.2016.1250116
168. Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey H. Nefeslioglu et al. 10.1155/2010/901095
169. Landslide size matters: A new data-driven, spatial prototype L. Lombardo et al. 10.1016/j.enggeo.2021.106288
170. Residual mechanisms and kinematics of the relict Lemeglio coastal landslide (Liguria, northwestern Italy) A. Cevasco et al. 10.1016/j.geomorph.2018.08.010
171. 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. 10.3390/rs13224515
172. GIS-based landslide susceptibility mapping method and Shannon entropy model: a case study on Sakaleshapur Taluk, Western Ghats, Karnataka, India A. Rahaman et al. 10.1007/s12517-021-08422-3
173. Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives M. Scaioni et al. 10.3390/rs6109600
174. GIS-based assessment of risk due to salt mining activities at Tuzla (Bosnia and Herzegovina) F. Mancini et al. 10.1016/j.enggeo.2009.06.018
175. A revised landslide inventory of the Campania region (Italy) F. Fusco et al. 10.1038/s41597-023-02155-6
176. Analysis of landslide inventories for accurate prediction of debris-flow source areas J. Blahut et al. 10.1016/j.geomorph.2010.02.017
177. Temporal correlations and clustering of landslides A. Witt et al. 10.1002/esp.1998
178. GIS-based logistic regression for rainfall-induced landslide susceptibility mapping under different grid sizes in Yueqing, Southeastern China Y. Zhao et al. 10.1016/j.enggeo.2019.105147
179. The Influence of Land Use Change on Landslide Susceptibility Zonation: The Briga Catchment Test Site (Messina, Italy) P. Reichenbach et al. 10.1007/s00267-014-0357-0
180. Landslide Vulnerability Criteria: A Case Study from Umbria, Central Italy M. Galli & F. Guzzetti 10.1007/s00267-006-0325-4
181. High-Resolution Lidar-Derived DEM for Landslide Susceptibility Assessment Using AHP and Fuzzy Logic in Serdang, Malaysia J. Okoli et al. 10.3390/geosciences13020034
182. Estimate earth fissure hazard based on machine learning in the Qa’ Jahran Basin, Yemen Y. Al-Masnay et al. 10.1038/s41598-022-26526-y
183. Numerical and analytical models of cosmogenic radionuclide dynamics in landslide‐dominated drainage basins B. Yanites et al. 10.1029/2008JF001088
184. Assessment of data availability for the development of landslide fatality curves T. Grahn & H. Jaldell 10.1007/s10346-016-0775-6