153 citations as recorded by crossref.

1. Survey of spatial and temporal landslide prediction methods and techniques
2. Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis Z. Yang et al.
3. Field-based landslide susceptibility assessment in a data-scarce environment: the populated areas of the Rwenzori Mountains L. Jacobs et al.
4. Landform classification: a high-performing mapping unit partitioning tool for landslide susceptibility assessment—a test in the Imera River basin (northern Sicily, Italy) C. Martinello et al.
5. Logistic regression applied to natural hazards: rare event logistic regression with replications M. Guns & V. Vanacker
6. A Tool for Classification and Regression Using Random Forest Methodology: Applications to Landslide Susceptibility Mapping and Soil Thickness Modeling D. Lagomarsino et al.
7. Geohazard detection and analysis along an electricity transmission line in Tibet, China L. Hao et al.
8. Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines H. Hong et al.
9. Mapping Susceptibility With Open-Source Tools: A New Plugin for QGIS G. Titti et al.
10. Optimal landslide susceptibility zonation based on multiple forecasts M. Rossi et al.
11. Coping with landslide risk through preventive resettlement. Designing optimal strategies through choice experiments for the Mount Elgon region, Uganda P. Vlaeminck et al.
12. Climate-physiographically differentiated Pan-European landslide susceptibility assessment using spatial multi-criteria evaluation and transnational landslide information A. Günther et al.
13. Coğrafi Bilgi Sistemleri ile Suşehri (Sivas) Heyelan Duyarlılık Analizi G. DEMİR
14. Presenting logistic regression-based landslide susceptibility results L. Lombardo & P. Mai
15. A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam) D. Bui et al.
16. Integrating Data Modality and Statistical Learning Methods for Earthquake-Induced Landslide Susceptibility Mapping Z. Miao et al.
17. Integrating spatial, temporal, and size probabilities for the annual landslide hazard maps in the Shihmen watershed, Taiwan C. Wu & S. Chen
18. Effect of scale and mapping unit on landslide susceptibility mapping of Mandakini River Basin, Uttarakhand, India S. Gupta & D. Shukla
19. Landslide–Anthropogenic Interactions in Urban Areas: A Multidisciplinary Case Study from Taounate, Morocco R. Sahrane et al.
20. Evaluation of landslide susceptibility mapping techniques using lidar-derived conditioning factors (Oregon case study) R. Mahalingam et al.
21. Evaluating the uncertainty in landslide susceptibility prediction: effect of spatial data variability and evaluation unit choices S. Qin et al.
22. An integrative approach for regional landslide susceptibility assessment using weight of evidence method: a case study of Yom River Basin, Phrae Province, Northern Thailand S. Teerarungsigul et al.
23. Combining spatial data in landslide reactivation susceptibility mapping: A likelihood ratio-based approach in W Belgium O. Dewitte et al.
24. Susceptibilité aux glissements de terrain dans la ville d'Al Hoceima et sa périphérie : application de la méthode de la théorie de l’évidence T. Byou et al.
25. Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers A. Jaafari et al.
26. Landslide susceptibility mapping of Gdynia using geographic information system-based statistical models A. Małka
27. Combination of statistical and conceptual approaches for debris-flow susceptibility modelling at a regional scale, British Columbia, Canada T. Bornaetxea et al.
28. A comparative analysis of statistical landslide susceptibility mapping in the southeast region of Minas Gerais state, Brazil C. Barella et al.
29. Counteracting flawed landslide data in statistically based landslide susceptibility modelling for very large areas: a national-scale assessment for Austria P. Lima et al.
30. Recommendations for the quantitative analysis of landslide risk J. Corominas et al.
31. Building a landslide hazard indicator with machine learning and land surface models T. Stanley et al.
32. Regional Landslide Susceptibility Assessment and Model Adaptability Research Z. Zhang & J. Sun
33. Different landslide sampling strategies in a grid-based bi-variate statistical susceptibility model H. Hussin et al.
34. Spatial modeling of multi-hazard threat to cultural heritage sites L. Lombardo et al.
35. A review on spatial, temporal and magnitude prediction of landslide hazard A. Tyagi et al.
36. The Open Landslide Project (OLP), a New Inventory of Shallow Landslides for Susceptibility Models: The Autumn 2019 Extreme Rainfall Event in the Langhe-Monferrato Region (Northwestern Italy) M. Licata et al.
37. A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analyses B. Pradhan et al.
38. Indices of sediment connectivity: opportunities, challenges and limitations T. Heckmann et al.
39. An offline–online Web-GIS Android application for fast data acquisition of landslide hazard and risk R. Olyazadeh et al.
40. Identifying the essential influencing factors of landslide susceptibility models based on hybrid-optimized machine learning with different grid resolutions: a case of Sino-Pakistani Karakorum Highway J. Wu et al.
41. Constructing a complete landslide inventory dataset for the 2018 monsoon disaster in Kerala, India, for land use change analysis L. Hao et al.
42. Exporting a Google Earth™ aided earth-flow susceptibility model: a test in central Sicily D. Costanzo et al.
43. 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
44. Comparison and combination of different models for optimal landslide susceptibility zonation G. Chen et al.
45. Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy) A. Trigila et al.
46. Multifactor empirical mapping of the protective function of forests against landslide occurrence: statistical approaches and a case study D. Cimini et al.
47. Susceptibility Assessment for Landslide Initiated along Power Transmission Lines S. Liu et al.
48. Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: A case of the Belice River basin (western Sicily, Italy) C. Conoscenti et al.
49. Mapping Susceptibility to Debris Flows Triggered by Tropical Storms: A Case Study of the San Vicente Volcano Area (El Salvador, CA) C. Mercurio et al.
50. Development of a region-partitioning method for debris flow susceptibility mapping S. Qiao et al.
51. Landslide Susceptibility Assessment Using Conditional Analysis and Rare Events Logistics Regression: A Case-Study in the Antrodoco Area (Rieti, Italy) V. Chiessi et al.
52. Landslide susceptibility mapping using Bayesian approach in the Sultan Mountains (Akşehir, Turkey) A. Ozdemir
53. Assessing the spatial variability of coefficients of landslide predictors in different regions of Romania using logistic regression M. Mărgărint et al.
54. Regional susceptibility assessments with heterogeneous landslide information: Slope unit- vs. pixel-based approach L. Jacobs et al.
55. Integration of Spatial Probability and Size in Slope-Unit-Based Landslide Susceptibility Assessment: A Case Study L. Li & H. Lan
56. Impacts of post‐glacial rebound on landslide spatial distribution at a regional scale in northern Iceland (Skagafjörður) E. Cossart et al.
57. Landslide susceptibility mapping by comparing the WLC and WofE multi-criteria methods in the West Crete Island, Greece M. Kouli et al.
58. Pixel-Based Spatio-Statistical Analysis of Landslide Probability in Humid and Seismically Active Areas of Himalaya and Hindukush S. Khan et al.
59. Integrating the frequency ratio and index of entropy with an extreme learning machine to map post-earthquake landslide susceptibility: a case study in Xingwen County, China H. Zheng et al.
60. Forward logistic regression for earth-flow landslide susceptibility assessment in the Platani river basin (southern Sicily, Italy) D. Costanzo et al.
61. Susceptibility modelling of hummocky terrain distribution using the information value method (Deception Island, Antarctic Peninsula) R. Melo et al.
62. A new approach to temporal modelling for landslide hazard assessment using an extreme rainfall induced-landslide index N. Nedumpallile Vasu et al.
63. Deterministic slope failure hazard assessment in a model catchment and its replication in neighbourhood terrain K. Acharya et al.
64. Consideration of optimal pixel resolution in deriving landslide susceptibility zoning within the Sydney Basin, New South Wales, Australia D. Palamakumbure et al.
65. Eigenvector Spatial Filtering-Based Logistic Regression for Landslide Susceptibility Assessment H. Li et al.
66. A hybrid feature selection algorithm integrating an extreme learning machine for landslide susceptibility modeling of Mt. Woomyeon, South Korea N. Vasu & S. Lee
67. Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the 2009 storm event in Messina (Sicily, southern Italy) L. Lombardo et al.
68. Landslide Susceptibility Mapping in Terms of the Slope-Unit or Raster-Unit, Which is Better? S. Ma et al.
69. From spatio-temporal landslide susceptibility to landslide risk forecast T. Wang et al.
70. Comparative analysis of slope and grid units for co-seismic landslide susceptibility mapping using machine learning methods T. Bhattarai & N. Bhandary
71. Mapping landslide susceptibility using data-driven methods J. Zêzere et al.
72. Combining data-driven models to assess susceptibility of shallow slides failure and run-out R. Melo et al.
73. A data-driven approach for landslide susceptibility mapping: a case study of Shennongjia Forestry District, China W. Chen et al.
74. The GEMMA (Geo-EnvironMental multivariate analysis) toolbox: A user-friendly software for multivariate analysis F. Pilade et al.
75. Accounting for covariate distributions in slope-unit-based landslide susceptibility models. A case study in the alpine environment G. Amato et al.
76. Prediction of total landslide volume in watershed scale under rainfall events using a probability model C. Wu & P. Chou
77. Selecting and weighting spatial predictors for empirical modeling of landslide susceptibility in the Darjeeling Himalayas (India) S. Ghosh et al.
78. New method for landslide susceptibility mapping supported by spatial logistic regression and GeoDetector: A case study of Duwen Highway Basin, Sichuan Province, China J. Yang et al.
79. Investigating landslide susceptibility procedures in Greece K. Kavoura & N. Sabatakakis
80. Landslide hazard identification using Spatial Multi-Criteria Evaluation (SMCE) in Poncokusumo Subdistrict, Malang Regency L. Irawan et al.
81. Which data for quantitative landslide susceptibility mapping at operational scale? Case study of the Pays d'Auge plateau hillslopes (Normandy, France) M. Fressard et al.
82. Optimal slope units partitioning in landslide susceptibility mapping C. Martinello et al.
83. Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal) B. Epifânio et al.
84. Quantification of the effect of precipitation as a triggering factor for landslides on the surroundings of Medellín – Colombia E. Muñoz et al.
85. Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues F. Catani et al.
86. Modeling debris flow initiation and run-out in recently burned areas using data-driven methods R. Melo & J. Zêzere
87. Integration of Remotely Sensed Soil Sealing Data in Landslide Susceptibility Mapping T. Luti et al.
88. A GIS-based approach for gully erosion susceptibility modelling: a test in Sicily, Italy C. Conoscenti et al.
89. Optimizing landslide susceptibility zonation: Effects of DEM spatial resolution and slope unit delineation on logistic regression models R. Schlögel et al.
90. Quantifying the influence of individual trees on slope stability at landscape scale R. Spiekermann et al.
91. A test of transferability for landslides susceptibility models under extreme climatic events: application to the Messina 2009 disaster L. Lombardo et al.
92. A data-based landslide susceptibility map of Africa J. Broeckx et al.
93. Slope units-based flow susceptibility model: using validation tests to select controlling factors E. Rotigliano et al.
94. Geophysical investigation of Obot Ekpo Landslide site, Cross River State, Nigeria A. Akpan et al.
95. 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.
96. Heavy Rainfall Events and Mass Movements in the Funchal Area (Madeira, Portugal): Spatial Analysis and Susceptibility Assessment S. Lopes et al.
97. GIS-based comparative study of information value and frequency ratio method for landslide hazard zonation in a part of mid-Himalaya in Himachal Pradesh A. Kumar et al.
98. The role of the diagnostic areas in the assessment of landslide susceptibility models: a test in the sicilian chain E. Rotigliano et al.
99. Factors selection in landslide susceptibility modelling on large scale following the gis matrix method: application to the river Beiro basin (Spain) D. Costanzo et al.
100. Landslide hazard assessment: recent trends and techniques S. Pardeshi et al.
101. The influence of DEM spatial resolution on landslide susceptibility mapping in the Baxie River basin, NW China Z. Chen et al.
102. Kayma tipi heyelanların farklı duyarlılık modellerinde kombinasyonu: Sakarya Havzası Yukarı Çığırı örneği M. CİHANGİR
103. Effects of changing spatial scale on debris-flow hazard assessment: A case study in the Dadu River basin, China L. Zhang et al.
104. Landslide susceptibility modelling using the quantitative random forest method along the northern portion of the Yukon Alaska Highway Corridor, Canada P. Behnia & A. Blais-Stevens
105. Framework for susceptibility analysis of layered rock slopes considering the dimensions of the mapping units and geological data resolution at various map scales C. Lin et al.
106. Landslide Susceptibility Mapping Using Statistical Methods along the Asian Highway, Bhutan S. Pasang & P. Kubíček
107. WITHDRAWN: Coupling of analytical hierarchy process and frequency ratio based spatial prediction of soil erosion susceptibility in Keleghai river basin, India N. Sar et al.
108. GIS-Based Landslide Susceptibility Mapping for Land Use Planning and Risk Assessment A. Roccati et al.
109. Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study Á. Felicísimo et al.
110. The Yinshan Mountains Record over 10,000 Landslides J. Sun et al.
111. Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives M. Scaioni et al.
112. Application of different watershed units to debris flow susceptibility mapping: A case study of Northeast China J. Lv et al.
113. Modeling the Probability of Surface Artificialization in Zêzere Watershed (Portugal) Using Environmental Data B. Meneses et al.
114. Preparing first-time slope failures hazard maps: from pixel-based to slope unit-based G. Domènech et al.
115. Evaluation of neural network models for landslide susceptibility assessment Y. Yi et al.
116. Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan D. Golovko et al.
117. Comparison of two landslide susceptibility assessments in the Champagne–Ardenne region (France) M. Den Eeckhaut et al.
118. Magnitude–frequency characteristics and preparatory factors for spatial debris-slide distribution in the northern Faroe Islands M. Dahl et al.
119. Landslide Susceptibility Mapping by Comparing GIS-Based Bivariate Methods: A Focus on the Geomorphological Implication of the Statistical Results L. Coco et al.
120. 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.
121. Statistical landslide susceptibility assessment in a dynamic environment: A case study for Lanzhou City, Gansu Province, NW China J. Torizin et al.
122. Characterization and quantification of path dependency in landslide susceptibility J. Samia et al.
123. A comparison of five methods in landslide susceptibility assessment: a case study from the 330-kV transmission line in Gansu Region, China Y. Ge et al.
124. Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance A. Merghadi et al.
125. Rapid landslide risk zoning toward multi-slope units of the Neikuihui tribe for preliminary disaster management C. Chung & Z. Li
126. Landslide databases for climate change detection and attribution J. Wood et al.
127. A comparison of slope units and grid cells as mapping units for landslide susceptibility assessment Q. Ba et al.
128. Space-time landslide predictive modelling L. Lombardo et al.
129. Landslide Susceptibility Assessment of Mauritius Island (Indian Ocean) V. Marsala et al.
130. A review of statistically-based landslide susceptibility models P. Reichenbach et al.
131. Influence of management of variables, sampling zones and land units on LR analysis for landslide spatial prevision R. Greco & M. Sorriso-Valvo
132. Probabilistic landslide hazard and indicator-based risk assessment in a data-scarce Indian Himalayan terrain S. Das et al.
133. Derivation of long-term spatiotemporal landslide activity—A multi-sensor time series approach R. Behling et al.
134. A Comprehensive Survey on Rare Event Prediction C. Shyalika et al.
135. A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning A. Edrich et al.
136. Predicting storm-triggered debris flow events: application to the 2009 Ionian Peloritan disaster (Sicily, Italy) M. Cama et al.
137. Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model D. Camilo et al.
138. Exploring relationships between grid cell size and accuracy for debris-flow susceptibility models: a test in the Giampilieri catchment (Sicily, Italy) M. Cama et al.
139. Slope Unit Maker (SUMak): an efficient and parameter-free algorithm for delineating slope units to improve landslide modeling J. Woodard et al.
140. Sample size matters: investigating the effect of sample size on a logistic regression susceptibility model for debris flows T. Heckmann et al.
141. Predicting the susceptibility to gully initiation in data-poor regions O. Dewitte et al.
142. Landslide susceptibility assessment in the rocky coast subsystem of Essaouira, Morocco A. Khouz et al.
143. Statistical modelling of Europe-wide landslide susceptibility using limited landslide inventory data M. Van Den Eeckhaut et al.
144. A Landslide Probability Model Based on a Long-Term Landslide Inventory and Rainfall Factors C. Wu & Y. Yeh
145. Benchmarking data handling strategies for landslide susceptibility modeling using random forest workflows G. Samodra et al.
146. Catena matters: Enhancing landslide prediction with soil profile characteristics and explainable AI A. Achu et al.
147. A One-Class-Classifier-Based Negative Data Generation Method for Rapid Earthquake-Induced Landslide Susceptibility Mapping S. Chen et al.
148. A dynamic landslide hazard assessment system for Central America and Hispaniola D. Kirschbaum et al.
149. Automatic landslide length and width estimation based on the geometric processing of the bounding box and the geomorphometric analysis of DEMs M. Niculiţǎ
150. Mapping debris flow susceptibility based on watershed unit and grid cell unit: a comparison study S. Qin et al.
151. Prediction of landslide susceptibility in Wenchuan County based on pixel-level samples X. Wang et al.
152. Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier B. Pham et al.
153. Reservoir Basin-Scale Landslide Susceptibility Assessment by Machine Learning Techniques: A Case Study of San Pietro Dam, Southern Italy E. Chikalamo et al.