126 citations as recorded by crossref.

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2. Effect of scale and mapping unit on landslide susceptibility mapping of Mandakini River Basin, Uttarakhand, India S. Gupta & D. Shukla 10.1007/s12665-022-10487-6
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16. Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis Z. Yang et al. 10.3390/rs14163879
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18. Detecting and Characterizing Active Thrust Fault and Deep-Seated Landslides in Dense Forest Areas of Southern Taiwan Using Airborne LiDAR DEM R. Chen et al. 10.3390/rs71115443
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22. Integration of Spatial Probability and Size in Slope-Unit-Based Landslide Susceptibility Assessment: A Case Study L. Li & H. Lan 10.3390/ijerph17218055
23. Active Learning in the Spatial Domain for Remote Sensing Image Classification A. Stumpf et al. 10.1109/TGRS.2013.2262052
24. Correlation does not imply geomorphic causation in data-driven landslide susceptibility modelling – Benefits of exploring landslide data collection effects S. Steger et al. 10.1016/j.scitotenv.2021.145935
25. Comparing landslide inventory maps M. Galli et al. 10.1016/j.geomorph.2006.09.023
26. A global landslide catalog for hazard applications: method, results, and limitations D. Kirschbaum et al. 10.1007/s11069-009-9401-4
27. Engineering geology maps: landslides and geographical information systems J. Chacón et al. 10.1007/s10064-006-0064-z
28. Optimal landslide susceptibility zonation based on multiple forecasts M. Rossi et al. 10.1016/j.geomorph.2009.06.020
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. 10.1007/s10346-021-01693-7
30. A review on spatial, temporal and magnitude prediction of landslide hazard A. Tyagi et al. 10.1016/j.jaesx.2022.100099
31. Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility P. Lima et al. 10.1007/s11629-021-7254-9
32. An epidemiological approach to determining the risk of road damage due to landslides M. Bíl et al. 10.1007/s11069-014-1141-4
33. Landslide susceptibility assessment by bivariate methods at large scales: Application to a complex mountainous environment Y. Thiery et al. 10.1016/j.geomorph.2007.02.020
34. Developing an algorithm for automated geometric analysis and classification of landslides incorporating LiDAR-derived DEM S. Pirasteh & J. Li 10.1007/s12665-018-7583-3
35. Regional susceptibility assessments with heterogeneous landslide information: Slope unit- vs. pixel-based approach L. Jacobs et al. 10.1016/j.geomorph.2020.107084
36. Investigating Spatial Patterns of Persistent Scatterer Interferometry Point Targets and Landslide Occurrences in the Arno River Basin P. Lu et al. 10.3390/rs6086817
37. The influence of the inventory on the determination of the rainfall-induced shallow landslides susceptibility using generalized additive models M. Bordoni et al. 10.1016/j.catena.2020.104630
38. Assessment and validation of GIS-based landslide susceptibility maps: a case study from Feltrino stream basin (Central Italy) M. Sciarra et al. 10.1007/s10064-016-0954-7
39. Urban and Rural Landslide Hazard and Exposure Mapping Using Landsat and Corona Satellite Imagery for Tehran and the Alborz Mountains, Iran A. Fekete 10.3934/geosci.2017.1.37
40. Landslide hazard assessment of the 2008 Wenchuan earthquake: a case study in Beichuan area C. Tang et al. 10.1139/T10-059
41. Generation of a landslide risk index map for Cuba using spatial multi-criteria evaluation E. Abella & C. Van Westen 10.1007/s10346-007-0087-y
42. 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. 10.3390/rs13183623
43. Characteristics of landslides and assessment of deep-seated landslide susceptibility in Northern Turkey T. Duman & T. Çan 10.1007/s42990-023-00105-3
44. Artificial neural networks and cluster analysis in landslide susceptibility zonation C. Melchiorre et al. 10.1016/j.geomorph.2006.10.035
45. Recognition of large scale deep-seated landslides in forest areas of Taiwan using high resolution topography C. Lin et al. 10.1016/j.jseaes.2012.10.022
46. Mapping landslide susceptibility using data-driven methods J. Zêzere et al. 10.1016/j.scitotenv.2017.02.188
47. Using Artificial Neural Networks and Spectral Indices to Predict Water Availability in New Capital (IKN) and Its’ Surroundings N. Arif & L. Toersilowati 10.1007/s12524-024-01889-z
48. The influence of forest cover on landslide occurrence explored with spatio-temporal information E. Schmaltz et al. 10.1016/j.geomorph.2017.04.024
49. Updating Inventory, Deformation, and Development Characteristics of Landslides in Hunza Valley, NW Karakoram, Pakistan by SBAS-InSAR X. Su et al. 10.3390/rs14194907
50. Exploring Influence of Sampling Strategies on Event-Based Landslide Susceptibility Modeling J. Lai et al. 10.3390/ijgi8090397
51. Using Landslide Statistical Index Technique for Landslide Susceptibility Mapping: Case Study: Ban Khoang Commune, Lao Cai Province, Vietnam L. Thanh et al. 10.3390/w14182814
52. Landslide Susceptibility and Soil Loss Estimates for Drift Creek Watershed, Lincoln County, Oregon D. Korte & A. Shakoor 10.2113/EEG-2251
53. The (f)utility to account for pre-failure topography in data-driven landslide susceptibility modelling S. Steger et al. 10.1016/j.geomorph.2020.107041
54. Impact and a Novel Representation of Spatial Data Uncertainty in Debris Flow Susceptibility Analysis L. Kurilla & G. Fubelli 10.3390/app12136697
55. Application of frequency ratio (FR) model in spatial prediction of landslides in the Balason river basin, Darjeeling Himalaya S. Mondal & S. Mandal 10.1007/s41324-017-0101-y
56. 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
57. The effectiveness of hillshade maps and expert knowledge in mapping old deep-seated landslides M. Van Den Eeckhaut et al. 10.1016/j.geomorph.2004.11.001
58. Producing landslide-susceptibility maps for regional planning in data-scarce regions J. De Graff et al. 10.1007/s11069-012-0267-5
59. Deep convolutional neural network–based pixel-wise landslide inventory mapping Z. Su et al. 10.1007/s10346-020-01557-6
60. Quality assessment of the Italian Landslide Inventory using GIS processing A. Trigila et al. 10.1007/s10346-010-0213-0
61. Comparing Manual and Semi-Automated Landslide Mapping Based on Optical Satellite Images from Different Sensors D. Hölbling et al. 10.3390/geosciences7020037
62. Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues F. Catani et al. 10.5194/nhess-13-2815-2013
63. Improving the reliability of landslide susceptibility mapping through spatial uncertainty analysis: a case study of Al Hoceima, Northern Morocco H. Rahali 10.1080/10106049.2017.1357767
64. Semiautomatic inventory and geomorphological characterization of mass movements using high-resolution images and open-source software in the Ribeira de Iguape Valley, Brazil J. Bonini et al. 10.1016/j.jsames.2022.104029
65. 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. 10.1007/s40808-022-01605-1
66. Landslide susceptibility: a statistically-based assessment on a depositional pyroclastic ramp F. Murillo-García et al. 10.1007/s11629-018-5225-6
67. Detecting fingerprints of landslide drivers: A MaxEnt model M. Convertino et al. 10.1002/jgrf.20099
68. Guidelines for landslide susceptibility, hazard and risk zoning for land use planning R. Fell et al. 10.1016/j.enggeo.2008.03.022
69. Landslide Susceptibility Zone using Frequency Ratio Method in Karangkobar Catchment, Merawu Watershed, Banjarnegara District, Central Java Province V. Radjah et al. 10.1088/1755-1315/451/1/012087
70. An integrated framework to identify and analyze karst sinkholes V. Zumpano et al. 10.1016/j.geomorph.2019.02.013
71. Regional landslide susceptibility zoning with considering the aggregation of landslide points and the weights of factors X. Wang et al. 10.1007/s10346-013-0392-6
72. 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. 10.5194/nhess-14-569-2014
73. A Novel Historical Landslide Detection Approach Based on LiDAR and Lightweight Attention U-Net C. Fang et al. 10.3390/rs14174357
74. Estimating the quality of landslide susceptibility models F. Guzzetti et al. 10.1016/j.geomorph.2006.04.007
75. Metodología para la zonificación de la susceptibilidad por movimientos en masa en proyectos lineales. Estudio de caso en elacueducto del municipio de Fredonia,Antioquia J. Mendoza Ramirez & E. Aristizábal Giraldo 10.17230/ingciencia.13.26.7
76. Semiautomatic Inventory and Geomorphological Characterization of Mass Movements Using High-Resolution Images and Open Source Software in the Ribeira De Iguape Valley, Brazil J. Bonini et al. 10.2139/ssrn.4159904
77. LAND-SE: a software for statistically based landslide susceptibility zonation, version 1.0 M. Rossi & P. Reichenbach 10.5194/gmd-9-3533-2016
78. Effects of forest cover, topography, and sampling extent on the measured density of shallow, translational landslides D. Miller & K. Burnett 10.1029/2005WR004807
79. A landslide database for Nicaragua: a tool for landslide-hazard management G. Devoli et al. 10.1007/s10346-006-0074-8
80. Landslide Representation Strategies in Susceptibility Studies using Weights-of-Evidence Modeling Technique S. Poli & S. Sterlacchini 10.1007/s11053-007-9043-8
81. 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. 10.1016/j.geomorph.2014.09.020
82. Effectiveness of visually analyzing LiDAR DTM derivatives for earth and debris slide inventory mapping for statistical susceptibility modeling H. Petschko et al. 10.1007/s10346-015-0622-1
83. Validation of Spatial Prediction Models for Landslide Susceptibility Mapping by Considering Structural Similarity X. Deng et al. 10.3390/ijgi6040103
84. Spatio-temporal evolution of mass wasting after the 2008 Mw 7.9 Wenchuan earthquake revealed by a detailed multi-temporal inventory X. Fan et al. 10.1007/s10346-018-1054-5
85. Historical geospatial database for landslide analysis: the Catalogue of Landslide OCcurrences in the Emilia-Romagna Region (CLOCkER) D. Piacentini et al. 10.1007/s10346-018-0962-8
86. Automated determination of landslide locations after large trigger events: advantages and disadvantages compared to manual mapping D. Milledge et al. 10.5194/nhess-22-481-2022
87. 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. 10.1007/s10346-012-0320-1
88. Landslide susceptibility assessment on a large scale in the Podsljeme area, City of Zagreb (Croatia) S. Bernat Gazibara et al. 10.1080/17445647.2022.2163197
89. Scaling and multivariate analysis of medium to large landslide events: Haida Gwaii, British Columbia L. Jagielko et al. 10.1007/s11069-011-0012-5
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112. Automatic landslide length and width estimation based on the geometric processing of the bounding box and the geomorphometric analysis of DEMs M. Niculiţǎ 10.5194/nhess-16-2021-2016
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118. 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
119. Stability Analysis of a Landslide: A View with Implications of Microstructural Soil Characters F. Sunbul et al. 10.1007/s40098-020-00467-7
120. Geomorphologic landslide inventory by air photo interpretation of the High Agri Valley (Southern Italy) F. Bucci et al. 10.1080/17445647.2021.1943552
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124. Modelling multi-hazard threats to cultural heritage sites and environmental sustainability: The present and future scenarios A. Saha et al. 10.1016/j.jclepro.2021.128713
125. Multi-hazard susceptibility mapping of cryospheric hazards in a high-Arctic environment: Svalbard Archipelago I. Nicu et al. 10.5194/essd-15-447-2023
126. Multi-method characterisation of an active landslide: Case study in the Pays d'Auge plateau (Normandy, France) M. Fressard et al. 10.1016/j.geomorph.2016.07.001