89 citations as recorded by crossref.

1. Multi-Resolution Landslide Susceptibility Analysis Using a DEM and Random Forest U. Paudel et al. 10.4236/ijg.2016.75056
2. Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution A. Shirzadi et al. 10.1016/j.catena.2019.03.017
3. Assessment of terrain stability zones for human habitation in Himalayan Upper Pindar River Basin, Uttarakhand using AHP and GIS S. Nandy 10.1007/s12665-021-09634-2
4. Coupled prediction of flood response and debris flow initiation during warm- and cold-season events in the Southern Appalachians, USA J. Tao & A. Barros 10.5194/hess-18-367-2014
5. High-resolution DEMs in the study of rainfall- and earthquake-induced landslides: Use of a variable window size method in digital terrain analysis J. Iwahashi et al. 10.1016/j.geomorph.2012.02.002
6. A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths P. Passalacqua et al. 10.1029/2009JF001254
7. Morphological Similarity of Channels: From Linear Erosional Features (Rill, Gully) to Alpine Rivers G. Sofia et al. 10.1002/ldr.2703
8. The influence of DEM spatial resolution on landslide susceptibility mapping in the Baxie River basin, NW China Z. Chen et al. 10.1007/s11069-020-03899-9
9. Multi-temporal analysis to support the management of torrent control structures S. Cucchiaro et al. 10.1016/j.catena.2023.107599
10. LiDAR-derived slopes for headwater channel network analysis A. Vianello et al. 10.1016/j.catena.2008.09.012
11. Avaliação da sensibilidade dos parâmetros do modelo de simulação de deslizamentos SINMAP K. Bueno et al. 10.4000/confins.33317
12. Spatio-Temporal Prediction of Three-Dimensional Stability of Highway Shallow Landslide in Southeast Tibet Based on TRIGRS and Scoops3D Coupling Model J. Mao et al. 10.3390/w16091207
13. Influence of subsurface flow by Lidar DEMs and physical soil strength considering a simple hydrologic concept for shallow landslide instability mapping S. Kim et al. 10.1016/j.catena.2019.104137
14. Pre-processing algorithms and landslide modelling on remotely sensed DEMs M. Santini et al. 10.1016/j.geomorph.2009.03.023
15. Development of time-variant landslide-prediction software considering three-dimensional subsurface unsaturated flow H. An et al. 10.1016/j.envsoft.2016.08.009
16. Testing space‐scale methodologies for automatic geomorphic feature extraction from lidar in a complex mountainous landscape P. Passalacqua et al. 10.1029/2009WR008812
17. Використання геоінформаційних технологій для дослідження зсувних процесів О. Кравець 10.36930/40300220
18. An open-source and QGIS-integrated physically based model for Spatial Prediction of Rainfall-Induced Shallow Landslides (SPRIn-SL) L. Raimondi et al. 10.1016/j.envsoft.2022.105587
19. 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
20. Multibeam Bathymetry and Slope Stability of Isvika Bay, Murchisonfjorden, Nordaustlandet M. Moskalik et al. 10.1080/01490419.2011.638040
21. Understanding earth surface processes from remotely sensed digital terrain models P. Tarolli et al. 10.1016/j.geomorph.2009.07.005
22. 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
23. Uncertainties of landslide susceptibility prediction: Influences of different spatial resolutions, machine learning models and proportions of training and testing dataset F. Huang et al. 10.1016/j.rockmb.2023.100028
24. High-resolution topography for understanding Earth surface processes: Opportunities and challenges P. Tarolli 10.1016/j.geomorph.2014.03.008
25. Hillslope-to-valley transition morphology: New opportunities from high resolution DTMs P. Tarolli & G. Dalla Fontana 10.1016/j.geomorph.2009.02.006
26. Assessment of snowmelt triggered landslide hazard and risk in Japan S. Kawagoe et al. 10.1016/j.coldregions.2009.05.004
27. A hydroclimatological approach to predicting regional landslide probability using Landlab R. Strauch et al. 10.5194/esurf-6-49-2018
28. Performance and topographic preferences of dynamic and steady models for shallow landslide prediction in a small catchment W. Liang & T. Uchida 10.1007/s10346-021-01771-w
29. Numerical Simulation of the Topographical Change in Korea Mountain Area by Intense Rainfall and Consequential Debris Flow B. Jun 10.1155/2016/9363675
30. Geomorphometric Appraisal for Seismic Hazard Assessment in the Chenab River Basin of the NW Himalayas, India A. Padder et al. 10.1134/S0016852122040069
31. An objective approach for feature extraction: distribution analysis and statistical descriptors for scale choice and channel network identification G. Sofia et al. 10.5194/hess-15-1387-2011
32. Rainfall-Induced Shallow Landslide Susceptibility Mapping at Two Adjacent Catchments Using Advanced Machine Learning Algorithms A. Pradhan & Y. Kim 10.3390/ijgi9100569
33. Shallow Landslide Assessment Considering the Influence of Vegetation Cover T. Viet et al. 10.14481/jkges.2016.17.4.17
34. Slope stability models for rainfall-induced lahars during long-lasting eruptions V. Baumann et al. 10.1016/j.jvolgeores.2018.06.018
35. Suitability of LiDAR point density and derived landform curvature maps for channel network extraction F. Pirotti & P. Tarolli 10.1002/hyp.7582
36. Debris-flow susceptibility assessment at regional scale: Validation on an alpine environment F. Bregoli et al. 10.1007/s10346-014-0493-x
37. 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. 10.1007/s12665-015-5047-6
38. Random Forests for Landslide Prediction in Tsengwen River Watershed, Central Taiwan Y. Cheng et al. 10.3390/rs13020199
39. Integrating physical and empirical landslide susceptibility models using generalized additive models J. Goetz et al. 10.1016/j.geomorph.2011.03.001
40. Detection and Labeling of Sensitive Areas in Hydrological Cartography Using Vector Statistics E. Quiros et al. 10.1109/TGRS.2015.2453112
41. 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
42. Modelling shallow landslide susceptibility by means of a subsurface flow path connectivity index and estimates of soil depth spatial distribution C. Lanni et al. 10.5194/hess-16-3959-2012
43. Flood‐driven topographic changes in a gravel‐cobble river over segment, reach, and morphological unit scales G. Pasternack & J. Wyrick 10.1002/esp.4064
44. Geomorphic features extraction from high-resolution topography: landslide crowns and bank erosion P. Tarolli et al. 10.1007/s11069-010-9695-2
45. Evaluation of the dynamic processes of a landslide with laser scanners and Bayesian methods A. Guarnieri et al. 10.1080/19475705.2014.983553
46. Calibration and resolution effects on model performance for predicting shallow landslide locations in Taiwan J. Keijsers et al. 10.1016/j.geomorph.2011.03.020
47. GIS-based landslide susceptibility model considering effective contributing area for drainage time A. Pradhan & Y. Kim 10.1080/10106049.2017.1303089
48. Assessment of Debris-Flow Erosion and Deposit Areas by Morphometric Analysis and a GIS-Based Simplified Procedure: A Case Study of Paupisi in the Southern Apennines G. Grelle et al. 10.3390/su11082382
49. A multidimensional stability model for predicting shallow landslide size and shape across landscapes D. Milledge et al. 10.1002/2014JF003135
50. Landslide susceptibility assessment using AHP model and multi resolution DEMs along a highway in Manipur, India M. Chanu & O. Bakimchandra 10.1007/s12665-022-10281-4
51. The impact of DEM resolution on landslide susceptibility modeling A. Wubalem 10.1007/s12517-022-10241-z
52. Regional mapping and characterisation of old landslides in hilly regions using LiDAR-based imagery in Southern Flanders M. Van Den Eeckhaut et al. 10.1016/j.yqres.2011.02.006
53. Field Measurements of Passive Earth Forces in Steep, Shallow, Landslide‐Prone Areas A. Cislaghi et al. 10.1029/2017JF004557
54. Implications of terrain resolution on modeling rainfall-triggered landslides using a TIN- based model E. Arnone et al. 10.1016/j.envsoft.2021.105067
55. EFFECT OF THE CURVATURE PARAMETER AND İTS CLASSİFİCATİON ON LANDSLİDES S. Çellek 10.21923/jesd.1391818
56. Probabilistic modelling of rainfall induced landslide hazard assessment S. Kawagoe et al. 10.5194/hess-14-1047-2010
57. Wavelet-based regularization of the extracted topographic index from high-resolution topography for hydro-geomorphic applications V. Nourani & S. Zanardo 10.1002/hyp.9665
58. Forest harvesting is associated with increased landslide activity during an extreme rainstorm on Vancouver Island, Canada J. Goetz et al. 10.5194/nhess-15-1311-2015
59. Predicting shallow landslide size and location across a natural landscape: Application of a spectral clustering search algorithm D. Bellugi et al. 10.1002/2015JF003520
60. ALICE (Assessment of Landslides Induced by Climatic Events): A single tool to integrate shallow and deep landslides for susceptibility and hazard assessment R. Vandromme et al. 10.1016/j.geomorph.2020.107307
61. Slope instabilities in steep cultivation systems: Process classification and opportunities from remote sensing P. Tarolli et al. 10.1002/ldr.3798
62. The influence of grid resolution on the prediction of natural and road-related shallow landslides D. Penna et al. 10.5194/hess-18-2127-2014
63. Validation of digital elevation models (DEMs) and comparison of geomorphic metrics on the southern Central Andean Plateau B. Purinton & B. Bookhagen 10.5194/esurf-5-211-2017
64. The 10 m-resolution TINITALY DEM as a trans-disciplinary basis for the analysis of the Italian territory: Current trends and new perspectives S. Tarquini & L. Nannipieri 10.1016/j.geomorph.2016.12.022
65. Analysis of two sources of variability of basin outflow hydrographs computed with the 2D shallow water model Iber: Digital Terrain Model and unstructured mesh size G. García-Alén et al. 10.1016/j.jhydrol.2022.128182
66. Assessment of sudden sediment source areas incurred by extreme rainfall in a mountainous environment: Approach using a subsurface hydrologic concept M. Kim et al. 10.1016/j.quaint.2018.10.031
67. Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept U. Đurić et al. 10.1016/j.enggeo.2019.05.007
68. Sensitivity analysis of automatic landslide mapping: numerical experiments towards the best solution K. Pawluszek et al. 10.1007/s10346-018-0986-0
69. How does grid-resolution modulate the topographic expression of geomorphic processes? S. Grieve et al. 10.5194/esurf-4-627-2016
70. Including root reinforcement variability in a probabilistic 3D stability model A. Cislaghi et al. 10.1002/esp.4127
71. AI-Based Susceptibility Analysis of Shallow Landslides Induced by Heavy Rainfall in Tianshui, China T. Qi et al. 10.3390/rs13091819
72. Spatial–temporal analysis of landslides in complex hillslopes of catchments using Dynamic Topmodel F. Bahmani et al. 10.1007/s11600-022-00786-8
73. Topographic Analysis of Landslide Distribution Using AW3D30 Data A. Nonomura et al. 10.3390/geosciences10040115
74. Triggering threshold precipitation and soil hydrological characteristics of shallow landslides in granitic landscapes V. Ruiz-Villanueva et al. 10.1016/j.geomorph.2011.05.018
75. LiDAR-supported prediction of slope failures using an integrated ensemble weights-of-evidence and analytical hierarchy process A. Jaafari 10.1007/s12665-017-7207-3
76. The effectiveness of airborne LiDAR data in the recognition of channel-bed morphology M. Cavalli et al. 10.1016/j.catena.2007.11.001
77. Application of a multi‐temporal, LiDAR‐derived, digital terrain model in a landslide‐volume estimation C. Tseng et al. 10.1002/esp.3454
78. Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping E. Arnone et al. 10.1016/j.envsoft.2016.07.016
79. Susceptibility assessment for rainfall-induced landslides using a revised logistic regression method X. Xing et al. 10.1007/s11069-020-04452-4
80. Landslide model performance in a high resolution small-scale landscape V. De Sy et al. 10.1016/j.geomorph.2013.02.012
81. Strategies to improve the explanatory power of a dynamic slope stability model by enhancing land cover parameterisation and model complexity E. Schmaltz et al. 10.1002/esp.4570
82. A review of statistically-based landslide susceptibility models P. Reichenbach et al. 10.1016/j.earscirev.2018.03.001
83. Modeling shallow landsliding susceptibility by incorporating heavy rainfall statistical properties P. Tarolli et al. 10.1016/j.geomorph.2011.02.033
84. Critical rainfall to trigger landslides in Cunha River basin, southern Brazil G. Michel et al. 10.1007/s11069-014-1435-6
85. Holocene book review: Digital Terrain Analysis in Soil Science and Geology P. Tarolli 10.1177/0959683615572731
86. Effects of vegetation disturbance by fire on channel initiation thresholds K. Hyde et al. 10.1016/j.geomorph.2014.03.013
87. Applications of Terrestrial Laser Scanning in Geomorphology Y. HAYAKAWA & T. OGUCHI 10.5026/jgeography.125.299
88. Detection of earthflow dynamics using medium-resolution digital terrain models: Diachronic perspective of the Jovac earthflow, Southern Serbia M. Milošević et al. 10.3986/AGS.9818
89. GVLiDAR: an interactive web-based visualization framework to support geospatial measures on lidar data D. Deibe et al. 10.1080/01431161.2016.1271476