88 citations as recorded by crossref.

1. Coseismic Debris Remains in the Orogen Despite a Decade of Enhanced Landsliding L. Dai et al. 10.1029/2021GL095850
2. 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
3. Enabling 3D landslide event statistics using satellite and UAV-enabled topographic differencing M. Clark et al. 10.1007/s10346-024-02374-x
4. Sensitivity analysis of automatic landslide mapping: numerical experiments towards the best solution K. Pawluszek et al. 10.1007/s10346-018-0986-0
5. A revised comprehensive inventory of landslides induced by the 2007 Aysén earthquake, Patagonia A. Serey et al. 10.1007/s10064-024-04057-2
6. Evaluating volume of coseismic landslide clusters by flow direction-based partitioning R. Fan et al. 10.1016/j.enggeo.2019.105238
7. Landslide Distribution and Development Characteristics in the Beiluo River Basin F. Liu et al. 10.3390/land13071038
8. Multi-event assessment of typhoon-triggered landslide susceptibility in the Philippines J. Jones et al. 10.5194/nhess-23-1095-2023
9. A globally distributed dataset of coseismic landslide mapping via multi-source high-resolution remote sensing images C. Fang et al. 10.5194/essd-16-4817-2024
10. Landslide shape, ellipticity and length‐to‐width ratios F. Taylor et al. 10.1002/esp.4479
11. Characteristics and causes of natural and human-induced landslides in a tropical mountainous region: the rift flank west of Lake Kivu (Democratic Republic of the Congo) J. Maki Mateso et al. 10.5194/nhess-23-643-2023
12. 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
13. Noncontact detection of earthquake-induced landslides by an enhanced image binarization method incorporating with Monte-Carlo simulation Z. Han et al. 10.1080/19475705.2018.1520745
14. Satellite-based emergency mapping using optical imagery: experience and reflections from the 2015 Nepal earthquakes J. Williams et al. 10.5194/nhess-18-185-2018
15. Landslides and fluvial response to landsliding induced by the 1933 Diexi earthquake, Minjiang River, eastern Tibetan Plateau L. Dai et al. 10.1007/s10346-021-01717-2
16. Preservation and transportation of large landslide deposits under decadal and millennial timescales in the Taiwan orogenic belt C. Chen et al. 10.1016/j.geomorph.2022.108402
17. The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal K. Roback et al. 10.1016/j.geomorph.2017.01.030
18. Quantifying Near‐Surface Rock Strength on a Regional Scale From Hillslope Stability Models K. Townsend et al. 10.1029/2020JF005665
19. Characteristics of landslide path dependency revealed through multiple resolution landslide inventories in the Nepal Himalaya S. Roberts et al. 10.1016/j.geomorph.2021.107868
20. Inventory, Distribution and Geometric Characteristics of Landslides in Baoshan City, Yunnan Province, China X. Shao et al. 10.3390/su12062433
21. Storm-triggered landslides in the Peruvian Andes and implications for topography, carbon cycles, and biodiversity K. Clark et al. 10.5194/esurf-4-47-2016
22. Large landslides and deep-seated gravitational slope deformations in the Czech Flysch Carpathians: New LiDAR-based inventory T. Pánek et al. 10.1016/j.geomorph.2019.106852
23. Volume Characteristics of Landslides Triggered by the MW 7.8 2016 Kaikōura Earthquake, New Zealand, Derived From Digital Surface Difference Modeling C. Massey et al. 10.1029/2019JF005163
24. Landslide Processes Involved in Volcano Dismantling From Past to Present: The Remarkable Open‐Air Laboratory of the Cirque de Salazie (Reunion Island) C. Rault et al. 10.1029/2021JF006257
25. Landslide recognition and mapping in a mixed forest environment from airborne LiDAR data T. Görüm 10.1016/j.enggeo.2019.105155
26. Effective prediction of earthquake-induced slope displacements, considering region-specific seismotectonic and climatic conditions D. Djukem et al. 10.1007/s11069-025-07200-8
27. Landslides triggered by the 2015 Mw 6.0 Sabah (Malaysia) earthquake: inventory and ESI-07 intensity assignment M. Ferrario 10.5194/nhess-22-3527-2022
28. Cumulative damage evolution rule of rock slope based on shaking table test using VMD-HT J. Chen et al. 10.1016/j.enggeo.2023.107003
29. Landslide development within 3 years after the 2015 Mw 7.8 Gorkha earthquake, Nepal Y. Tian et al. 10.1007/s10346-020-01366-x
30. Decadal vegetation succession from MODIS reveals the spatio-temporal evolution of post-seismic landsliding after the 2008 Wenchuan earthquake A. Yunus et al. 10.1016/j.rse.2019.111476
31. The Fate of Sediment After a Large Earthquake O. Francis et al. 10.1029/2021JF006352
32. Rapid Mapping of Landslides Induced by Heavy Rainfall in the Emilia-Romagna (Italy) Region in May 2023 M. Ferrario & F. Livio 10.3390/rs16010122
33. Transient changes of landslide rates after earthquakes O. Marc et al. 10.1130/G36961.1
34. An alternative to landslide volume-area scaling relationships: an ensemble approach adopting a difference model to estimate the total volume of landsliding triggered by the 2016 Kaikōura earthquake, New Zealand K. Jones et al. 10.1007/s10346-025-02479-x
35. Seismic and geological controls on earthquake-induced landslide size A. Valagussa et al. 10.1016/j.epsl.2018.11.005
36. Analysis of the fundamental differences between dam-forming landslides and all landslides H. Wu et al. 10.1016/j.geomorph.2025.109665
37. The influence of frequency and duration of seismic ground motion on the size of triggered landslides—A regional view R. Jibson & H. Tanyaş 10.1016/j.enggeo.2020.105671
38. Constraining landslide timing in a data-scarce context: from recent to very old processes in the tropical environment of the North Tanganyika-Kivu Rift region O. Dewitte et al. 10.1007/s10346-020-01452-0
39. Landslide susceptibility modeling by interpretable neural network K. Youssef et al. 10.1038/s43247-023-00806-5
40. Beyond 2D landslide inventories and their rollover: synoptic 3D inventories and volume from repeat lidar data T. Bernard et al. 10.5194/esurf-9-1013-2021
41. Landslide Geometry Reveals its Trigger K. Rana et al. 10.1029/2020GL090848
42. Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories R. Emberson et al. 10.5194/nhess-22-1129-2022
43. Connectivity of earthquake‐triggered landslides with the fluvial network: Implications for landslide sediment transport after the 2008 Wenchuan earthquake G. Li et al. 10.1002/2015JF003718
44. Glacial geomorphological mapping: A review of approaches and frameworks for best practice B. Chandler et al. 10.1016/j.earscirev.2018.07.015
45. Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island S. Heleno et al. 10.5194/nhess-16-1035-2016
46. Combining remote sensing techniques and field surveys for post-earthquake reconnaissance missions G. Giardina et al. 10.1007/s10518-023-01716-9
47. Landslide Hazard and Exposure Modelling in Data‐Poor Regions: The Example of the Rohingya Refugee Camps in Bangladesh R. Emberson et al. 10.1029/2020EF001666
48. Prediction of the area affected by earthquake-induced landsliding based on seismological parameters O. Marc et al. 10.5194/nhess-17-1159-2017
49. How size and trigger matter: analyzing rainfall- and earthquake-triggered landslide inventories and their causal relation in the Koshi River basin, central Himalaya J. Zhang et al. 10.5194/nhess-19-1789-2019
50. Two multi-temporal datasets that track the enhanced landsliding after the 2008 Wenchuan earthquake X. Fan et al. 10.5194/essd-11-35-2019
51. Landslides triggered by the Gorkha earthquake in the Langtang valley, volumes and initiation processes P. Lacroix 10.1186/s40623-016-0423-3
52. A Network for Landslide Detection Using Large-Area Remote Sensing Images with Multiple Spatial Resolutions B. Yu et al. 10.3390/rs14225759
53. Field techniques for measuring bedrock erosion and denudation J. Turowski & K. Cook 10.1002/esp.4007
54. Earthquake statistics changed by typhoon-driven erosion P. Steer et al. 10.1038/s41598-020-67865-y
55. 30-year record of Himalaya mass-wasting reveals landscape perturbations by extreme events J. Jones et al. 10.1038/s41467-021-26964-8
56. Residence Time of Over‐Steepened Rock Masses in an Active Mountain Range G. Li et al. 10.1029/2021GL097319
57. Machine learning techniques on spatio-temporal data for landslide susceptibility assessment at Dieng Mountainous Region, Banjarnegara district, Central Java, Indonesia Y. Susena et al. 10.1007/s11069-025-07136-z
58. Application of Supervised Machine Learning Technique on LiDAR Data for Monitoring Coastal Land Evolution M. Barbarella et al. 10.3390/rs13234782
59. Presentation and Analysis of a Worldwide Database of Earthquake‐Induced Landslide Inventories H. Tanyaş et al. 10.1002/2017JF004236
60. Initial insights from a global database of rainfall-induced landslide inventories: the weak influence of slope and strong influence of total storm rainfall O. Marc et al. 10.5194/esurf-6-903-2018
61. Inventory of Vietri-Maiori landslides induced by the storm of October 1954 (southern Italy) F. Fiorillo et al. 10.1080/17445647.2019.1626777
62. Landslide mobilization rates: A global analysis and model J. Broeckx et al. 10.1016/j.earscirev.2019.102972
63. Review of landslide inventories for Nepal between 2010 and 2021 reveals data gaps in global landslide hotspot E. Harvey et al. 10.1007/s11069-024-07013-1
64. Factors controlling landslide frequency–area distributions H. Tanyaş et al. 10.1002/esp.4543
65. Mechanistic insights from emergent landslides in physical experiments O. Beaulieu et al. 10.1130/G47875.1
66. Two-phase strategy for rapid and unbiased assessment of earthquake-induced landslides S. Xiao et al. 10.1016/j.enggeo.2024.107562
67. Size scaling of large landslides from incomplete inventories O. Korup et al. 10.5194/nhess-24-3815-2024
68. Long-term erosion of the Nepal Himalayas by bedrock landsliding: the role of monsoons, earthquakes and giant landslides O. Marc et al. 10.5194/esurf-7-107-2019
69. Texton-Based Ensemble Classification of Landslide Source and Transport Areas in VHR Imagery M. Silveira et al. 10.1109/LGRS.2016.2610003
70. Automated derivation and spatio-temporal analysis of landslide properties in southern Kyrgyzstan D. Golovko et al. 10.1007/s11069-016-2636-y
71. Volume Estimation of Landslide Affected Soil Moisture Using TRIGRS: A Case Study of Longxi River Small Watershed in Wenchuan Earthquake Zone, China T. Sun et al. 10.3390/w13010071
72. Simple rules to minimise exposure to coseismic landslide hazard D. Milledge et al. 10.5194/nhess-19-837-2019
73. Distribution and Morphometry of Thermocirques in the North of West Siberia, Russia M. Leibman et al. 10.3390/geosciences13060167
74. An updated method for estimating landslide‐event magnitude H. Tanyaş et al. 10.1002/esp.4359
75. Role of landslides on the volume balance of the Nepal 2015 earthquake sequence A. Valagussa et al. 10.1038/s41598-021-83037-y
76. A seismologically consistent expression for the total area and volume of earthquake‐triggered landsliding O. Marc et al. 10.1002/2015JF003732
77. Comparison of Earthquake-Triggered Landslide Inventories: A Case Study of the 2015 Gorkha Earthquake, Nepal S. Meena & S. Tavakkoli Piralilou 10.3390/geosciences9100437
78. Coseismic Uplift of the 1999 Mw7.6 Chi‐Chi Earthquake and Implication to Topographic Change in Frontal Mountain Belts R. Chuang et al. 10.1029/2020GL088947
79. Oxidation of sulfides and rapid weathering in recent landslides R. Emberson et al. 10.5194/esurf-4-727-2016
80. Automatic Extraction of Seismic Landslides in Large Areas with Complex Environments Based on Deep Learning: An Example of the 2018 Iburi Earthquake, Japan P. Zhang et al. 10.3390/rs12233992
81. Landslides triggered by multiple earthquakes: insights from the 2018 Lombok (Indonesia) events M. Ferrario 10.1007/s11069-019-03718-w
82. Archaeological evidence for Holocene landslide activity in the Eastern Carpathian lowland M. Niculiţă et al. 10.1016/j.quaint.2015.12.048
83. Use of Very High-Resolution Optical Data for Landslide Mapping and Susceptibility Analysis along the Karnali Highway, Nepal P. Amatya et al. 10.3390/rs11192284
84. Investigation of the Effect of the Dataset Size and Type in the Earthquake-Triggered Landslides Mapping: A Case Study for the 2018 Hokkaido Iburu Landslides R. Comert 10.3389/feart.2021.633665
85. Temporal Variations in Landslide Distributions Following Extreme Events: Implications for Landslide Susceptibility Modeling J. Jones et al. 10.1029/2021JF006067
86. Exploiting earthquake-induced landslide inventories for macroseismic assessment using the environmental seismic intensity (ESI-07) scale E. Muccignato & M. Ferrario 10.3389/feart.2025.1468787
87. Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti P. Amatya et al. 10.1007/s11069-023-06096-6
88. How fast do gully headcuts retreat? M. Vanmaercke et al. 10.1016/j.earscirev.2016.01.009