117 citations as recorded by crossref.

1. The Importance of Monitoring Interval for Rockfall Magnitude‐Frequency Estimation J. Williams et al. https://doi.org/10.1029/2019JF005225
2. Coseismic landslides caused by the 2022 Luding earthquake in China: insights from remote sensing interpretations and machine learning models Z. Ding & C. Wang https://doi.org/10.3389/feart.2025.1564744
3. Three-dimensional rockfall shape back analysis: methods and implications D. Bonneau et al. https://doi.org/10.5194/nhess-19-2745-2019
4. Rockfall Magnitude-Frequency Relationship Based on Multi-Source Data from Monitoring and Inventory M. Janeras et al. https://doi.org/10.3390/rs15081981
5. Temporal-Spatial Frequency Rockfall Data from Open-Pit Highwalls Using a Low-Cost Monitoring System A. Giacomini et al. https://doi.org/10.3390/rs12152459
6. Short-term geomorphological evolution of the Poggio Baldi landslide upper scarp via 3D change detection P. Mazzanti et al. https://doi.org/10.1007/s10346-021-01647-z
7. Rapid 3D lidar change detection for geohazard identification using GPU-based alignment and M3C2 algorithms L. Weidner et al. https://doi.org/10.1139/cgj-2023-0073
8. GlobR2C2 (Global Recession Rates of Coastal Cliffs): a global relational database to investigate coastal rocky cliff erosion rate variations M. Prémaillon et al. https://doi.org/10.5194/esurf-6-651-2018
9. Using High Sample Rate Lidar to Measure Debris-Flow Velocity and Surface Geometry F. Rengers et al. https://doi.org/10.2113/EEG-D-20-00045
10. Removing residual airborne sensor motion for measuring seismic signals from a drone T. Rapstine & P. Sava https://doi.org/10.1139/juvs-2020-0017
11. Accurate deformation analysis based on point position uncertainty estimation and adaptive projection point cloud comparison W. Sun et al. https://doi.org/10.1080/10106049.2023.2175916
12. Harnessing attention mechanisms in a comprehensive deep learning approach for induction motor fault diagnosis using raw electrical signals T. Vo et al. https://doi.org/10.1016/j.engappai.2023.107643
13. Geomorphic process signatures reshaping sub‐humid Mediterranean badlands: 1. Methodological development based on high‐resolution topography M. Llena et al. https://doi.org/10.1002/esp.4821
14. Decoding Complex Erosion Responses for the Mitigation of Coastal Rockfall Hazards Using Repeat Terrestrial LiDAR M. Westoby et al. https://doi.org/10.3390/rs12162620
15. A 6-year lidar survey reveals enhanced rockwall retreat and modified rockfall magnitudes/frequencies in deglaciating cirques I. Hartmeyer et al. https://doi.org/10.5194/esurf-8-753-2020
16. Targeted Rock Slope Assessment Using Voxels and Object-Oriented Classification I. Farmakis et al. https://doi.org/10.3390/rs13071354
17. Mechanisms and frequency-size statistics of failures characterizing a coastal cliff partially protected from the wave erosive action G. Esposito et al. https://doi.org/10.1007/s12210-020-00902-0
18. Multi-temporal analysis to support the management of torrent control structures S. Cucchiaro et al. https://doi.org/10.1016/j.catena.2023.107599
19. Enhanced Scan Registration Through Recursive ICP and Bias Filtering for Geoengineering Applications J. Aubertin https://doi.org/10.1007/s41976-025-00214-7
20. Monitoring topographic changes through 4D-structure-from-motion photogrammetry: application to a debris-flow channel S. Cucchiaro et al. https://doi.org/10.1007/s12665-018-7817-4
21. M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation L. Winiwarter et al. https://doi.org/10.1016/j.isprsjprs.2021.06.011
22. A high-resolution 4D terrestrial laser scan dataset of the Kijkduin beach-dune system, The Netherlands S. Vos et al. https://doi.org/10.1038/s41597-022-01291-9
23. Simulation of fragmental rockfalls detected using terrestrial laser scans from rock slopes in south-central British Columbia, Canada Z. Sala et al. https://doi.org/10.5194/nhess-19-2385-2019
24. Power law models for rockfall frequency-magnitude distributions: review and identification of factors that influence the scaling exponent A. Graber & P. Santi https://doi.org/10.1016/j.geomorph.2022.108463
25. Seagrass restoration monitoring and shallow-water benthic habitat mapping through a photogrammetry-based protocol D. Ventura et al. https://doi.org/10.1016/j.jenvman.2021.114262
26. Multi‐temporal 3D point cloud‐based quantification and analysis of geomorphological activity at an alpine rock glacier using airborne and terrestrial LiDAR V. Zahs et al. https://doi.org/10.1002/ppp.2004
27. Permanent terrestrial laser scanning for near-continuous environmental observations: Systems, methods, challenges and applications R. Lindenbergh et al. https://doi.org/10.1016/j.ophoto.2025.100094
28. Optimising sub-metre resolution 3D geomorphic change detection over large areas using multitemporal airborne laser scanning with Sentinel-1 InSAR and Sentinel-2 optical observations S. Walker et al. https://doi.org/10.1016/j.rse.2024.114522
29. Remote sensing and seismic data integration for the characterization of a rock slide and an artificially triggered rock fall M. Guinau et al. https://doi.org/10.1016/j.enggeo.2019.04.010
30. Current glacier recession causes significant rockfall increase: the immediate paraglacial response of deglaciating cirque walls I. Hartmeyer et al. https://doi.org/10.5194/esurf-8-729-2020
31. VoxFall: Non-parametric volumetric change detection for rockfalls I. Farmakis et al. https://doi.org/10.1016/j.enggeo.2025.108045
32. High-Temporal-Resolution Rock Slope Monitoring Using Terrestrial Structure-from-Motion Photogrammetry in an Application with Spatial Resolution Limitations B. Butcher et al. https://doi.org/10.3390/rs16010066
33. Monitoring the Effects of Slope Hazard Mitigation and Weather on Rockfall along a Colorado Highway Using Terrestrial Laser Scanning L. Weidner & G. Walton https://doi.org/10.3390/rs13224584
34. Controls on the geotechnical response of sedimentary rocks to weathering S. de Vilder et al. https://doi.org/10.1002/esp.4619
35. New Approach for Photogrammetric Rock Slope Premonitory Movements Monitoring M. Núñez-Andrés et al. https://doi.org/10.3390/rs15020293
36. Development and Optimization of an Automated Fixed-Location Time Lapse Photogrammetric Rock Slope Monitoring System R. Kromer et al. https://doi.org/10.3390/rs11161890
37. Registration of multi-platform point clouds using edge detection for rockfall monitoring D. Bolkas et al. https://doi.org/10.1016/j.isprsjprs.2021.03.017
38. 4D objects-by-change: Spatiotemporal segmentation of geomorphic surface change from LiDAR time series K. Anders et al. https://doi.org/10.1016/j.isprsjprs.2019.11.025
39. Conceptual model of fracture‐limited sea cliff erosion: Erosion of the seaward tilted flyschs of Socoa, Basque Country, France M. Prémaillon et al. https://doi.org/10.1002/esp.5201
40. Rockfall monitoring with three terrestrial and two mobile laser scanners: a comparison of detection levels M. Chanut et al. https://doi.org/10.1007/s10064-026-05009-8
41. Debris-Flow Channel Headwater Dynamics: Examining Channel Recharge Cycles With Terrestrial Laser Scanning D. Bonneau et al. https://doi.org/10.3389/feart.2022.883259
42. Coseismic landslide susceptibility modelling via machine learning associated with the September 5, 2022, Luding Mw 6.8 earthquake, southeastern Tibetan Plateau L. Deng et al. https://doi.org/10.1007/s10064-026-04864-9
43. Emergent characteristics of rockfall inventories captured at a regional scale J. Benjamin et al. https://doi.org/10.1002/esp.4929
44. Size-frequency distribution of submarine mass movements on the Palomares continental slope (W Mediterranean) L. Retegui et al. https://doi.org/10.1016/j.margeo.2024.107411
45. MATLAB Virtual Toolbox for Retrospective Rockfall Source Detection and Volume Estimation Using 3D Point Clouds: A Case Study of a Subalpine Molasse Cliff D. Carrea et al. https://doi.org/10.3390/geosciences11020075
46. Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes K. Anders et al. https://doi.org/10.1016/j.isprsjprs.2021.01.015
47. From rock mass to rockfall activity: A comprehensive rockfall assessment using 3D kinematic analysis and change detection A. Watman et al. https://doi.org/10.1016/j.enggeo.2025.108437
48. Remote thermal detection of exfoliation sheet deformation A. Guerin et al. https://doi.org/10.1007/s10346-020-01524-1
49. Landslide Scaling: A Review S. Tebbens https://doi.org/10.1029/2019EA000662
50. Sub‐arctic river bank dynamics and driving processes during the open‐channel flow period E. Lotsari et al. https://doi.org/10.1002/esp.4796
51. Statistically assessing vertical change on a sandy beach from permanent laser scanning time series M. Kuschnerus et al. https://doi.org/10.1016/j.ophoto.2023.100055
52. The three-stage rock failure dynamics of the Drus (Mont Blanc massif, France) since the June 2005 large event A. Guerin et al. https://doi.org/10.1038/s41598-020-74162-1
53. Rockfall Volume–Cumulative Frequency Relationships for Rockfall Hazard Quantification Using Historical and Change Detection Data S. Bhowmick & R. Macciotta https://doi.org/10.3390/geohazards7020069
54. Combining remote sensing techniques to optimize digital surface models for change detection: a case study at a pit wall in the Canadian Cordillera T. Gierc et al. https://doi.org/10.1007/s11069-025-07688-0
55. Exploring short‐term rockfall inventories in deglaciating catchments: From evidencing glacial history to modelling rockfall runout R. Stewart et al. https://doi.org/10.1002/esp.70217
56. Using visibility analysis to improve point density and processing time of SfM‐MVS techniques for 3D reconstruction of landforms Á. Gómez‐Gutiérrez et al. https://doi.org/10.1002/esp.4910
57. Canadian Geotechnical Colloquium: three-dimensional remote sensing, four-dimensional analysis and visualization in geotechnical engineering — state of the art and outlook M. Lato https://doi.org/10.1139/cgj-2020-0399
58. A decade of erosion monitoring of coastal chalk cliff faces at a seasonal frequency (2010−2021) using terrestrial lasergrammetry and photogrammetry (Varengeville-sur-Mer and Dieppe, Normandy, France): Technical evolution and main results P. Letortu et al. https://doi.org/10.1016/j.geomorph.2025.109738
59. Quantifying 40 years of rockfall activity in Yosemite Valley with historical Structure-from-Motion photogrammetry and terrestrial laser scanning A. Guerin et al. https://doi.org/10.1016/j.geomorph.2020.107069
60. Machine Learning-Based Rockfalls Detection with 3D Point Clouds, Example in the Montserrat Massif (Spain) L. Blanco et al. https://doi.org/10.3390/rs14174306
61. Change Detection Applications in the Earth Sciences Using UAS-Based Sensing: A Review and Future Opportunities C. Andresen & E. Schultz-Fellenz https://doi.org/10.3390/drones7040258
62. Using Mixed Reality for the Visualization and Dissemination of Complex 3D Models in Geosciences—Application to the Montserrat Massif (Spain) M. Janeras et al. https://doi.org/10.3390/geosciences12100370
63. Characterization of the Fels Landslide (Alaska) Using Combined Terrestrial, Aerial, and Satellite Remote Sensing Data D. Donati et al. https://doi.org/10.3390/rs16010117
64. Applications of Image-Based Computer Vision for Remote Surveillance of Slope Instability M. Muhammad et al. https://doi.org/10.3389/feart.2022.909078
65. Remote Sensing and Geovisualization of Rock Slopes and Landslides D. Donati et al. https://doi.org/10.3390/rs15153702
66. Point Cloud Stacking: A Workflow to Enhance 3D Monitoring Capabilities Using Time-Lapse Cameras X. Blanch et al. https://doi.org/10.3390/rs12081240
67. Quantifying Landscape Evolution and Erosion by Remote Sensing Á. Gómez-Gutiérrez & J. Pérez-Peña https://doi.org/10.3390/rs16060968
68. Coseismic landslides triggered by the 2022 Luding Ms6.8 earthquake, China L. Dai et al. https://doi.org/10.1007/s10346-023-02061-3
69. Determination of underground mining-induced displacement field using multi-temporal TLS point cloud registration W. Matwij et al. https://doi.org/10.1016/j.measurement.2021.109482
70. Assessing the rock failure return period on an unstable Alpine rock wall based on volume-frequency relationships: The Brenva Spur (3916 m a.s.l., Aosta Valley, Italy) L. Fei et al. https://doi.org/10.1016/j.enggeo.2023.107239
71. Multi-directional change detection between point clouds J. Williams et al. https://doi.org/10.1016/j.isprsjprs.2020.12.002
72. Factors controlling landslide frequency–area distributions H. Tanyaş et al. https://doi.org/10.1002/esp.4543
73. Automating coastal cliff erosion measurements from large-area LiDAR datasets in California, USA Z. Swirad & A. Young https://doi.org/10.1016/j.geomorph.2021.107799
74. Surface Reconstruction for Three-Dimensional Rockfall Volumetric Analysis D. Bonneau et al. https://doi.org/10.3390/ijgi8120548
75. Automatic tracking rockfall precursory movements in 3D point clouds using the new L-ICP method M. Chanut et al. https://doi.org/10.1016/j.geomorph.2025.110056
76. Integrated machine learning segmentation and 3D change detection for a scalable coastal cliff monitoring workflow C. Mack et al. https://doi.org/10.1016/j.cageo.2026.106165
77. Beyond 2D landslide inventories and their rollover: synoptic 3D inventories and volume from repeat lidar data T. Bernard et al. https://doi.org/10.5194/esurf-9-1013-2021
78. Quantifying Aperiodic Cliff Top and Cliff Face Retreat Rates for an Eroding Drumlin on Ireland’s Atlantic Coast Using Structure-from-Motion G. Rink et al. https://doi.org/10.3390/geosciences14060165
79. The role of data within coastal resilience assessments: an East Anglia, UK, case study A. Rumson et al. https://doi.org/10.1016/j.ocecoaman.2019.105004
80. Development and Testing of Octree-Based Intra-Voxel Statistical Inference to Enable Real-Time Geotechnical Monitoring of Large-Scale Underground Spaces with Mobile Laser Scanning Data L. Fahle et al. https://doi.org/10.3390/rs15071764
81. Alpine rockwall erosion patterns follow elevation-dependent climate trajectories D. Draebing et al. https://doi.org/10.1038/s43247-022-00348-2
82. Dense point cloud acquisition with a low-cost Velodyne VLP-16 J. Bula et al. https://doi.org/10.5194/gi-9-385-2020
83. Revisiting landslide risk terms: IAEG commission C-37 working group on landslide risk nomenclature J. Corominas et al. https://doi.org/10.1007/s10064-023-03474-z
84. Computational Geometry-Based Surface Reconstruction for Volume Estimation: A Case Study on Magnitude-Frequency Relations for a LiDAR-Derived Rockfall Inventory P. DiFrancesco et al. https://doi.org/10.3390/ijgi10030157
85. Statistical analysis of factors influencing overall rockfall activity and the spatially-normalized rockfall power law activity constant, A C. Phillips & G. Walton https://doi.org/10.1016/j.enggeo.2025.108297
86. MOLISENS: MObile LIdar SENsor System to exploit the potential of small industrial lidar devices for geoscientific applications T. Goelles et al. https://doi.org/10.5194/gi-11-247-2022
87. Correspondence-driven plane-based M3C2 for lower uncertainty in 3D topographic change quantification V. Zahs et al. https://doi.org/10.1016/j.isprsjprs.2021.11.018
88. Correlation between rockfall frequency and overhang geometrical attributes O. Mavrouli et al. https://doi.org/10.1007/s10346-024-02259-z
89. Development of Improved Semi-Automated Processing Algorithms for the Creation of Rockfall Databases H. Schovanec et al. https://doi.org/10.3390/rs13081479
90. Classification methods for point clouds in rock slope monitoring: A novel machine learning approach and comparative analysis L. Weidner et al. https://doi.org/10.1016/j.enggeo.2019.105326
91. Development of a Rockfall Database with Fixed Photogrammetry: Comparison of the Multi-epoch and Multi-imagery Method to Classical Structure-from-Motion Workflows and Evaluation of Rockfall Seasonality J. Hollander et al. https://doi.org/10.1007/s00603-025-04824-x
92. Accuracy of Rockfall Volume Reconstruction from Point Cloud Data—Evaluating the Influences of Data Quality and Filtering G. Walton & L. Weidner https://doi.org/10.3390/rs15010165
93. Measurement of rock glacier surface change over different timescales using terrestrial laser scanning point clouds V. Ulrich et al. https://doi.org/10.5194/esurf-9-19-2021
94. Hyperconcentrated flows shape bedrock channels V. Stammberger et al. https://doi.org/10.1038/s43247-024-01353-3
95. A Block-Wise ICP Method for Retrieving 3D Landslide Displacement Vectors Based on Terrestrial Laser Scanning Point Clouds Z. Xian et al. https://doi.org/10.3390/rs18060923
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98. UAV-photogrammetry rockfall monitoring of natural slopes in Glenwood Canyon, CO, USA: background activity and post-wildfire impacts A. Graber & P. Santi https://doi.org/10.1007/s10346-022-01974-9
99. Paraglacial and periglacial processes drive headwall erosion in a deglaciating Swiss cirque D. Draebing et al. https://doi.org/10.1016/j.geomorph.2025.109799
100. Spatio-temporal characterization of slope damage: insights from the Ten Mile Slide, British Columbia, Canada D. Donati et al. https://doi.org/10.1007/s10346-020-01352-3
101. An algorithm for measuring landslide deformation in terrestrial lidar point clouds using trees L. Weidner et al. https://doi.org/10.1007/s10346-021-01723-4
102. Spatial and temporal trends in California coastal cliff retreat Z. Swirad & A. Young https://doi.org/10.1016/j.geomorph.2022.108318
103. The Implications of M3C2 Projection Diameter on 3D Semi-Automated Rockfall Extraction from Sequential Terrestrial Laser Scanning Point Clouds P. DiFrancesco et al. https://doi.org/10.3390/rs12111885
104. Rockfall Research: A Bibliometric Analysis and Future Trends J. Briones-Bitar et al. https://doi.org/10.3390/geosciences10100403
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106. Detection of rock bridges by infrared thermal imaging and modeling A. Guerin et al. https://doi.org/10.1038/s41598-019-49336-1
107. Increasing Spatio-Temporal Resolution for Monitoring Alpine Solifluction Using Terrestrial Laser Scanners and 3D Vector Fields C. Holst et al. https://doi.org/10.3390/rs13061192
108. Landslide size matters: A new data-driven, spatial prototype L. Lombardo et al. https://doi.org/10.1016/j.enggeo.2021.106288
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110. Lidar-Derived Rockfall Inventory—An Analysis of the Geomorphic Evolution of Rock Slopes and Modifying the Rockfall Activity Index (RAI) S. Markus et al. https://doi.org/10.3390/rs15174223
111. Analysis of rockfall-induced retreat and influencing factors in a sandstone-marl interbedded rock wall in a low-elevation environment L. Fei et al. https://doi.org/10.1016/j.enggeo.2025.108506
112. Assessing the relationship between weather conditions and rockfall using terrestrial laser scanning to improve risk management T. Birien & F. Gauthier https://doi.org/10.5194/nhess-23-343-2023
113. Fixed photogrammetric systems for natural hazard monitoring with high spatio-temporal resolution X. Blanch et al. https://doi.org/10.5194/nhess-23-3285-2023
114. Classifying rock slope materials in photogrammetric point clouds using robust color and geometric features L. Weidner et al. https://doi.org/10.1016/j.isprsjprs.2021.04.001
115. Assessing UAV-based laser scanning for monitoring glacial processes and interactions at high spatial and temporal resolutions N. Baurley et al. https://doi.org/10.3389/frsen.2022.1027065
116. How does co-registration affect geomorphic change estimates in multi-temporal surveys? S. Cucchiaro et al. https://doi.org/10.1080/15481603.2020.1763048
117. Identifying mechanisms of shore platform erosion using Structure‐from‐Motion (SfM) photogrammetry Z. Swirad et al. https://doi.org/10.1002/esp.4591