82 citations as recorded by crossref.

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2. Implementation of a Pit Slope-Monitoring Network for Inactive Open-Pit Mines Using Photogrammetry R. Preston https://doi.org/10.1007/s00603-021-02417-y
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4. 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
5. 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
6. Integration of Terrestrial Laser Scanning and NURBS Modeling for the Deformation Monitoring of an Earth-Rock Dam H. Xu et al. https://doi.org/10.3390/s19010022
7. New Approach for Photogrammetric Rock Slope Premonitory Movements Monitoring M. Núñez-Andrés et al. https://doi.org/10.3390/rs15020293
8. Integrating field measurements, a geomorphological map and stochastic modelling to estimate the spatially distributed rockfall sediment budget of the Upper Kaunertal, Austrian Central Alps T. Heckmann et al. https://doi.org/10.1016/j.geomorph.2015.07.003
9. Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives M. Scaioni et al. https://doi.org/10.3390/rs6109600
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12. Deep Learning Applied to Vegetation Identification and Removal Using Multidimensional Aerial Data M. F. Pinto et al. https://doi.org/10.3390/s20216187
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20. The “Salcher” landslide observatory—experimental long-term monitoring in the Flysch Zone of Lower Austria M. Stumvoll et al. https://doi.org/10.1007/s10064-019-01632-w
21. Integrating radar and laser-based remote sensing techniques for monitoring structural deformation of archaeological monuments D. Tapete et al. https://doi.org/10.1016/j.jas.2012.07.024
22. Initiation mechanism and quantitative mass movement analysis of the 2019 Shuicheng catastrophic landslide J. Zhou et al. https://doi.org/10.1144/qjegh2020-052
23. Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning N. Casagli et al. https://doi.org/10.1186/s40677-017-0073-1
24. Managing rockfall risk through baseline monitoring of precursors using a terrestrial laser scanner R. Kromer et al. https://doi.org/10.1139/cgj-2016-0178
25. Using terrestrial LiDAR to measure water erosion on stony plots under simulated rainfall L. Li et al. https://doi.org/10.1002/esp.4749
26. Emergent characteristics of rockfall inventories captured at a regional scale J. Benjamin et al. https://doi.org/10.1002/esp.4929
27. Identifying rock slope failure precursors using LiDAR for transportation corridor hazard management R. Kromer et al. https://doi.org/10.1016/j.enggeo.2015.05.012
28. 3D model of the Turka quarry I. Bubniak et al. https://doi.org/10.23939/istcgcap2023.97.005
29. The Suitability of UAV-Derived DSMs and the Impact of DEM Resolutions on Rockfall Numerical Simulations: A Case Study of the Bouanane Active Scarp, Tétouan, Northern Morocco A. Bounab et al. https://doi.org/10.3390/rs14246205
30. Quantifying Effusion Rates at Active Volcanoes through Integrated Time-Lapse Laser Scanning and Photography N. Slatcher et al. https://doi.org/10.3390/rs71114967
31. A comparison of terrestrial laser scanning and structure-from-motion photogrammetry as methods for digital outcrop acquisition M. Wilkinson et al. https://doi.org/10.1130/GES01342.1
32. Estimation of the return period of rockfall blocks according to their size V. De Biagi et al. https://doi.org/10.5194/nhess-17-103-2017
33. Comparing rockfall scar volumes and kinematically detachable rock masses O. Mavrouli & J. Corominas https://doi.org/10.1016/j.enggeo.2016.08.013
34. Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences J. Eitel et al. https://doi.org/10.1016/j.rse.2016.08.018
35. Rockfall Magnitude-Frequency Relationship Based on Multi-Source Data from Monitoring and Inventory M. Janeras et al. https://doi.org/10.3390/rs15081981
36. On the Link Between External Forcings and Slope Instabilities in the Piton de la Fournaise Summit Crater, Reunion Island V. Durand et al. https://doi.org/10.1029/2017JF004507
37. UAV-Based Aerial Photogrammetry and Remote Sensing Methods for Landslide Monitoring: A Review R. Prajapati & P. Mohanty https://doi.org/10.1007/s13369-025-10948-7
38. Computational and methodological aspects of terrestrial surface analysis based on point clouds I. Rychkov et al. https://doi.org/10.1016/j.cageo.2012.02.011
39. Stability against toppling of a single rock block resting on an irregular rough base J. Gui et al. https://doi.org/10.1007/s12665-024-11931-5
40. RETRACTED: SHREC 2021: 3D point cloud change detection for street scenes T. Ku et al. https://doi.org/10.1016/j.cag.2021.07.004
41. An approach for automated lithological classification of point clouds G. Walton et al. https://doi.org/10.1130/GES01326.1
42. Automatic identification and characterization of discontinuities in rock masses from 3D point clouds D. Kong et al. https://doi.org/10.1016/j.enggeo.2019.105442
43. Comparative Analysis of the Unmanned Aerial Vehicles and Terrestrial Laser Scanning Application for Coastal Zone Monitoring A. Danchenkov & N. Belov https://doi.org/10.2205/2023ES000854
44. Rockfall-YOLO Deep Learning Model for Rockfall Motion Object Detection G. Su et al. https://doi.org/10.1061/JCCEE5.CPENG-6268
45. Development of an elliptical fitting algorithm to improve change detection capabilities with applications for deformation monitoring in circular tunnels and shafts G. Walton et al. https://doi.org/10.1016/j.tust.2014.05.014
46. Point Cloud Stacking: A Workflow to Enhance 3D Monitoring Capabilities Using Time-Lapse Cameras X. Blanch et al. https://doi.org/10.3390/rs12081240
47. The role of beach morphology on coastal cliff erosion under extreme waves C. Earlie et al. https://doi.org/10.1002/esp.4308
48. Analysis of a Large Rock Slope Failure on the East Wall of the LAB Chrysotile Mine in Canada: LiDAR Monitoring and Displacement Analyses P. Caudal et al. https://doi.org/10.1007/s00603-016-1145-3
49. Structural monitoring for the rail industry using conventional survey, laser scanning and photogrammetry A. Soni et al. https://doi.org/10.1007/s12518-015-0156-1
50. Automatic extraction of rock discontinuity orientations from 3D point clouds via an adaptive clustering and surface fitting approach M. Ren et al. https://doi.org/10.1016/j.ijrmms.2025.106246
51. Convergence-Related Serviceability Limit States of Segmental Tunnel Rings: Lessons Learned from Structural Analysis of Real-Scale Tests Z. Jiang et al. https://doi.org/10.3390/app14135483
52. Synergic use of satellite and ground based remote sensing methods for monitoring the San Leo rock cliff (Northern Italy) W. Frodella et al. https://doi.org/10.1016/j.geomorph.2016.04.008
53. Significance of rockfall magnitude and carbonate dissolution for rock slope erosion and geomorphic work on Alpine limestone cliffs (Reintal, German Alps) M. Krautblatter et al. https://doi.org/10.1016/j.geomorph.2012.04.007
54. Monitoring and modeling slope dynamics in an Alpine watershed – a combined approach of soil science, remote sensing and geomorphology F. Neugirg et al. https://doi.org/10.5194/piahs-371-181-2015
55. Low-Cost Sensor-Based and LoRaWAN Opportunities for Landslide Monitoring Systems on IoT Platform: A Review S. Bagwari et al. https://doi.org/10.1109/ACCESS.2021.3137841
56. Landslide Deformation Extraction from Terrestrial Laser Scanning Data with Weighted Least Squares Regularization Iteration Solution L. Zhao et al. https://doi.org/10.3390/rs14122897
57. The Importance of Monitoring Interval for Rockfall Magnitude‐Frequency Estimation J. Williams et al. https://doi.org/10.1029/2019JF005225
58. Alpine rockwall erosion patterns follow elevation-dependent climate trajectories D. Draebing et al. https://doi.org/10.1038/s43247-022-00348-2
59. Impact of data structure types and spatial resolution on landslide volumetric change measurements J. Šašak et al. https://doi.org/10.3846/gac.2024.20647
60. 3D photogrammetry as a tool for studying erosive processes at a Roman coastal site: the case of the Roman fish-salting plant at Sobreira (Vigo, Spain) A. Fernández et al. https://doi.org/10.1007/s12520-022-01508-3
61. Rock Slopes Asset Management: Selecting the Optimal Three-Dimensional Remote Sensing Technology M. Lato et al. https://doi.org/10.3141/2510-02
62. Morphological changes in the beach-foredune system caused by a series of storms. Terrestrial laser scanning evaluation A. Danchenkov & N. Belov https://doi.org/10.2205/2019ES000665
63. Extraction and Comparison of Spatial Statistics For Geometric Parameters of Sedimentary Layers from Static and Mobile Terrestrial Laser Scanning Data G. Walton et al. https://doi.org/10.2113/EEG-2068
64. Wireless Sensor Network-Based Rockfall and Landslide Monitoring Systems: A Review M. Ragnoli et al. https://doi.org/10.3390/s23167278
65. SHREC 2023: Point cloud change detection for city scenes Y. Gao et al. https://doi.org/10.1016/j.cag.2023.06.025
66. Extracting of six Deformation Parameters Using Improved ICP Matching Based on Terrestrial Laser Scanning Data X. Chen et al. https://doi.org/10.1007/s12524-016-0574-5
67. 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
68. Influence of engineering and geodynamic processes on stability of transport infrastructure S. Djabbarov et al. https://doi.org/10.1051/e3sconf/202340101082
69. A state-of-the-art review of automated extraction of rock mass discontinuity characteristics using three-dimensional surface models R. Battulwar et al. https://doi.org/10.1016/j.jrmge.2021.01.008
70. Magnitude–frequency relation for rockfall scars using a Terrestrial Laser Scanner D. Santana et al. https://doi.org/10.1016/j.enggeo.2012.07.001
71. Back Analysis of the 2014 San Leo Landslide Using Combined Terrestrial Laser Scanning and 3D Distinct Element Modelling M. Spreafico et al. https://doi.org/10.1007/s00603-015-0763-5
72. Near-real-time automated classification of seismic signals of slope failures with continuous random forests M. Wenner et al. https://doi.org/10.5194/nhess-21-339-2021
73. Automatic identification of rock discontinuity and stability analysis of tunnel rock blocks using terrestrial laser scanning M. Wang et al. https://doi.org/10.1016/j.jrmge.2022.12.015
74. Terrestrial laser scanning observations of geomorphic changes and varying lava lake levels at Erebus volcano, Antarctica L. Jones et al. https://doi.org/10.1016/j.jvolgeores.2015.02.011
75. The Status of Earth Observation Techniques in Monitoring High Mountain Environments at the Example of Pasterze Glacier, Austria: Data, Methods, Accuracies, Processes, and Scales M. Avian et al. https://doi.org/10.3390/rs12081251
76. Hyperconcentrated flows shape bedrock channels V. Stammberger et al. https://doi.org/10.1038/s43247-024-01353-3
77. 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
78. Quantification of Overnight Movement of Birch (Betula pendula) Branches and Foliage with Short Interval Terrestrial Laser Scanning E. Puttonen et al. https://doi.org/10.3389/fpls.2016.00222
79. Safeguarding Cultural Heritage: Integrating laser scanning, InSAR, vibration monitoring and rockfall/granular flow runout modelling at the Temple of Hatshepsut, Egypt B. Jacobs et al. https://doi.org/10.5194/esurf-14-55-2026
80. Review of Earth science research using terrestrial laser scanning J. Telling et al. https://doi.org/10.1016/j.earscirev.2017.04.007
81. 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
82. Erosion status of a sea cliff promontory bounding an ecologically important beach P. Theodore et al. https://doi.org/10.1007/s11852-020-00756-6