112 citations as recorded by crossref.

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2. Measurement on Complex Permittivities of Hydrated Soil, Live and Dead Leaves, Woods, and Stones at Frequency Bands from LF to MF for Landslides Prognostication K. Kumahara et al. https://doi.org/10.1541/ieejeiss.138.94
3. Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark Z. Dong et al. https://doi.org/10.1016/j.isprsjprs.2020.03.013
4. Combining high spatial resolution snow mapping and meteorological analyses to improve forecasting of destructive avalanches in Longyearbyen, Svalbard H. Hancock et al. https://doi.org/10.1016/j.coldregions.2018.05.011
5. DIPHORM: An Innovative DIgital PHOtogrammetRic Monitoring Technique for Detecting Surficial Displacements of Landslides L. Brezzi et al. https://doi.org/10.3390/rs16173199
6. Review of Earth science research using terrestrial laser scanning J. Telling et al. https://doi.org/10.1016/j.earscirev.2017.04.007
7. Estimating the Uncertainty of Terrestrial Laser Scanner Measurements M. Polo et al. https://doi.org/10.1109/TGRS.2012.2192481
8. The full-scale avalanche test-site at Lautaret Pass (French Alps) E. Thibert et al. https://doi.org/10.1016/j.coldregions.2015.03.005
9. Landslides investigations from geoinformatics perspective: quality, challenges, and recommendations S. Pirasteh & J. Li https://doi.org/10.1080/19475705.2016.1238850
10. Data Digitalisation in the Open-Pit Mining Industry: A Scoping Review J. Duarte et al. https://doi.org/10.1007/s11831-020-09493-3
11. Remote sensing monitoring of a coastal-valley earthflow in northwestern Galicia, Spain J. Horacio et al. https://doi.org/10.1016/j.catena.2019.03.028
12. Estimating Individual Tree Height and Diameter at Breast Height (DBH) from Terrestrial Laser Scanning (TLS) Data at Plot Level G. Liu et al. https://doi.org/10.3390/f9070398
13. Use of LiDAR-derived DEM and a stream length-gradient index approach to investigation of landslides in Zagros Mountains, Iran S. Pirasteh et al. https://doi.org/10.1080/10106049.2017.1316779
14. Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory S. Romeo et al. https://doi.org/10.3390/s21082632
15. Application and validation of long-range terrestrial laser scanning to monitor the mass balance of very small glaciers in the Swiss Alps M. Fischer et al. https://doi.org/10.5194/tc-10-1279-2016
16. Morphological and kinematic evolution of a large earthflow: The Montaguto landslide, southern Italy D. Giordan et al. https://doi.org/10.1016/j.geomorph.2012.12.035
17. Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling Á. Török et al. https://doi.org/10.5194/nhess-18-583-2018
18. Use of LIDAR in landslide investigations: a review M. Jaboyedoff et al. https://doi.org/10.1007/s11069-010-9634-2
19. 3-D Deep Feature Construction for Mobile Laser Scanning Point Cloud Registration Z. Zhang et al. https://doi.org/10.1109/LGRS.2019.2910546
20. 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
21. Block and boulder accumulations along the coastline between Fins and Sur (Sultanate of Oman): tsunamigenic remains? G. Hoffmann et al. https://doi.org/10.1007/s11069-012-0399-7
22. Error in target-based georeferencing and registration in terrestrial laser scanning L. Fan et al. https://doi.org/10.1016/j.cageo.2015.06.021
23. Quantifying Effusion Rates at Active Volcanoes through Integrated Time-Lapse Laser Scanning and Photography N. Slatcher et al. https://doi.org/10.3390/rs71114967
24. A Review of Point Cloud Registration Algorithms for Laser Scanners: Applications in Large-Scale Aircraft Measurement H. Si et al. https://doi.org/10.3390/app122010247
25. Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives M. Scaioni et al. https://doi.org/10.3390/rs6109600
26. The atmospheric snow-transport model: SnowDrift3D S. Schneiderbauer & A. Prokop https://doi.org/10.3189/002214311796905677
27. Real-Time Diagnosis of Island Landslides Based on GB-RAR D. Ma et al. https://doi.org/10.3390/jmse8030192
28. Monitoring of large landslides by Terrestrial Laser Scanning techniques: field data collection and processing M. Barbarella & M. Fiani https://doi.org/10.5721/EuJRS20134608
29. Mapping starting zone snow depth with a ground-based lidar to assist avalanche control and forecasting J. Deems et al. https://doi.org/10.1016/j.coldregions.2015.09.002
30. A point cloud registration method based on dual quaternion description with point-linear feature constraints R. Li et al. https://doi.org/10.1080/01431161.2022.2064196
31. Robust Coarse-to-Fine Registration Scheme for Mobile Laser Scanner Point Clouds Using Multiscale Eigenvalue Statistic-Based Descriptor Y. Fu et al. https://doi.org/10.3390/s21072431
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34. TSM—Tracing Surface Motion: A Generic Toolbox for Analyzing Ground-Based Image Time Series of Slope Deformation M. Desrues et al. https://doi.org/10.3390/rs11192189
35. Change Detection and Deformation Analysis in Point Clouds M. Scaioni et al. https://doi.org/10.14358/PERS.79.5.441
36. Landslide detection and inventory by integrating LiDAR data in a GIS environment J. Palenzuela et al. https://doi.org/10.1007/s10346-014-0534-5
37. Evaluation concepts to compare observed and simulated deposition areas of mass movements M. Heiser et al. https://doi.org/10.1007/s10596-016-9609-9
38. Deep Learning for Landslide Detection and Segmentation in High-Resolution Optical Images along the Sichuan-Tibet Transportation Corridor W. Jiang et al. https://doi.org/10.3390/rs14215490
39. Multitemporal UAV-based photogrammetry for landslide detection and monitoring in a large area: a case study in the Heifangtai terrace in the Loess Plateau of China Q. Xu et al. https://doi.org/10.1007/s11629-020-6064-9
40. Improving a terrain-based parameter for the assessment of snow depths with TLS data in the Col du Lac Blanc area P. Schön et al. https://doi.org/10.1016/j.coldregions.2015.02.005
41. A new methodology for planning snow drift fences in alpine terrain A. Prokop & E. Procter https://doi.org/10.1016/j.coldregions.2016.09.010
42. Control of landslide retrogression by discontinuities: evidence by the integration of airborne- and ground-based geophysical information J. Travelletti et al. https://doi.org/10.1007/s10346-011-0310-8
43. Exploring the dynamics of a complex, slow-moving landslide in the Austrian Flysch Zone with 4D surface and subsurface information M. Stumvoll et al. https://doi.org/10.1016/j.catena.2022.106203
44. Landslide monitoring using multitemporal terrestrial laser scanning for ground displacement analysis M. Barbarella et al. https://doi.org/10.1080/19475705.2013.863808
45. Dynamic characterization of a slow-moving landslide system – Assessing the challenges of small process scales utilizing multi-temporal TLS data M. Stumvoll et al. https://doi.org/10.1016/j.geomorph.2021.107803
46. Integration of terrestrial and UAV-based remote sensing techniques for comprehensive rock mass characterization in small-scale slopes S. Fatolahzadeh et al. https://doi.org/10.1007/s10064-026-05056-1
47. Image-based correlation of Laser Scanning point cloud time series for landslide monitoring J. Travelletti et al. https://doi.org/10.1016/j.jag.2014.03.022
48. Comparing terrestrial laser scanning and unmanned aerial vehicle structure from motion to assess top of canopy structure in tropical forests S. Roşca et al. https://doi.org/10.1098/rsfs.2017.0038
49. Monitoring Slope Movement and Soil Hydrologic Behavior Using IoT and AI Technologies: A Systematic Review M. Alam et al. https://doi.org/10.3390/hydrology11080111
50. Tree Stem Shapes Derived from TLS Data as an Indicator for Shallow Landslides D. Wang et al. https://doi.org/10.1016/j.proeps.2016.10.020
51. Landslide detection and characterization using terrestrial 3D laser scanning (LiDAR) M. Ozdogan https://doi.org/10.13168/AGG.2019.0032
52. Evaluation of the dynamic processes of a landslide with laser scanners and Bayesian methods A. Guarnieri et al. https://doi.org/10.1080/19475705.2014.983553
53. Determining the Deformation Monitorable Indicator of Point Cloud Using Error Ellipsoid W. Xuan et al. https://doi.org/10.1007/s12524-016-0580-7
54. Derivation of Three-Dimensional Displacement Vectors from Multi-Temporal Long-Range Terrestrial Laser Scanning at the Reissenschuh Landslide (Tyrol, Austria) J. Pfeiffer et al. https://doi.org/10.3390/rs10111688
55. Movement and Erosion Quantification of Large Landslide through Terrestrial Laser Scanning M. Hu et al. https://doi.org/10.4028/www.scientific.net/AMR.838-841.1985
56. Analysing post-earthquake mass movement volume dynamics with multi-source DEMs C. Tang et al. https://doi.org/10.1016/j.enggeo.2018.11.010
57. Analysis of Accuracy and Productivity of Terrestrial Laser Scanner for Earthwork S. Kim & J. Park https://doi.org/10.5392/JKCA.2015.15.10.587
58. Assessment of sediment sources throughout the proglacial area of a small Arctic catchment based on high-resolution digital elevation models W. Kociuba https://doi.org/10.1016/j.geomorph.2016.09.011
59. Application of Laser Scanning Technology in Geotechnical Works on Reconstruction of Draw Spans of the Palace Bridge in Saint Petersburg N. Kanashin et al. https://doi.org/10.1016/j.proeng.2017.05.062
60. Merging a terrain-based parameter with blowing snow fluxes for assessing snow redistribution in alpine terrain P. Schön et al. https://doi.org/10.1016/j.coldregions.2018.08.002
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62. Monitoring the Potoška planina landslide (NW Slovenia) using UAV photogrammetry and tachymetric measurements T. Peternel et al. https://doi.org/10.1007/s10346-016-0759-6
63. 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
64. Terrestrial laser scanner and geomechanical surveys for the rapid evaluation of rock fall susceptibility scenarios G. Gigli et al. https://doi.org/10.1007/s10346-012-0374-0
65. A Direct Georeferencing Method for Terrestrial Laser Scanning Using GNSS Data and the Vertical Deflection from Global Earth Gravity Models E. Osada et al. https://doi.org/10.3390/s17071489
66. Topographic transformations and coastal implications: assessing the impact of the 2024 Noto earthquake S. Buya & H. Gokon https://doi.org/10.1080/21664250.2025.2540718
67. Estimation of Diameter at Breast Height in Tropical Forests Based on Terrestrial Laser Scanning and Shape Diameter Function Y. Wu et al. https://doi.org/10.3390/su16062275
68. Indoor Multi-Sensor Acquisition System for Projects on Energy Renovation of Buildings J. Armesto et al. https://doi.org/10.3390/s16060785
69. JoKDNet: A joint keypoint detection and description network for large-scale outdoor TLS point clouds registration Y. Wang et al. https://doi.org/10.1016/j.jag.2021.102534
70. A method for the calculation of Detectable Landslide using Terrestrial Laser Scanning data X. Chen et al. https://doi.org/10.1016/j.measurement.2020.107852
71. HOVE-Wedge-Filtering of Geomorphologic Terrestrial Laser Scan Data H. Panholzer & A. Prokop https://doi.org/10.3390/app8020263
72. Hierarchical registration of unordered TLS point clouds based on binary shape context descriptor Z. Dong et al. https://doi.org/10.1016/j.isprsjprs.2018.06.018
73. Terrestrial laserscanning of tidal flats—a case study in Jiangsu Province, China B. Thiebes et al. https://doi.org/10.1007/s11852-013-0282-z
74. An Accurate TLS and UAV Image Point Clouds Registration Method for Deformation Detection of Chaotic Hillside Areas Y. Zang et al. https://doi.org/10.3390/rs11060647
75. Calculation of 3D displacement and time to failure of an earth dam using DIC analysis of hillshade images derived from high temporal resolution point cloud data N. Berg et al. https://doi.org/10.1007/s10346-019-01284-7
76. Soil aggregate stability and size-selective sediment transport with surface runoff as affected by organic residue amendment P. Shi et al. https://doi.org/10.1016/j.scitotenv.2017.07.008
77. Long‐range terrestrial laser scanning for geomorphological change detection in alpine terrain – handling uncertainties C. Fey & V. Wichmann https://doi.org/10.1002/esp.4022
78. Merging terrestrial laser scanning technology with photogrammetric and total station data for the determination of avalanche modeling parameters A. Prokop et al. https://doi.org/10.1016/j.coldregions.2014.11.009
79. Icings: Their Structure and Influence on the Hydrological Network of a Small Arctic Glacier Forefield É. Bernard et al. https://doi.org/10.1002/ppp.2281
80. Wedge-Filtering of Geomorphologic Terrestrial Laser Scan Data H. Panholzer & A. Prokop https://doi.org/10.3390/s130202579
81. Multi-temporal analysis of morphologic changes applying geomatic techniques. 70 years of torrential activity in the Rebaixader catchment (Central pyrenees) M. Núñez-Andrés et al. https://doi.org/10.1080/19475705.2018.1523235
82. Identification of Streamside Landslides with the Use of Unmanned Aerial Vehicles (UAVs) in Greece, Romania, and Turkey M. Yavuz et al. https://doi.org/10.3390/rs15041006
83. Quantifying seasonal cornice dynamics using a terrestrial laser scanner in Svalbard, Norway H. Hancock et al. https://doi.org/10.5194/nhess-20-603-2020
84. Satellite stereoscopic pair images of very high resolution: a step forward for the development of landslide inventories F. Murillo-García et al. https://doi.org/10.1007/s10346-014-0473-1
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100. Uncertainty in Terrestrial Laser Scanner Surveys of Landslides M. Barbarella et al. https://doi.org/10.3390/rs9020113
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103. Research on crack monitoring at the trailing edge of landslides based on image processing H. Wang et al. https://doi.org/10.1007/s10346-019-01335-z
104. Investigating snowpack volumes and icing dynamics in the moraine of an Arctic catchment using UAV photogrammetry É. Bernard et al. https://doi.org/10.1111/phor.12217
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111. Uncertainty assessment of a permanent long-range terrestrial laser scanning system for the quantification of snow dynamics on Hintereisferner (Austria) A. Voordendag et al. https://doi.org/10.3389/feart.2023.1085416
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