55 citations as recorded by crossref.

1. Earth Observations for Geohazards: Present and Future Challenges R. Tomás & Z. Li https://doi.org/10.3390/rs9030194
2. Reconstructing the Geometry of the Yushu Fault in the Tibetan Plateau Using TLS, GPR and Trenching D. Zhang et al. https://doi.org/10.3390/rs15081994
3. Relationship between man-made environment and slope stability: the case of 2014 rainfall events in the terraced landscape of the Liguria region (northwestern Italy) D. Giordan et al. https://doi.org/10.1080/19475705.2017.1391129
4. Long-term Monitoring of zigzag-shaped concrete panel in retaining structure using laser scanning and analysis of influencing factors H. Seo https://doi.org/10.1016/j.optlaseng.2020.106498
5. Assessment of the Evolution of a Landslide Using Digital Photogrammetry and LiDAR Techniques in the Alpujarras Region (Granada, Southeastern Spain) T. Fernández et al. https://doi.org/10.3390/geosciences7020032
6. Identification and Visualization of the Full-Ring Deformation Characteristics of a Large Stormwater Sewage and Storage Tunnel Using Terrestrial Laser Scanning Technology Z. Zhang et al. https://doi.org/10.3390/en12071304
7. Uncertainty in Terrestrial Laser Scanner Surveys of Landslides M. Barbarella et al. https://doi.org/10.3390/rs9020113
8. Generating landslide inventory by participatory mapping: an example in Purwosari Area, Yogyakarta, Java G. Samodra et al. https://doi.org/10.1016/j.geomorph.2015.07.035
9. Landslide monitoring using multitemporal terrestrial laser scanning for ground displacement analysis M. Barbarella et al. https://doi.org/10.1080/19475705.2013.863808
10. Spatial and temporal variations in rockfall determined from TLS measurements in a deglaciated valley, Switzerland J. Strunden et al. https://doi.org/10.1002/2014JF003274
11. “Use of 3D Point Clouds in Geohazards” Special Issue: Current Challenges and Future Trends A. Abellan et al. https://doi.org/10.3390/rs8020130
12. Effect of the construction of ski runs on changes in relief in a mountain catchment (Inner Carpathians, Southern Poland) J. Fidelus-Orzechowska et al. https://doi.org/10.1016/j.scitotenv.2018.02.305
13. Characterizing and monitoring landslide processes using remote sensing and geophysics M. Jaboyedoff et al. https://doi.org/10.1016/j.enggeo.2019.105167
14. A Combined Methodology for Landslide Risk Mitigation in Basilicata Region by Using LIDAR Technique and Rockfall Simulation G. Colangelo & A. Guariglia https://doi.org/10.1155/2011/392676
15. Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR-derived DEMs S. Pirasteh & J. Li https://doi.org/10.1186/s40677-017-0083-z
16. Potential of airborne LiDAR data analysis to detect subtle landforms of slope failure: Portainé, Central Pyrenees M. Ortuño et al. https://doi.org/10.1016/j.geomorph.2017.07.015
17. Bayesian framework for mapping and classifying shallow landslides exploiting remote sensing and topographic data A. Mondini et al. https://doi.org/10.1016/j.geomorph.2013.06.015
18. Application of airborne laser scanning and electrical resistivity tomography in the study of an active landslide and geology of the cliff, Jastrzębia Góra, Poland M. Kamiński et al. https://doi.org/10.1007/s10064-023-03153-z
19. Electrical resistivity tomography and digital aerial photogrammetry in the research of the “Bachledzki Hill” active landslide – in Podhale (Poland) M. Kamiński et al. https://doi.org/10.1016/j.enggeo.2021.106004
20. Rock bench: Establishing a common repository and standards for assessing rockmass characteristics using LiDAR and photogrammetry M. Lato et al. https://doi.org/10.1016/j.cageo.2012.06.014
21. High-resolution topography for understanding Earth surface processes: Opportunities and challenges P. Tarolli https://doi.org/10.1016/j.geomorph.2014.03.008
22. Applications of terrestrial laser scanning for tunnels: a review W. Wang et al. https://doi.org/10.1016/S2095-7564(15)30279-8
23. An application of the geophysical methods and ALS DTM for the identification of the geological structure in the Kraśnik region – Lublin Upland, Poland M. Kamiński et al. https://doi.org/10.1051/e3sconf/20172401005
24. Using Field-Based Monitoring to Enhance the Performance of Rainfall Thresholds for Landslide Warning M. Abraham et al. https://doi.org/10.3390/w12123453
25. 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
26. Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models N. Prakash et al. https://doi.org/10.3390/rs12030346
27. 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
28. Tilt mapping for zigzag-shaped concrete panel in retaining structure using terrestrial laser scanning H. Seo https://doi.org/10.1007/s13349-021-00484-x
29. Application of a multi‐temporal, LiDAR‐derived, digital terrain model in a landslide‐volume estimation C. Tseng et al. https://doi.org/10.1002/esp.3454
30. Evaluation of landslide susceptibility mapping techniques using lidar-derived conditioning factors (Oregon case study) R. Mahalingam et al. https://doi.org/10.1080/19475705.2016.1172520
31. Delineating and defining the boundaries of an active landslide in the rainforest of Puerto Rico using a combination of airborne and terrestrial LIDAR data G. Wang et al. https://doi.org/10.1007/s10346-013-0400-x
32. Landslide inventory maps: New tools for an old problem F. Guzzetti et al. https://doi.org/10.1016/j.earscirev.2012.02.001
33. Integration of Terrestrial Laser Scanner (TLS) and Ground Penetrating Radar (GPR) to Characterize the Three-Dimensional (3D) Geometry of the Maoyaba Segment of the Litang Fault, Southeastern Tibetan Plateau D. Zhang et al. https://doi.org/10.3390/rs14246394
34. Landslides investigations from geoinformatics perspective: quality, challenges, and recommendations S. Pirasteh & J. Li https://doi.org/10.1080/19475705.2016.1238850
35. IoT-Based Geotechnical Monitoring of Unstable Slopes for Landslide Early Warning in the Darjeeling Himalayas M. Abraham et al. https://doi.org/10.3390/s20092611
36. 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
37. 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
38. 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
39. Point Cloud Stacking: A Workflow to Enhance 3D Monitoring Capabilities Using Time-Lapse Cameras X. Blanch et al. https://doi.org/10.3390/rs12081240
40. 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
41. 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
42. Assessment and comparison of landslide susceptibility at open-pit mines in North Korea using GIS O. Myeongchan et al. https://doi.org/10.1088/1755-1315/509/1/012041
43. Landslide detection and characterization using terrestrial 3D laser scanning (LiDAR) M. Ozdogan https://doi.org/10.13168/AGG.2019.0032
44. Use of LIDAR in landslide investigations: a review M. Jaboyedoff et al. https://doi.org/10.1007/s11069-010-9634-2
45. Deep learning approaches for landslide information recognition: Current scenario and opportunities N. Chandra & H. Vaidya https://doi.org/10.1007/s12040-024-02281-8
46. 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
47. An Integrated Approach for Earth Infrastructure Monitoring Using UAV and ERI: A Systematic Review U. Igwenagu et al. https://doi.org/10.3390/drones9030225
48. 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
49. Data Fusion Technique Using Wavelet Transform and Taguchi Methods for Automatic Landslide Detection From Airborne Laser Scanning Data and QuickBird Satellite Imagery B. Pradhan et al. https://doi.org/10.1109/TGRS.2015.2484325
50. LSI-YOLOv8: An Improved Rapid and High Accuracy Landslide Identification Model Based on YOLOv8 From Remote Sensing Images X. Chen et al. https://doi.org/10.1109/ACCESS.2024.3426040
51. 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
52. The Use of Innovative Techniques for Management of High-Risk Coastal Areas, Mitigation of Earthquake-Triggered Landslide Risk and Responsible Coastal Development S. Mavroulis et al. https://doi.org/10.3390/app12042193
53. New Empirical Laws in Geosciences: A Successful Proposal J. Díaz-Curiel et al. https://doi.org/10.3390/app131810321
54. Deep convolutional neural network–based pixel-wise landslide inventory mapping Z. Su et al. https://doi.org/10.1007/s10346-020-01557-6
55. The Impact of Quality of Digital Elevation Models on the Result of Landslide Susceptibility Modeling Using the Method of Weights of Evidence M. Kamiński https://doi.org/10.3390/geosciences10120488