103 citations as recorded by crossref.

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42. Deep learning models integrating multi-sensor and -temporal remote sensing to monitor landslide traces in Vietnam K. Dang et al. https://doi.org/10.1016/j.ijdrr.2024.104391
43. Landslide observation and volume estimation in central Georgia based on L-band InSAR E. Nikolaeva et al. https://doi.org/10.5194/nhess-14-675-2014
44. Landslide Susceptibility Mapping Using Feature Fusion-Based CPCNN-ML in Lantau Island, Hong Kong Y. Chen et al. https://doi.org/10.1109/JSTARS.2021.3066378
45. Prediction of the location of future rupture surfaces of a slowly moving loess landslide by electrical resistivity tomography S. Szalai et al. https://doi.org/10.1111/1365-2478.12421
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47. Use of multi-source remote sensing images to describe the sudden Shanshucao landslide in the Three Gorges Reservoir, China H. Huang et al. https://doi.org/10.1007/s10064-018-1261-2
48. Characterisation of a landslide by its fracture system using Electric Resistivity Tomography and Pressure Probe methods K. Szokoli et al. https://doi.org/10.1007/s40328-017-0199-3
49. Effective and Accelerated Forewarning of Landslides Using Wireless Sensor Networks and Machine Learning T. Hemalatha et al. https://doi.org/10.1109/JSEN.2019.2928358
50. Multitemporal UAV surveys for landslide mapping and characterization G. Rossi et al. https://doi.org/10.1007/s10346-018-0978-0
51. Web data mining for automatic inventory of geohazards at national scale A. Battistini et al. https://doi.org/10.1016/j.apgeog.2013.06.012
52. Delineation of landslide endangered areas and mapping their fracture systems by the pressure probe method S. Szalai et al. https://doi.org/10.1007/s10346-014-0509-6
53. Integrated use of GIS and remote sensing for monitoring landslides in transportation pavements: the case study of Paphos area in Cyprus D. Alexakis et al. https://doi.org/10.1007/s11069-013-0770-3
54. An integrated framework for wide-area active landslide detection with InSAR observations and SAR pixel offsets C. Zhang et al. https://doi.org/10.1007/s10346-022-01954-z
55. Multi-Sensor Satellite Analysis for Landslide Characterization: A Case of Study from Baipaza, Tajikistan F. Poggi et al. https://doi.org/10.3390/rs17122003
56. Geometric and kinematic characterization of landslides affecting urban areas: the Lungro case study (Calabria, Southern Italy) G. Gullà et al. https://doi.org/10.1007/s10346-015-0676-0
57. Slope stability evolution of a deep‐seated landslide considering a constantly deforming topography J. Pfeiffer et al. https://doi.org/10.1002/esp.5527
58. An assessment of Dungale landslide using remotely piloted aircraft system (RPAS), ground penetration radar (GPR), and Slide & RS2 Softwares R. Tandon et al. https://doi.org/10.1007/s11069-022-05334-7
59. 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
60. Validation of landslide hazard models using a semantic engine on online news A. Battistini et al. https://doi.org/10.1016/j.apgeog.2017.03.003
61. Adapting sudden landslide identification product (SLIP) and detecting real-time increased precipitation (DRIP) algorithms to map rainfall-triggered landslides in Western Cameroon highlands (Central-Africa) A. Ngandam Mfondoum et al. https://doi.org/10.1186/s40677-021-00189-9
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68. A photographic method to identify reservoir geohazards induced by rock mass deterioration of hydro-fluctuation belt Z. Dai et al. https://doi.org/10.3389/feart.2024.1365272
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70. Spatial Analysis of Agricultural Land Damage Caused by the July 2025 Extreme Rainfall in the Sindeungcheon Basin, South Korea K. Cho et al. https://doi.org/10.22761/GD.2025.0054
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78. Comparison of Remote Sensing Techniques for Geostructural Analysis and Cliff Monitoring in Coastal Areas of High Tourist Attraction: The Case Study of Polignano a Mare (Southern Italy) L. Loiotine et al. https://doi.org/10.3390/rs13245045
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