93 citations as recorded by crossref.

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37. Evaluation of machine learning-based algorithms for landslide detection across satellite sensors for the 2019 Cyclone Idai event, Chimanimani District, Zimbabwe R. Das & K. Wegmann https://doi.org/10.1007/s10346-022-01912-9
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46. 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
47. The effects of Typhoon Morakot on concentration of airborne particulates derived from unvegetated riverbanks K. Lin et al. https://doi.org/10.1007/s11069-014-1196-2
48. Analysis of 2016 Minamiaso landslides using remote sensing and geographic information system J. Kim & K. Kim https://doi.org/10.1117/1.JRS.12.036001
49. Relationship between Disaster Shock Experience and Farmers’ Entrepreneurial Inclination: Crisis or Opportunity? L. Zhang et al. https://doi.org/10.3390/agriculture13071406
50. Inventory of shallow landslides triggered by extreme precipitation in July 2023 in Beijing, China H. Ma & F. Wang https://doi.org/10.1038/s41597-024-03901-0
51. Automated Spatiotemporal Landslide Mapping over Large Areas Using RapidEye Time Series Data R. Behling et al. https://doi.org/10.3390/rs6098026
52. Application of Unmanned Aerial Vehicle (UAV)-Acquired Topography for Quantifying Typhoon-Driven Landslide Volume and Its Potential Topographic Impact on Rivers in Mountainous Catchments K. Chang et al. https://doi.org/10.3390/app10176102
53. Contrasting Fates of Petrogenic and Biospheric Carbon in the South China Sea T. Blattmann et al. https://doi.org/10.1029/2018GL079222
54. Analysis the Typhoon Eyes of Megi from MTSAT Satellite Cloud Images with 3-D Profile Reconstruction Y. Lee et al. https://doi.org/10.4018/jdls.2011070105
55. 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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59. Landslide manual and automated inventories, and susceptibility mapping using LIDAR in the forested mountains of Guerrero, Mexico K. Gaidzik et al. https://doi.org/10.1080/19475705.2017.1292560
60. Mapping and Analyzing the Evolution of the Butangbunasi Landslide Using Landsat Time Series with Respect to Heavy Rainfall Events during Typhoons D. Hölbling et al. https://doi.org/10.3390/app10020630
61. Change Detection in Remote Sensing Imagery: A Systematic Review of Statistical, Machine Learning, and Deep Learning Methods M. Jabbarizadegan & P. Fraternali https://doi.org/10.3390/rs18152573
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68. Rapid Mapping of Slow-Moving Landslides Using an Automated SAR Processing Platform (HyP3) and Stacking-InSAR Method Y. Yi et al. https://doi.org/10.3390/rs15061611
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70. Erosion effects assessed by repeated gravity measurements in southern Taiwan M. Mouyen et al. https://doi.org/10.1093/gji/ggs019
71. Input Modality Ablation for Sustainable Landslide Hazard Management Using U-Net: Fused DEM–Optical vs. Spectral vs. Terrain Representations in a Small-Sample Pilot Study W. Chen & F. Tsai https://doi.org/10.3390/su18136649
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78. Rapid Mapping of Landslides Induced by Heavy Rainfall in the Emilia-Romagna (Italy) Region in May 2023 M. Ferrario & F. Livio https://doi.org/10.3390/rs16010122
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