88 citations as recorded by crossref.

1. Evaluation of landslides process and potential in Shenmu sub-watersheds, central Taiwan B. Lin et al.
2. Effective and Accelerated Forewarning of Landslides Using Wireless Sensor Networks and Machine Learning T. Hemalatha et al.
3. DEM generation from contours and a low-resolution DEM X. Li et al.
4. Seasonal landslide mapping and estimation of landslide mobilization rates using aerial and satellite images F. Fiorucci et al.
5. Disaster-Caused Power Outage Detection at Night Using VIIRS DNB Images H. Cui et al.
6. Exploring the Spatial Characteristics of Typhoon-Induced Vegetation Damages in the Southeast Coastal Area of China from 2000 to 2018 L. Lu et al.
7. Synergic use of Sentinel-1 and Sentinel-2 data for automatic detection of earthquake-triggered landscape changes: A case study of the 2016 Kaikoura earthquake (Mw 7.8), New Zealand J. Jelének & V. Kopačková-Strnadová
8. Advanced deep learning–based approaches for semantic segmentation in precise landslide detection and susceptibility assessment F. Rezaie et al.
9. Object‑oriented landslide identification and susceptibility assessment for the Jiuzhaigou earthquake by integrating NDVI difference Q. Tang et al.
10. Inventory of landslides triggered by an extreme rainfall event in Marche-Umbria, Italy, on 15 September 2022 M. Santangelo et al.
11. Rehabilitating coastal agriculture and aquaculture after inundation events: Spatial analysis of livelihood recovery in post-tsunami Aceh, Indonesia P. Daly et al.
12. Detecting and monitoring long-term landslides in urbanized areas with nighttime light data and multi-seasonal Landsat imagery across Taiwan from 1998 to 2017 T. Chen et al.
13. On the Detection of Possible Landslides in Post-Event Satellite Images: A Probability Map Approach M. Fauzi et al.
14. The Use of TERRA-ASTER Satellite for Landslide Detection F. Vecchiotti et al.
15. Separating Landslide Source and Runout Signatures with Topographic Attributes and Data Mining to Increase the Quality of Landslide Inventory J. Lai
16. Landslide characteristics in the area of Xiaolin Village during Morakot typhoon Y. Deng et al.
17. Sustainable Management of a Mountain Community Vulnerable to Geohazards: A Case Study of Maolin District, Taiwan J. Harrison & C. Chang
18. Advanced Digital Technologies in the Post-Disaster Reconstruction Process—A Review Leveraging Small Language Models A. Rawat et al.
19. An integrated approach to model seismic loss for the Himalayan infrastructure projects: Decision-making and functionality concept for disaster mitigation A. Ansari et al.
20. Landslide mapping with remote sensing: challenges and opportunities C. Zhong et al.
21. Spatiotemporal landslide evolution in upper Indian Himalayas post the great 2013 disaster using modified SALaD-CD framework A. Chowdhury & A. Bhardwaj
22. Satellite-based emergency mapping using optical imagery: experience and reflections from the 2015 Nepal earthquakes J. Williams et al.
23. Semiautomatic Object-Oriented Landslide Recognition Scheme From Multisensor Optical Imagery and DEM J. Rau et al.
24. Semantics-Constrained Advantageous Information Selection of Multimodal Spatiotemporal Data for Landslide Disaster Assessment Q. Zhu et al.
25. Exploring Influence of Sampling Strategies on Event-Based Landslide Susceptibility Modeling J. Lai et al.
26. Application of landscape metrics and a Markov chain model to assess land cover changes within a forested watershed, Taiwan C. Yeh & S. Liaw
27. Review: Monitoring of land cover changes and plant phenology by remote‐sensing in East Asia N. Shin et al.
28. Comparison of pixel, sub-pixel and object-based image analysis techniques for co-seismic landslides detection in seismically active area in Lesser Himalaya, Pakistan S. Saba et al.
29. Derivation of long-term spatiotemporal landslide activity—A multi-sensor time series approach R. Behling et al.
30. Analysis of topographic and vegetative factors with data mining for landslide verification F. Tsai et al.
31. Terrain attributes of earthquake‐ and rainstorm‐induced landslides in orogenic mountain Belt, Taiwan J. Huang et al.
32. Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images A. Mondini et al.
33. Landslide inventory maps: New tools for an old problem F. Guzzetti et al.
34. Reviews and Syntheses: Promoting the Advancement of Hillslope Hydrology and Stability in Taiwan from the Perspective of Critical Zone Science Y. Yang et al.
35. Spatial distribution characteristics of climate-induced landslides in the Eastern Himalayas D. Uwizeyimana et al.
36. 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
37. Automatic mapping of event landslides at basin scale in Taiwan using a Montecarlo approach and synthetic land cover fingerprints A. Mondini et al.
38. Physically Based Susceptibility Assessment of Rainfall-Induced Shallow Landslides Using a Fuzzy Point Estimate Method H. Park et al.
39. Creating infrastructure for seismic microzonation by Geographical Information Systems (GIS): A case study in the North Anatolian Fault Zone (NAFZ) T. Turk et al.
40. Relating Vegetation Dynamics to Climate Variables in Taiwan Using 1982–2012 NDVI3g Data H. Tsai & M. Yang
41. The long-term effect of typhoons on vascular epiphytes in Taiwan R. Hsu et al.
42. Preliminary results from active landslide monitoring using multidisciplinary surveys K. Nikolakopoulos et al.
43. Bayesian framework for mapping and classifying shallow landslides exploiting remote sensing and topographic data A. Mondini et al.
44. 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.
45. The effects of Typhoon Morakot on concentration of airborne particulates derived from unvegetated riverbanks K. Lin et al.
46. Analysis of 2016 Minamiaso landslides using remote sensing and geographic information system J. Kim & K. Kim
47. Relationship between Disaster Shock Experience and Farmers’ Entrepreneurial Inclination: Crisis or Opportunity? L. Zhang et al.
48. Inventory of shallow landslides triggered by extreme precipitation in July 2023 in Beijing, China H. Ma & F. Wang
49. Automated Spatiotemporal Landslide Mapping over Large Areas Using RapidEye Time Series Data R. Behling et al.
50. 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.
51. Contrasting Fates of Petrogenic and Biospheric Carbon in the South China Sea T. Blattmann et al.
52. Analysis the Typhoon Eyes of Megi from MTSAT Satellite Cloud Images with 3-D Profile Reconstruction Y. Lee et al.
53. Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives M. Scaioni et al.
54. HazMapper: a global open-source natural hazard mapping application in Google Earth Engine C. Scheip & K. Wegmann
55. Abrupt state change of river water quality (turbidity): Effect of extreme rainfalls and typhoons C. Lee et al.
56. Applications of geographical information systems and remote sensing in natural disaster hazard assessment and mitigation in Taiwan H. Merrett & W. Chen
57. Landslide manual and automated inventories, and susceptibility mapping using LIDAR in the forested mountains of Guerrero, Mexico K. Gaidzik et al.
58. 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.
59. Sulphuric acid-mediated weathering on Taiwan buffers geological atmospheric carbon sinks T. Blattmann et al.
60. Post-disaster assessment of 2017 catastrophic Xinmo landslide (China) by spaceborne SAR interferometry K. Dai et al.
61. Radiocarbonscapes of Sedimentary Organic Carbon in the East Asian Seas R. Bao & T. Blattmann
62. Accurate landslide identification by multisource data fusion analysis with improved feature extraction backbone network Y. Jin et al.
63. Elucidating the impacts of trees on landslide initiation throughout a typhoon: Preferential infiltration, wind load and root reinforcement Y. Zhuang et al.
64. Earthquake-triggered landslide interpretation model of high resolution remote sensing imageries based on bag of visual word R. Bai et al.
65. Rapid Mapping of Slow-Moving Landslides Using an Automated SAR Processing Platform (HyP3) and Stacking-InSAR Method Y. Yi et al.
66. Review on remote sensing methods for landslide detection using machine and deep learning A. Mohan et al.
67. Erosion effects assessed by repeated gravity measurements in southern Taiwan M. Mouyen et al.
68. Detection of 2011 Sikkim earthquake-induced landslides using neuro-fuzzy classifier and digital elevation model K. Singh & A. Singh
69. Exploration of Multi-Decadal Landslide Frequency and Vegetation Recovery Conditions Using Remote-Sensing Big Data M. Aman et al.
70. Landslide-induced changes of soil physicochemical properties in Xitou, Central Taiwan C. Cheng et al.
71. Failure and disaster-causing mechanism of a typhoon-induced large landslide in Yongjia, Zhejiang, China Y. Zhuang et al.
72. Factors controlling the formation and movement of clustered shallow landslides triggered by the extreme rainstorm in July 2023 in Beijing, China H. Ma & F. Wang
73. Investigating possible gravity change rates expected from long-term deep crustal processes in Taiwan M. Mouyen et al.
74. Rapid Mapping of Landslides Induced by Heavy Rainfall in the Emilia-Romagna (Italy) Region in May 2023 M. Ferrario & F. Livio
75. A geometry-modelling method to estimate landslide volume from source area E. Leong & Z. Cheng
76. A Semi-Automated Object-Based Approach for Landslide Detection Validated by Persistent Scatterer Interferometry Measures and Landslide Inventories D. Hölbling et al.
77. Deep Learning-Enhanced LSPIV for Automated Non-Contact River Surface Velocity Monitoring in Urban Channels Y. Fang et al.
78. Modelling of hyperconcentrated flow in steep-sloped channels C. Chen et al.
79. Synergistic fusion network for landslide segmentation: the vital complementarity of geological information to remote sensing imagery G. Yao et al.
80. Combining multiple change detection indices for mapping landslides triggered by typhoons A. Mondini et al.
81. Mesoscale Analysis of Heavy Rainfall Episodes from SoWMEX/TiMREX C. Davis & W. Lee
82. A combined contour lines iteration algorithm and Delaunay triangulation for terrain modeling enhancement Y. Miky et al.
83. The importance of input data on landslide susceptibility mapping K. Gaidzik & M. Ramírez-Herrera
84. Rapid landslide detection from free optical satellite imagery using a robust change detection technique R. Coluzzi et al.
85. Object-Oriented Approach for Landslide Mapping Using Wavelet Transform Coupled with Machine Learning: A Case Study of Western Ghats, India H. Rana & G. Babu
86. Technical Note: Use of remote sensing for landslide studies in Europe V. Tofani et al.
87. Importance of Oceanian small mountainous rivers (SMRs) in global land-to-ocean output of lignin and modern biospheric carbon H. Bao et al.
88. Fusion Analysis of Optical Satellite Images and Digital Elevation Model for Quantifying Volume in Debris Flow Disaster H. Miura