Landslide Susceptibility Evaluation Integrating Machine Learning and SBAS-InSAR-Derived Deformation Characteristics: A Case Study of Yining County, Xinjiang. [PDF]
Ma T, Yi X, Ci H, Wang R, Yang H, Yan Z.
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Spatiotemporal assessment of multi hazard risk using graph based analysis for case studies in India. [PDF]
Ekkirala HC, Ramesh MV.
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Hysteresis modelling of rainfall-induced deformation of mudstone sandstone slopes. [PDF]
Meng C +6 more
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Evaluating the influence of anthropogenic hillslope modulation in relation to shallow landslides in the Rishikhola region, Darjeeling-Sikkim Himalaya, India. [PDF]
Sarkar S, Saha K.
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Quantitative assessment of landslide hazard and risk at regional-scale: a case study from central Vietnam. [PDF]
Das R, Van Tien P, Wegmann KW.
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Assessment of Landslide Activity and Hazard Recorded in Tree Rings-Examples from the High-Risk Vernazza Catchment (Liguria, Italy). [PDF]
Malik I +8 more
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Research on the deformation mechanisms of accumulated landslides induced by different rain patterns based on flume model tests. [PDF]
Yi W +5 more
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DINOv3-Driven Semantic Segmentation for Landslide Mapping in Mountainous Regions. [PDF]
Dou Z +7 more
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Insights from indoor testing and numerical simulations of the Lanniqing Landslide in Zhaotong, Yunnan Province, China. [PDF]
Zongheng X, Yunying C.
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A directed weighted network approach for hazard chain risk assessment including heavy rainfall induced geological disasters and flooding. [PDF]
Pei J, Dai C, Cui T.
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