Digital Twin Modeling for Landslide Risk Scenarios in Mountainous Regions. [PDF]
Li L +5 more
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Hysteresis modelling of rainfall-induced deformation of mudstone sandstone slopes. [PDF]
Meng C +6 more
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Urban poor are the most endangered by socio-natural hazards, but not exclusively: the 2025 Granizal Landslide case. [PDF]
Ozturk U +3 more
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Research on the evolution mechanisms and prevention countermeasures behind a large-scale landslide in complicated-geological-structure red beds. [PDF]
He H +6 more
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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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Effect of suction stress on the strength of rupture zone and stability of landslide. [PDF]
Wang J, Su A, Liu Q, Zou Z.
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National-scale landslide susceptibility and risk mapping of India using a hybrid data-driven approach. [PDF]
Khan I +4 more
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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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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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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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