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February 1, 2026Natural Hazards

Hydro-gravitational dominance and differential landslide deformation unveiled by SBAS-InSAR-enhanced susceptibility mapping in Wushan, Three Gorges

Pinglang Kou Yuxiang Tao Jinhu Cui Zhao Jin Yijian Huang Wenli Liang Andrés Alonso-Rodriguez Qiang Xu

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Key Points

Landslide deformation patterns reveal distinct behaviors influenced by hydro-gravitational factors.
Evidence shows significant deformation around high-water areas during the monsoon season in Wushan.
Geospatial analysis using SBAS-InSAR methodologies enhances the accuracy of susceptibility mapping.
Understanding these patterns may enable better risk assessments in geologically sensitive regions.

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Implication

Observational analysis unveils landslide deformation patterns in Wushan, suggesting new insights into susceptibility mapping.

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Cite This Study

Kou et al. (2026) studied this question.

synapsesocial.com/papers/69a765dbbadf0bb9e87dabda https://doi.org/10.1007/s11069-025-07841-9

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression treesOriginal Research · 2021 · 305 citations
2Improving Spatial Agreement in Machine Learning-Based Landslide Susceptibility MappingOriginal Research · 2020 · 149 citations
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4Deep learning-based landslide susceptibility mappingOriginal Research · 2021 · 412 citations
5An updating of landslide susceptibility prediction from the perspective of space and timeOriginal Research · 2023 · 97 citations

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