Combination of satellite InSAR, stereo mapping, and LiDAR to improve the understanding of the Chuwangjing landslide in the Three Gorges Reservoir Area
Author:
Funder
National Natural Science Foundation of China
Key Technologies Research and Development Program of Anhui Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11069-024-06680-4.pdf
Reference29 articles.
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2. Cao Y, Yin K, Alexander DE, Zhou C (2015) Using an extreme learning machine to predict the displacement of step-like landslides in relation to controlling factors. Landslides 13:725–736. https://doi.org/10.1007/s10346-015-0596-z
3. Carla T, Intrieri E, Raspini F, Bardi F, Farina P, Ferretti A, Colombo D, Novali F, Casagli N (2019) Perspectives on the prediction of catastrophic slope failures from satellite insar. Sci Rep-Uk 9. doi: ARTN 14137 https://doi.org/10.1038/s41598-019-50792-y
4. Dai K, Li Z, Xu Q, Tomas R, Li T, Jiang L, Zhang J, Yin T, Wang H (2023) Identification and evaluation of the high mountain upper slope potential landslide based on multi-source remote sensing: the aniangzhai landslide case study. Landslides. https://doi.org/10.1007/s10346-023-02044-4
5. Dong Y, Liao Z, Wang J, Liu Q, Cui L (2023) Potential failure patterns of a large landslide complex in the three gorges reservoir area. B Eng Geol Environ 82. https://doi.org/10.1007/s10064-022-03062-7
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