Joint InSAR and discrete element numerical simulation method for landslide identification and monitoring: a case study of the Gongjue landslide, Jinsha River, China-Reference-Cited by-同舟云学术

Joint InSAR and discrete element numerical simulation method for landslide identification and monitoring: a case study of the Gongjue landslide, Jinsha River, China

Published:2024-05-03 Issue: Volume: Page:
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Yang Chengsheng,Xiong Guohua,Xu Hao,Wei Yunjie,Zhu Sainan,Li Zufeng

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities,CHD

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11069-024-06633-x.pdf

Reference43 articles.

1. Berardino P (2002) A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Trans Geosci Remote Sens 40:2375–2383. https://doi.org/10.1109/TGRS.2002.803792

2. Casagli N, Intrieri E, Tofani V, Gigli G, Raspini F (2023) Landslide detection, monitoring and prediction with remote-sensing techniques. Nat Rev Earth Environ 4(1):51–64

3. Chen J, Li H (2016) Genetic mechanism and disasters features of complicated structural rock mass along the rapidly uplift section at the upstream of Jinsha River. J Jilin Univ (earth Science Edition) 46(4):11531167. https://doi.org/10.13278/i.cnki.jiuese.201604202

4. Chen Y, Zhang Y, Wang L, Wang S, Tian D, Zhang L (2022) Influencing factors, deformation mechanism and failure process prediction for reservoir rock landslides: Tanjiahe landslide, three gorges reservoir area. Front Earth Sci 10:974301. https://doi.org/10.3389/feart.2022.974301

5. Chen H, Zhao C, Li B, Gao Y, Chen L, Liu D (2023) Monitoring spatiotemporal evolution of Kaiyang landslides induced by phosphate mining using distributed scatterers InSAR technique. Landslides 20:695–706