Post-disaster assessment of 2017 catastrophic Xinmo landslide (China) by spaceborne SAR interferometry-Reference-Cited by-同舟云学术

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Post-disaster assessment of 2017 catastrophic Xinmo landslide (China) by spaceborne SAR interferometry

Published:2019-03-01 Issue:6 Volume:16 Page:1189-1199
ISSN:1612-510X
Container-title:Landslides
language:en
Short-container-title:Landslides

Author:

Dai Keren,Xu Qiang^ORCID,Li Zhenhong,Tomás Roberto,Fan Xuanmei,Dong Xiujun,Li Weile,Zhou Zhiwei,Gou Jisong,Ran Peilian

Funder

Sichuan Province Science and Technology Support Program

Young Scientists Fund

Science Fund for Creative Research Groups

Publisher

Springer Science and Business Media LLC

Subject

Geotechnical Engineering and Engineering Geology

Link

http://link.springer.com/content/pdf/10.1007/s10346-019-01152-4.pdf

Reference50 articles.

1. Andersson-Sköld Y, Bergman R, Johansson M, Persson E, Nyberg L (2013) Landslide risk management—a brief overview and example from Sweden of current situation and climate change. Int J Dis Risk Reduct 3:44–61. https://doi.org/10.1016/j.ijdrr.2012.11.002

2. Bai X, Jian J, He S, Liu W (2018) Dynamic process of the massive Xinmo landslide, Sichuan (China), from joint seismic signal and morphodynamic analysis. Bull Eng Geol Environ: 1–11. https://doi.org/10.1007/s10064-018-1360-0

3. Cascini L, Fornaro G, Peduto D (2010) Advanced low-and full-resolution DInSAR map generation for slow-moving landslide analysis at different scales. Eng Geol 112(1–4):29–42

4. Chen M, Tomás R, Li Z, Motagh M, Li T, Hu L, Gong H, Li X, Yu J, Gong X (2016) Imaging land subsidence induced by groundwater extraction in Beijing (China) using satellite radar interferometry. Remote Sens 8:468

5. Cigna F, Bianchini S, Casagli N (2013) How to assess landslide activity and intensity with persistent Scatterer interferometry (PSI): the PSI-based matrix approach. Landslides 10(3):267–283

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