Research on Surface Deformation Analysis and Prevention Methods in Landslide Areas
DOI:
https://doi.org/10.53469/jtpms.2023.03(12).05Keywords:
Baige Landslide, Sentinel-1, PS-InSARAbstract
A landslide occurred near the village of Baige, Polo Township, Jiangda County, Tibet, causing the Jinsha River to cut off its flow and forming a weir. Sentinel-1, Landsat8 data were collected to analyse the impact of the weir formed by the landslide on the upstream villages and towns, and the MT-InSAR technique was applied to obtain the movement characteristics of the landslide body before the landslide occurred. the results showed that the baige landslide had already been significantly slipping before the disaster occurred, and the average rate of change of the baige landslide front was obtained according to the PS-InSAR results, and two suspected landslides were found in the southwest and north of the landslide. PS-InSAR can discriminate the landslide in advance and make regular observation of the active landslide suspected landslide to provide early warning before the disaster occurred.
References
FU Bolin, XIE Shu-yu, LI Tao, LI Hao, ZU Ping-ping, GAO Er-tao. A comparative study on remote sensing monitoring of landslides based on SBAS/PS-InSAR technology [J]. Geodesy and Geodynamics, 2021, 41(04):392-397.
YANG Chengsheng, DONG Jihong, ZHU Sai-nan, XIONG Guo-hua. Identification and deformation characteristics of InSAR detection of landslide complexes in the Batang section of the Jinsha River combined belt [J/OL]. Journal of Earth Science and Environment:1- 11[2021-04-23]. https://doi. org/10.19814/j. jese. 2020.12034.
LI Yuanxi, ZHANG Yi, SU Xiaojun, ZHAO Fumeng, LIANG Yiwen, MENG Xingmin, JIA Jun. InSAR identification and developmental characteristics of potential landslides in the Bailong River basin [J]. Journal of Remote Sensing, 2021, 25(02):677-690.
Li X. E., Zhou L., Su F. Z., Wu W. Z. Research progress on the application of InSAR technology in landslide hazards [J]. Journal of Remote Sensing, 2021, 25(02):614-629.
Su Xiaojun, Zhang Yi, Jia Jun, Liang Yiwen, Li Yuanxi, Meng Xingmin. Identification of potential landslide hazards in Loyang County, southern Qinling Mountains based on InSAR technology [J]. Journal of Mountain and Earth Sciences, 2021, 39(01):59-70.
Li Wanlin, Zhou Yingshuai. Geological hazards and monitoring and early warning based on D-InSAR technology [J]. Survey and Mapping Engineering, 2021, 30(01):66-70.
Tang Yao, Wang Lijuan, Liao Jun, Jia Jieqiong. Analysis of landslide disaster and deformation monitoring based on remote sensing retrieval and InSAR technology [J]. Land and Resources Informatization, 2020(06):14-19.
Lv Jiaying, Li Xianxin, Sun Luyao. A SBAS-InSAR method for landslide monitoring in reservoir areas with optimized interference pair selection [J]. China Water Transport(Second Half Moon), 2020, 20(12):129-131.
Zhu Sai-Nan, Yin Yueping, Wang Meng, Zhu Mao, Wang Chen-Hui, Wang Wen-Pei, Li Jun-Feng, Zhao Hui. Research on the destabilization mechanism and disaster mitigation measures of high remote landslides in the Jinsha River combined zone - taking the Jinsha River Sera landslide as an example [J]. Journal of Geotechnical Engineering, 2021, 43(04):688-697.
Gao HY, Zhao Qiang, Zhang P, Wang ZH. Landslide deformation monitoring based on MT-InSAR technology [J]. Beijing surveying and mapping, 2020, 34(04):485-489.
Tian S, Chen N, Wu H, et al. New insights into the occurrence of the Baige landslide along the Jinsha River in Tibet [J]. Landslides, 2020, 17:1207-1216
Yang W, Wang Y, Wang Y, et al. Retrospective deformation of the Baige landslide using optical remote sensing images [J]. Landslides, 2020, 17(3):659-668
Bontemps N, Lacroix P, Doin M-P. Inversion of deformation fields time-series from optical images, and application to the long term kinematics of slow-moving landslides in Peru [J]. Remote Sensing of Environment, 2018, 210:144-158
Song Wenping, Zhang Bin, NiuChangling, et al. An Integrated Matching Correction Algorithm based on Least Squares and Phase Correlation [J]. Remote Sensing Technology and Application, 2020, 34(6):1296-1304
He Lijia, Feng Guangcai, Feng Zhixiong, et al. Coseismic displacements of 2016 MW7.8 Kaikoura, New Zealand earthquake, using Sentinel-2 optical images [J]. Acta Geodaetica et CartographicaSinica, 2019, 48(3):339- 351.