Potential landslides deformation monitoring in Bijie city with InSAR time series

doi:10.13474/j.cnki.11-2246.2022.0183.

Abstract

Abstract: Guizhou province is one of the provinces with frequent and most serious geological disasters in China, featured with strong concealment, abruptness and unpredictability. In order to strengthen the monitoring and evaluation of potential landslides in Nayong and Qianxi county, the surface deformation of Nayong and Qianxi county are obtained using Sentinel-1 SAR data from March 2017 to July 2020 and SBAS-InSAR technology. The results show that a total of 60 suspected landslide locations are found in the study area, and the maximum cumulative deformation variable of landslide is up to 23 cm in the monitoring time. Through the field survey of landslide locations in the study region, it shows that this method can provide reference for the prevention and management of geological disasters in Guizhou province.

Key words: landslide deformation, deformation monitoring, InSAR, SBAS-InSAR, Guizhou province

CLC Number:

P237

ZHANG Jiayong, ZOU Yinxian, LIU Qianyun, ZHANG Nan, GONG Wei, LI Kanglun. Potential landslides deformation monitoring in Bijie city with InSAR time series[J]. Bulletin of Surveying and Mapping, 2022, 0(6): 121-124.

References

[1] 李晓恩,周亮,苏奋振,等.InSAR技术在滑坡灾害中的应用研究进展[J].遥感学报,2021,25(2):614-629.
[2] 廖明生,董杰,李梦华,等.雷达遥感滑坡隐患识别与形变监测[J].遥感学报, 2021, 25(1):332-341.
[3] 李媛茜,张毅,苏晓军,等.白龙江流域潜在滑坡InSAR识别与发育特征研究[J].遥感学报, 2021, 25(2):677-690.
[4] 殷跃平,吴树仁.滑坡监测预警与应急防治技术研究[M].北京:科学出版社, 2012.
[5] 郭华东.雷达对地观测理论与应用[M].北京:科学出版社, 2000.
[6] 郭华东,张露.雷达遥感六十年:四个阶段的发展[J].遥感学报, 2019, 23(6):1023-1035.
[7] WASOWSKI J, BOVENGA F. Investigating landslides and unstable slopes with satellite multi temporal interferometry:current issues and future perspectives[J]. Engineering Geology, 2014, 174:103-138.
[8] 廖明生,张路,史绪国.滑坡变形雷达遥感监测方法与实践[M].北京:科学出版社, 2017.
[9] 朱同同,史绪国,周超,等.利用2016-2020年Sentinel-1数据监测与分析三峡库区树坪滑坡稳定性[J].武汉大学学报(信息科学版), 2021(10):1560-1568.
[10] CARLÀ T, INTRIERI E, RASPINI F, et al. Perspectives on the prediction of catastrophic slope failures from satellite InSAR[J]. Scientific Reports, 2019, 9:14137.
[11] HU X, BVRGMANN R, SCHULZ W H, et al. Four-dimensional surface motions of the Slumgullion landslide and quantification of hydrometeorological forcing[J]. Nature Communications, 2020, 11:2792.
[12] 窦超,赵利江,张生鹏,等.利用InSAR数据的格尔木市地表沉降监测[J].测绘通报, 2020(10):123-126.
[13] 曹发伟,廖维谷. SBAS技术在矿区地面沉降监测中的应用[J].测绘通报, 2021(3):156-158.
[14] 刘朋俊,张璐,陈元申,等.南水北调中线湿陷性黄土区InSAR时序分析[J].人民长江, 2020,51(6):125-128.

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