ISSN 1003-8035 CN 11-2852/P
    于海明,张熠斌,方向辉,等. 综合InSAR技术和多源SAR数据在滑坡变形监测中的应用−以吉林治新村滑坡为例[J]. 中国地质灾害与防治学报,2024,35(1): 1-8. DOI: 10.16031/j.cnki.issn.1003-8035.202209021
    引用本文: 于海明,张熠斌,方向辉,等. 综合InSAR技术和多源SAR数据在滑坡变形监测中的应用−以吉林治新村滑坡为例[J]. 中国地质灾害与防治学报,2024,35(1): 1-8. DOI: 10.16031/j.cnki.issn.1003-8035.202209021
    YU Haiming,ZHANG Yibin,FANG Xianghui,et al. Application of multiple InSAR techniques and SAR data from multi-sources to landslide deformation monitoring :A case study of the Zhixincun landslide in Jilin Province[J]. The Chinese Journal of Geological Hazard and Control,2024,35(1): 1-8. DOI: 10.16031/j.cnki.issn.1003-8035.202209021
    Citation: YU Haiming,ZHANG Yibin,FANG Xianghui,et al. Application of multiple InSAR techniques and SAR data from multi-sources to landslide deformation monitoring :A case study of the Zhixincun landslide in Jilin Province[J]. The Chinese Journal of Geological Hazard and Control,2024,35(1): 1-8. DOI: 10.16031/j.cnki.issn.1003-8035.202209021

    综合InSAR技术和多源SAR数据在滑坡变形监测中的应用以吉林治新村滑坡为例

    Application of multiple InSAR techniques and SAR data from multi-sources to landslide deformation monitoring :A case study of the Zhixincun landslide in Jilin Province

    • 摘要: 为实现对治新村滑坡的有效监测,文章选取2017年27景Sentinel-1A数据,基于小基线雷达干涉测量技术(SBAS-InSAR)对治新村滑坡进行形变监测,分析了其时序演化态势。选用2016、2017年2景ALOS-2数据,采用差分雷达干涉测量技术(D-InSAR)监测了该滑坡形变体的特征。SBAS-InSAR对滑坡形变时序演化态势进行监测,而D-InSAR则主要对滑坡具体的形变体进行形变监测,且L波段的ALOS-2数据穿透性强于C波段的Sentinel-1A数据,可以获得更完整的干涉信息,两者监测结果可交叉验证,提高结果的可靠性。SBAS-InSAR监测结果表明,治新村滑坡汇水区滑坡后缘在监测期间发生了沉降,并且在2017年7月5日—7月29日期间滑坡后缘地表沉降达12.47 mm,监测期间平均沉降速率为2.88 mm/a,位于山谷的受威胁居民区发生了抬升,至2017年12月8日平均累计抬升达19.59 mm,监测期间平均抬升速率19.99 mm/a;D-InSAR结果显示,治新村滑坡汇水区斜坡存在5处主要变形体,面积最大变形体17973 m2,位于西侧斜坡,最不稳定变形体位于斜坡东侧,监测期间平均累积形变量最大达49.9 mm。两种监测方法都表明,滑坡灾害威胁主要来自植被覆盖较差的西侧斜坡,雨季是治新村滑坡灾害防治的重点时期。

       

      Abstract: In order to realize effective monitoring of Zhixincun landslide, this paper selected 27 sentinel-1A data in 2017, and conducted deformation monitoring of Zhixincun landslide based on small baseline radar interferometry technology (SBAS-InSAR), and analyzed its temporal evolution situation. Using ALOS-2 data from 2016 and 2017, differential radar interferometry (D-InSAR) was used to monitor the characteristics of the landslide variant. SBAS-InSAR monitors the temporal evolution situation of landslide deformation, while D-InSAR mainly monitors the deformation of specific landslide shape and variation. Moreover, the penetration of L-band ALOS-2 data is stronger than that of C-band sentinel-1A data, which can obtain more complete interference information. The monitoring results of both can be cross-verified. Improve the reliability of the results. The SBAS-InSAR monitoring results showed that the slope end of the landslide catchment area in Zhixincun had subsidence during the monitoring period, and the surface subsidence at the landslide end reached 12.47mm from July 5 to July 29, with an average subsidence rate of 2.88mm/a during the monitoring period. Uplift occurred in the threatened residential areas in the valley, with an average cumulative uplift of 19.59mm on December 8 and an average uplift rate of 19.99mm/a during the monitoring period. The D-InSAR results showed that there were five major deformations on the slope of Zhixincun landslide catchment area. The largest deformations with an area of 17973m2 were located on the west side of the slope, and the most unstable deformations were located on the east side of the slope. The average cumulative shape variable reached 49.9mm during the monitoring period. Both monitoring methods showed that the threat of landslide disaster mainly came from the west slope with poor vegetation cover, and the rainy season was the key period of landslide disaster prevention and control in Zhixincun.

       

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