李梦华, 张路, 董杰, 蔡杰华, 廖明生. 四川茂县岷江河谷区段滑坡隐患雷达遥感识别与形变监测[J]. 武汉大学学报 ( 信息科学版), 2021, 46(10): 1529-1537. DOI: 10.13203/j.whugis20210367
引用本文: 李梦华, 张路, 董杰, 蔡杰华, 廖明生. 四川茂县岷江河谷区段滑坡隐患雷达遥感识别与形变监测[J]. 武汉大学学报 ( 信息科学版), 2021, 46(10): 1529-1537. DOI: 10.13203/j.whugis20210367
LI Menghua, ZHANG Lu, DONG Jie, CAI Jiehua, LIAO Mingsheng. Detection and Monitoring of Potential Landslides Along Minjiang River Valley in Maoxian County, Sichuan Using Radar Remote Sensing[J]. Geomatics and Information Science of Wuhan University, 2021, 46(10): 1529-1537. DOI: 10.13203/j.whugis20210367
Citation: LI Menghua, ZHANG Lu, DONG Jie, CAI Jiehua, LIAO Mingsheng. Detection and Monitoring of Potential Landslides Along Minjiang River Valley in Maoxian County, Sichuan Using Radar Remote Sensing[J]. Geomatics and Information Science of Wuhan University, 2021, 46(10): 1529-1537. DOI: 10.13203/j.whugis20210367

四川茂县岷江河谷区段滑坡隐患雷达遥感识别与形变监测

Detection and Monitoring of Potential Landslides Along Minjiang River Valley in Maoxian County, Sichuan Using Radar Remote Sensing

  • 摘要: 长期以来,中国四川省茂县地区受地质、地形条件和构造活动的影响,滑坡等地质灾害频发,给人民的生命财产和公路等基础设施安全带来了巨大的威胁,因此需要对滑坡隐患区域进行有效识别和监测。以时序哨兵1号A、B卫星(Sentinel-1A/1B)影像为数据源,利用时间序列合成孔径雷达干涉测量(interferometric synthetic aperture radar, InSAR)技术对茂县岷江河谷区段的潜在滑坡隐患开展识别监测,对重点区段进行了分析,同时分析探讨了InSAR滑坡监测中不同轨道数据的视线方向形变测量灵敏度差异。从实验结果中成功探测识别出了茂县岷江河谷沟口乡至石大关乡段的20余处滑坡隐患,现场实地考察验证了识别结果的准确性,证明了时序InSAR方法在高山河谷区滑坡隐患识别监测中的有效性。

     

    Abstract:
      Objectives  Affected by geological and topographic conditions as well as tectonic activities, landslide disasters in Maoxian County, Sichuan Province happen frequently and constitute a significant threat to the safety of human life and civil infrastructure. Therefore, it is necessary to identify and monitor potential landslide-prone areas effectively.
      Methods  We applied the time-series interferometric synthetic aperture radar (InSAR) analysis technique to process both ascending and descending Sentinel-1 data stacks from November 2014 to June 2017 to identify and monitor potential landslides in the valley along Minjiang River in Maoxian County. We conducted detailed and in-depth analyses of the critical areas identified. Meanwhile, we analyzed and discussed the sensitivity of InSAR line of sight (LOS) deformation measurements retrieved from SAR data stacks acquired in different orbits.
      Results  More than 20 potential landslide spots from Goukou Township to Shidaguan Township along the valley of Minjiang River in Maoxian County have been detected. The accuracy of deformation detection is validated by field survey.
      Conclusions  The results show that the time-series InSAR method can effectively identify and monitor landslide hazards in alpine and valley areas. We suggest that the difference in LOS deformation measurement sensitivity on different slopes should be considered when analyzing the deformation patterns.

     

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