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。
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.
作者
李梦华
张路
董杰
蔡杰华
廖明生
LI Menghua;ZHANG Lu;DONG Jie;CAI Jiehua;LIAO Mingsheng(Faculty of Land Resource Engineering,Kunming University of Science and Technology,Kunming 650093,China;State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China;School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China)
出处
《武汉大学学报（信息科学版）》
EI
CAS
CSCD
北大核心
2021年第10期1529-1537,共9页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金(41774006,41904001)
四川省科技厅重点研发计划(2019YFS0074)
测绘遥感信息工程国家重点实验室开放基金(21R02)。
关键词
雷达遥感
时间序列InSAR技术
滑坡隐患识别
形变测量灵敏度
哨兵1号
radar remote sensing
time-series InSAR technology
detection of potential landslide hazard
deformation sensitivity
Sentine1-1
作者简介
第一作者:李梦华,博士,主要研究方向为雷达遥感地质灾害监测。menghuali@kust.edu.cn;通讯作者:张路,博士,教授。luzhang@whu.edu.cn。
