基于SBAS-InSAR技术的环清江水布垭库区形变监测精度和影响因素分析  

Deformation monitoring accuracy and influencing factors in Shuibuya reservoir area surrounding Qingjiang River based on SBAS-InSAR technology

作　　者：要坤 石长柏 王姣 郑杰军 谭光超 彭增智 Yao kun;Shi Changbai;Wang jiao;Zheng Jiejun;Tan Guangchao;Peng Zengzhi(Hydrogeology and Engineering Geology Institute of Hubei Geological Bureau,Jingzhou 434020,China;Hubei Key Laboratory of Resources and Eco-environment Geology,Wuhan 430034,China;Enshi Tujia and Miao Autonomous Prefecture Natural Resources and Urban Rural Development Bureau,Enshi 445099,China)

机构地区：[1]湖北省地质局水文地质工程地质大队,湖北荆州434020 [2]资源与生态环境地质湖北省重点实验室,湖北武汉430034 [3]恩施土家族苗族自治州自然资源和城乡建设局,湖北恩施445099

出　　处：《资源环境与工程》2025年第1期75-84,共10页Resources Environment & Engineering

基　　金：恩施州环清江水布垭库区地质灾害专业监测预警;湖北省重大突发地质灾害风险评价。

摘　　要：InSAR技术凭借高效、低成本的优势,在水库库区地质灾害早期识别和监测领域被广泛运用,然而前人在陡峭山区的研究缺乏足够的实测数据来评价SBAS-InSAR技术监测地表形变的精度,也少有分析不同环境因素对形变监测精度的影响。本文利用SBAS-InSAR技术处理Sentinel-1A卫星数据,获得了2023年环清江水布垭库区地表形变信息,联合对应时期的GNSS监测数据计算监测精度;同时分析植被覆盖度和土地覆盖类型对InSAR监测精度的影响。结果表明,2023年库区整体处于稳定状态,局部区域欠稳定;InSAR形变时序数据和GNSS形变时序数据接近,RMSE为8.65 mm;高植被覆盖给SBAS-InSAR监测地表形变带来了负面影响,SBAS-InSAR技术监测低植被覆盖区域的地表形变的精度优于高植被覆盖区域,监测不同土地覆盖类型的精度从高到底依次为农用地、草地和林地。InSAR technology,with its efficiency and low cost,is widely used in the early identification and monitoring of geological disasters in reservoir areas.However,previous studies in steep mountainous areas lack sufficient measured data to evaluate the accuracy of SBAS-InSAR technology in monitoring surface deformation and rarely analyze the impact of different environmental factors on deformation monitoring accuracy.This study utilized SBAS-InSAR technology to process Sentinel-1A satellite data,obtaining surface deformation information of Shuibuya reservoir area in 2023.Combined with GNSS monitoring data from the corresponding period,the accuracy was calculated.Additionally,the impact of vegetation coverage and land cover types on InSAR monitoring accuracy was analyzed.The results indicated that the reservoir area was overall stable in 2023,with local areas being less stable.The InSAR deformation time series data closely matched the GNSS deformation time series data,with an RMSE of 8.65 mm.High vegetation coverage negatively impacted SBAS-InSAR surface deformation monitoring,and the accuracy of SBAS-InSAR technology in monitoring areas with low vegetation cover was superior to that in areas with high vegetation cover.The accuracy of InSAR monitoring across different land cover types,from highest to lowest,was farmland,grassland,and forest land.

关 键 词：INSAR GNSS 形变 监测精度 植被覆盖度 土地覆盖类型 

分 类 号：P237[天文地球—摄影测量与遥感]