期刊文献+

高分辨率TerraSAR-X时序差分干涉沉降监测及精度验证

Land subsidence monitoring based on differential interferometry using time series of high-resolution TerraSAR-X images and monitoring precision verification
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摘要 城市地面沉降属于缓慢性地质灾害,其对社会经济和人类生活具有持续性负面影响,对城市沉降进行广域高效监测具有重要现实意义。选取天津市为研究区域,以2009年4月7日—2010年12月14日获取的34幅高分辨率TerraSAR-X SAR影像为数据源,采用基于相干点目标分析(interferometric point target analysis,IPTA)的时序差分干涉处理方法进行沉降监测,使用精密水准数据进行精度验证,并提出一种基于最小二乘拟合的沉降时间序列验证方法,最后基于验证后的结果进行沉降分析和解释。与水准数据对比表明,IPTA解算沉降速率、时间序列最小二乘拟合沉降速率的均方根误差分别为3.15 mm/a和-3.25 mm/a。对沉降结果进行分析表明,实验区总体沉降呈不均匀性,最大沉降速率为-128.41 mm/a,沉降时空分布与研究区地表覆盖类型及地下水开采相关。 Urban land subsidence is a kind of slowly developing geological disaster and has sustained negative impacts on the social economy and human life.Therefore,it is of great significance to carry out effective and wide-area urban subsidence monitoring.With 34 high-resolution TerraSAR-X SAR images obtained from April 07,2009 to December 14,2010 as data sources,the land subsidence in Tianjin City was monitored using the differential interferometry of time series based on interferometric point target analysis(IPTA)in this study.Then the monitoring precision was verified using the precise leveling data,and a verification method of subsidence time series based on least-squares fitting was adopted.Finally,subsidence analysis and interpretation were carried out based on the verification results.Compared to the leveling data,the root mean square errors of the subsidence rates obtained using IPTA and that using the least squares-fitting of time series were 3.15 mm/a and-3.25 mm/a,respectively.According to the analysis of subsidence results,the overall subsidence of the study area is significantly uneven,the maximum subsidence rate is-128.41 mm/a,and the spatial-temporal distribution of the land subsidence correlates highly with surface cover types and groundwater exploitation.
作者 于冰 谭青雪 刘国祥 刘福臻 周志伟 何智勇 YU Bing;TAN Qingxue;LIU Guoxiang;LIU Fuzhen;ZHOU Zhiwei;HE Zhiyong(School of Civil Engineering and Geomatics,Southwest Petroleum University,Chengdu 610500,China;Institute of Petroleum and Natural Gas Spatial Information Engineering,Southwest Petroleum University,Chengdu 610500,China;State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu 610500,China;State Key Laboratory of Geodesy and Earth’s Dynamics,Innovation Academy for Precision Measurement Science and Technology,Chinese Academy of Sciences,Wuhan 430077,China;Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China)
出处 《自然资源遥感》 CSCD 北大核心 2021年第4期26-33,共8页 Remote Sensing for Natural Resources
基金 国家自然科学基金青年科学基金项目“基于卫星升降轨时序DInSAR的塔里木油田沉降监测及储层状态参数反演”(编号:41801399) 第65批中国博士后科学基金面上资助项目“我国西北典型特大油田InSAR沉降监测及储层参数反演”(编号:2019M653476) 四川省科技计划项目“星载多平台升降轨时序差分雷达干涉滑坡三维形变监测及预测”(编号:2018JY0138) 大地测量与地球动力学国家重点实验室开放基金项目“玛湖特大油田InSAR沉降监测及储存动力学参数反演”(编号:SKLGED2020-5-1-E)共同资助。
关键词 TERRASAR-X 时序差分干涉 沉降监测与分析 精度验证 TerraSAR-X time series differential interferometry land subsidence monitoring and analysis precision verification
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