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基于Sentinel-1雷达影像的成都市地面沉降InSAR监测分析
引用本文:潘超,江利明,孙奇石,蒋亚楠. 基于Sentinel-1雷达影像的成都市地面沉降InSAR监测分析[J]. 大地测量与地球动力学, 2020, 40(2): 198-203
作者姓名:潘超  江利明  孙奇石  蒋亚楠
作者单位:中国科学院测量与地球物理研究所;中国科学院大学;成都理工大学地球科学学院
基金项目:国家自然科学基金(41590854,41621091,41431070);中国科学院前沿科学重点研究项目(QYZDB-SSW-DQC027,QYZDJ-SSW-DQC042);国家重点研发计划(2018YFC1406102)~~
摘    要:利用2017-03~2018-03共30景Sentinel-1A SAR数据,分别采用PSI和SBAS技术获取成都市主城区地面形变分布信息,结合地面水准资料对InSAR结果进行精度评估,并初步分析地面沉降的原因。结果表明,成都市大部分区域稳定,平均形变速率主要集中在-5~5 mm/a;地面沉降主要位于一环线以外地区,地铁5、6号线主要站点及周边不均匀沉降明显,最大沉降速率达到20 mm/a;在成华区和锦江区等部分新建城区有不同程度的地面沉降,速率为5~15 mm/a,PSI和SBAS结果相关性较高。

关 键 词:时序InSAR  地面沉降  Sentinel-1A数据  城市建设  成都市区

Monitoring and Analyzing Chengdu Ground Subsidence Based on InSAR Technology by Using Sentinel-1 Radar Image
PAN Chao,JIANG Liming,SUN Qishi,JIANG Yanan. Monitoring and Analyzing Chengdu Ground Subsidence Based on InSAR Technology by Using Sentinel-1 Radar Image[J]. Journal of Geodesy and Geodynamics, 2020, 40(2): 198-203
Authors:PAN Chao  JIANG Liming  SUN Qishi  JIANG Yanan
Affiliation:(Institute of Geodesy and Geophysics,CAS,340 Xudong Street,Wuhan 430077,China;University of Chinese Academy of Sciences,A19Yuquan Road,Beijing 100049,China;College of Earth Sciences,Chengdu University of Technology,1 Dongsan Road,Erxianqiao,Chengdu 610059,China)
Abstract:This paper uses the Sentinel-1A SAR data from March 2017 to March 2018 to obtain the ground deformation of Chengdu's main urban area by using PSI and SBAS technologies. The distribution information, combined with ground level data, is used to evaluate the accuracy of the InSAR results. The reasons for the ground subsidence are analyzed. The results show that most areas of Chengdu are stable, and the deformation interval is mainly concentrated at -5~5 mm/a; the ground subsidence is mainly located outside the first ring line, and the uneven settlement of the main stations and surrounding areas of metro lines 5 and 6 is obvious. The sedimentation rate reached 20 mm/a, and the land subsidence in different urban areas such as Chenghua district and Jinjiang district differs. The annual average rate is in the range of 5~15 mm/a, and the correlation between PSI and SBAS is higher.
Keywords:multi-temporal InSAR  ground subsidence  Sentinel-1A data  urban construction  Chengdu urban  
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