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作 者:陈轲 赵俊三[1,2] 李坤 Chen Ke;Zhao Junsan;Li Kun(Faculty of Land Resources Engineering,Kunming University of Science and Technology,Kunming Yunnan 650093,China;Spatial Information Integration Technology of Natural Resources in Universities of Yunnan Province,Kunming Yunnan 650211,China)
机构地区:[1]昆明理工大学国土资源工程学院,云南昆明650093 [2]云南省高校自然资源空间信息集成与应用科技创新团队,云南昆明650211
出 处:《国土与自然资源研究》2023年第5期62-66,共5页Territory & Natural Resources Study
摘 要:为探究时序InSAR技术对地铁沿线地表的沉降监测方法的适用性,以昆明地铁三号线和六号线为例,基于30景覆盖昆明大市的sentinel-1数据,应用PS-InSAR和SBAS-InSAR技术对地铁地表沿线500 m范围的区域进行沉降监测,对形变量大于1 mm/y的沉降点进行统计分析,并对两种技术的结果进行对比验证分析。结果表明,两种时序InSAR技术都可以很好的表现地铁沿线地表沉降在空间上的分布,可对已竣工完成正在运营的地铁进行高时间密度的监测分析,对地铁线路及其周边设施的运营维护提供数据支持。In order to explore the applicability of sequential InSAR technology to the surface settlement monitoring method along the subway,taking Kunming Metro Line 3 and line 6 as examples,based on the sentinel-1 SLC data of 30 scenes covering Kunming,PS-InSAR and SBAS-InSAR technology are used to monitor the settlement of the area within 500 m along the subway surface,and the settlement points with shape variable greater than 1 mm/y are statistically analyzed,the results of the two technologies are compared and verified.The results show that the two time series InSAR technologies can well show the spatial distribution of ground settlement along the subway,monitor and analyze the completed and operating subway in high time density,and provide data support for the operation and maintenance of metro lines and their surrounding facilities.
关 键 词:PS-INSAR 城市地表 形变监测 Sentinel-1
分 类 号:TP319[自动化与计算机技术—计算机软件与理论]
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