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遥感技术与应用  2015, Vol. 30 Issue (5): 969-979    DOI: 10.11873/j.issn.1004-323.2015.5.0969
遥感应用     
时序InSAR技术地表沉降监测结果可靠性及沉降梯度分析
赵峰1,2,汪云甲1,2,闫世勇1,2
(1.中国矿业大学环境与测绘学院,江苏 徐州 221116)
境与灾害监测国家测绘地理信息局重点实验室,江苏 徐州 221116)
Analysis of the Reliability and Subsidence Gradient for the  Subsidence Monitoring Result of Time-series InSAR
Zhao Feng1,2,Wang Yunjia1,2,Yan Shiyong1,2
(1.School of Environment Science and Spatial Informatics,China University
of Mining and Technology,Xuzhou 221116,China;
2.National Administration of Surveying,Mapping and Geo-information (NASG) Key Laboratory of
Land Environment and Disaster Monitoring,Xuzhou 221116,China )
 全文: PDF 
摘要:

为系统评价时序InSAR技术监测结果的精度和可靠性,进一步挖掘监测结果中隐藏的空间地理信息,利用两种时序InSAR技术对天津市及周边区域地表沉降情况进行监测,并基于水准数据测量结果、不同时序InSAR技术监测结果以及夜间灯光数据二次分析结果,研究了系统评价监测结果可靠性的方法,对监测结果进行了精度和可靠性的评价。在此基础上,基于ArcGIS空间插值与梯度分析方法,对研究区两个重点沉降区域进行了沉降梯度分析。研究结果表明:①研究区时序InSAR技术监测结果精度较高、可靠性较好;②重点沉降区域分布于天津市市区周边辖区,而市区相对比较稳定;③沉降梯度较大区域多分布于“沉降漏斗”的边缘,沉降梯度大小与沉降速率之间没有直接联系。

关键词: 时序InSAR技术夜间灯光数据可靠性分析沉降梯度分析空间分析    
Abstract:

In order to systematic evaluate the precision and reliability of the monitoring result of time-series InSAR and further exploit the geographic information hidden in the monitoring result,two different time-series InSAR have been carried out to monitor the Tianjin city and its surrounding ground subsidence.Based on the leveling data,the monitoring results of different time-serise InSAR and the night light data,a systematic algorithm has been proposed to evaluate the precision and reliability of the InSAR’s results.Also the ArcGIS interpolation and gradient calculating method has been used to analyse two seriously subsidence regions’ gradient of the study area.The results show that:①Monitoring precision and reliability of the time-series InSAR is very good;②Most of the seriously subsidence regions locates in the surrounding areas of the Tianjin city,while the Tianjin city has not subsided nearly.③Large subsidence gradient mostly distributed in the edge of the “sinking funnel”,there is no direct link between the subsidence rate and gradient.

Key words: Time-series InSAR    Night light data    Analysis of reliability    Analysis of subsidence gradient    Geo-analysis
收稿日期: 2015-01-17 出版日期: 2015-12-08
:  TP 79  
基金资助:

测绘地理信息公益性行业科研专项经费项目(201412016),江苏高校优势学科建设工程“测绘科学与技术学科”项目(SZBF2011\|6\|B35),江苏省基础研究计划(自然科学基金)项目(BIC20150189)资助。

通讯作者: 汪云甲(1960-),男,江苏盐城人,教授,博士生导师,主要从事国土资源环境及灾害监测、室内外无缝定位、地理信息工程、矿山测量等方面的研究.mail:wyj4139@163.com。    
作者简介: 赵峰(1992-),男,湖北潜江人,硕士研究生,主要从事InSAR理论与技术等方面的研究。Email:a20092202206@163.com。
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引用本文:

赵峰,汪云甲,闫世勇. 时序InSAR技术地表沉降监测结果可靠性及沉降梯度分析[J]. 遥感技术与应用, 2015, 30(5): 969-979.

Zhao Feng,Wang Yunjia,Yan Shiyong. Analysis of the Reliability and Subsidence Gradient for the  Subsidence Monitoring Result of Time-series InSAR. Remote Sensing Technology and Application, 2015, 30(5): 969-979.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-323.2015.5.0969        http://www.rsta.ac.cn/CN/Y2015/V30/I5/969

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