测绘通报 ›› 2020, Vol. 0 ›› Issue (10): 123-126.doi: 10.13474/j.cnki.11-2246.2020.0333

• 技术交流 • 上一篇    下一篇

利用InSAR数据的格尔木市地表沉降监测

窦超1, 赵利江1, 张生鹏1, 刘雨鑫2, 马国宝1   

  1. 1. 青海省基础测绘院, 青海 西宁 810000;
    2. 武汉大学测绘学院, 湖北 武汉 430079
  • 收稿日期:2019-12-27 修回日期:2020-08-21 出版日期:2020-10-25 发布日期:2020-10-29
  • 通讯作者: 赵利江。E-mail:zhaolijiang@qhcors.com E-mail:zhaolijiang@qhcors.com
  • 作者简介:窦超(1970-),男,高级工程师,主要研究方向为大地测量与卫星导航定位技术。E-mail:690432254@qq.com

Study on surface settlement of Golmud city based on time series InSAR

DOU Chao1, ZHAO Lijiang1, ZHANG Shengpeng1, LIU Yuxin2, MA Guobao1   

  1. 1. Qinghai Provincial Basic Surveying and Mapping Institute, Xining 810000, China;
    2. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
  • Received:2019-12-27 Revised:2020-08-21 Online:2020-10-25 Published:2020-10-29

摘要: InSAR及其相关技术在城市地面沉降监测中具有独特优势。本文采用2015年12月4日至2018年1月10日间的37景Sentinel-1卫星SAR影像数据,基于InSAR时间序列分析技术,对地处高原的格尔木市市区及其周边进行了地表形变监测。结果表明,基于相干性等指标共提取了252 889个相干点,每平方千米平均有501个相干点,后续经相干点分析计算后掩模去误差较大的点后,实际使用相干点252 035个;格尔木市及其周边郊区的整体沉降速率均在5 mm/a以内,未发现明显的沉降区域或大面积的沉降带,市区南部的沉降速率低于北部。

关键词: 高原, Sentinel-1, InSAR, 格尔木, 沉降监测

Abstract: InSAR and related technologies have some advantages in urban land settlement monitoring. This paper uses the 37-sentiment Sentinel-1 satellite SAR image data from December 4, 2015 to January 10, 2018, based on InSAR time series analysis technology to monitor the surface deformation of the urban area and its surroundings in Golmud.The results show that 252 889 coherent points are extracted based on coherence and other indicators, with an average of 501 coherent points per square kilometer, after the mask removes the larger error points, 252 035 coherent points are actually used; the overall sedimentation rate of Golmud city and its surrounding suburbs is within 5 mm/a, no obvious subsidence area is found or large-scale settlement belt, the sedimentation rate in the southern part of the urban area is lower than that in the north.

Key words: plateau, Sentinel-1, InSAR, Golmud city, settlement monitoring

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