堤防工程信息化管理

基于雷达卫星时序分析技术的荆江沿岸堤防形变研究

  • 张健 ,
  • 潘斌 ,
  • 陈文龙 ,
  • 张煜 ,
  • 罗天文
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  • 1.武汉大学 遥感信息工程学院, 武汉 430079;
    2.长江科学院 空间信息技术应用研究所,武汉 430010;
    3.贵州省水利水电勘测设计研究院, 贵阳 550002
张 健(1989-),男,湖北武汉人,博士研究生,主要研究方向为雷达干涉测量。E-mail:jian0713_zhang@whu.edu.cn

收稿日期: 2019-07-23

  网络出版日期: 2019-10-21

基金资助

国家重点研发计划项目(2017YFC1502601)

Detection of Deformation along Jingjiang Segment of Yangtze RiverDyke Based on Radar Satellite Time Series Analysis Technique

  • ZHANG Jian ,
  • PAN Bin ,
  • CHEN Wen-long ,
  • ZHANG Yu ,
  • LUO Tian-wen
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  • 1.School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;
    2.Spatial Information Technology Application Department, Yangtze River Scientific Research Institute, Wuhan 430010, China;
    3.Guizhou Water Resources and Hydropower Survey and Design Institute,Guiyang 550002, China

Received date: 2019-07-23

  Online published: 2019-10-21

摘要

收集了2018—2019年度的32景雷达卫星影像,采用PS-InSAR技术对荆江大堤石首至监利段堤防的沉降进行监测,获取了2018年4月至2019年4月间该区段堤防的平均沉降速率,分析了其形变趋势及物理机制。结果表明,该段堤防存在不均匀沉降,但在一年中形变的趋势会随时间变化。利用雷达卫星时序分析技术可实现荆江堤防的沉降情况高效大范围监测,表明该技术在长江堤防形变监测上具有很大的应用潜力。

本文引用格式

张健 , 潘斌 , 陈文龙 , 张煜 , 罗天文 . 基于雷达卫星时序分析技术的荆江沿岸堤防形变研究[J]. 长江科学院院报, 2019 , 36(10) : 23 -27 . DOI: 10.11988/ckyyb.20190871

Abstract

In this research we collected 32 radar satellite images from 2018 to 2019, and monitored the settlement of Jingjiang segment of Yangtze River dyke segment from Shishou to Jianli using PS-InSAR technology. We obtained the deformation trend and its physical mechanism by analyzing the average settlement rate from April 2018 to April 2019. Results unveiled uneven settlement in this segment of dike; but the deformation trend changes with time in a year. Radar satellite time series analysis technology could highly-effectively monitor the settlement of Jingjiang River dyke in a large range, which suggest that radar satellite time series analysis has great application potential in the deformation monitoring of the Yangtze River embankment.

参考文献

[1] 朱建军, 李志伟, 胡 俊. InSAR变形监测方法与研究进展[J]. 测绘学报, 2017, 46(10): 1717-1733.
[2] MCGRANAHAN G, BALK D, ANDERSON B. The Rising Tide: Assessing the Risks of Climate Change and Human Settlements in Low Elevation Coastal Zones[J]. Environment and Urbanization, 2007, 19: 17-37.
[3] CROSETTO M, MONSERRAT O, CUEVAS-GONZÁLEZ M, et al. Persistent Scatterer Interferometry: A Review[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 115: 78-89.
[4] LANARI R, CASU F, MANZO M, et al. An Overview of the Small Baseline Subset Algorithm: A DInSAR Technique for Surface Deformation Analysis[M]//Deformation and Gravity Change: Indicators of Isostasy, Tectonics, Volcanism, and Climate Change. Basel, Switzerland: Birkhäuser, 2007.
[5] LANARI R, MORA O, MAUNUNTA M, et al. A Small-baseline Approach for Investigating Deformations on Full-resolution Differential SAR Interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(7): 1377-1386.
[6] BERARDINO P, FORNARO G, LANARI R, et al.A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(11): 2375-2383.
[7] FERRETTI A, PRATI C, ROCCA F. Permanent Scatterers in SAR Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(1): 8-20.
[8] 裴媛媛,廖明生,王寒梅.时间序列SAR影像监测堤坝形变研究[J].武汉大学学报(信息科学版),2013,38(3):266-269.
[9] LI Tao, MOTAGH M, WANG M Z, et al. Earth and Rock-Filled Dam Monitoring by High-Resolution X-Band Interferometry: Gongming Dam Case Study[J]. Remote Sensing, 2019, 11(3): 246.
[10]薛兴华,常 胜,宋鄂平.三峡水库蓄水后荆江洲滩变化特征[J].地理学报,2018,73(9):106-119.
[11]李 涛. 基于点面散射体的多时相雷达干涉模型与形变探测方法[D]. 成都:西南交通大学, 2014.
[12]钟何平, 周 萌, 唐劲松. 一种分区域的复合相位解缠算法[J]. 武汉大学学报(信息科学版), 2016,41(12):1671-1676.
[13]蒋留兵, 刘永吉, 车 俐. 网络流与曲面拟合结合的相位解缠方法[J]. 雷达科学与技术, 2018, 16(5):79-86.
[14]陈 强, 杨莹辉, 刘国祥, 等. 基于边界探测的InSAR最小二乘整周相位解缠方法[J]. 测绘学报, 2012, 41(3):441-448.
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