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

raybet体育在线 院报 ›› 2019, Vol. 36 ›› Issue (10) : 23-27.

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raybet体育在线 院报 ›› 2019, Vol. 36 ›› Issue (10) : 23-27. DOI: 10.11988/ckyyb.20190871
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1,2, 潘斌1, 陈文龙2, 张煜2, 罗天文3
作者信息 +

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

  • ZHANG Jian1,2, PAN Bin1, CHEN Wen-long2, ZHANG Yu2, LUO Tian-wen3
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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。

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.

关键词

堤防沉降监测 / 雷达卫星影像 / 时序分析技术 / 不均匀沉降 / 荆江堤防

Key words

monitoring of dyke settlement / Sentinel-1A radar satellite imaging / time series analysis / uneven settlement / Jingjiang segment of Yangtze River dyke

引用本文

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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]. raybet体育在线 院报. 2019, 36(10): 23-27 https://doi.org/10.11988/ckyyb.20190871
ZHANG Jian, PAN Bin, CHEN Wen-long, ZHANG Yu, LUO Tian-wen. Detection of Deformation along Jingjiang Segment of Yangtze RiverDyke Based on Radar Satellite Time Series Analysis Technique[J]. Journal of Changjiang River Scientific Research Institute. 2019, 36(10): 23-27 https://doi.org/10.11988/ckyyb.20190871
中图分类号: TP79   

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基金

国家重点研发计划项目(2017YFC1502601)

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