首页|基于云计算的引调水工程星载TD-InSAR地表形变监测

基于云计算的引调水工程星载TD-InSAR地表形变监测

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针对时间序列InSAR计算量大、时效性低、传统D-InSAR精度不高的问题,提出了 TD-InSAR连续像对干涉测量方法,并利用HyP3云计算平台实现了长距离引调水工程沿线地表形变连续干涉像对快速分析.以珠江三角洲水资源配置工程为研究区,以传统PS-InSAR监测结果为参照数据对TD-InSAR地表形变探测精度进行了验证.试验结果表明:TD-InSAR取得的地表形变速率与PS-InSAR趋势一致,决定系数R2＞0.7,精度相比传统D-InSAR方法提高了52.6％;基于云计算的TD-InSAR地表形变监测方法降低了时序分析的计算量,提高了时序分析的时效性,适用于大范围的地表形变快速普查分析.
TD-InSAR Monitoring of Land Surface Deformation along Water Diversion Projects Based on Cloud Computing
To address the high computational burden and low efficiency of time-series InSAR as well as the inade-quate accuracy of traditional D-InSAR methods,we propose a TD-InSAR approach using continuous image pairs.This method enables rapid analysis of land surface deformation along long-distance water diversion and transfer pro-jects through the HyP3 cloud computing platform.We validated the accuracy of the TD-InSAR land surface deform-ation detection by applying it to the Pearl River Delta Water Resources Allocation Project and comparing the results with traditional PS-InSAR monitoring data.Results demonstrate that TD-InSAR's land surface deformation rate closely aligns with the trends observed in PS-InSAR,with a determination coefficient R2 greater than 0.7.Further-more,TD-InSAR improves accuracy by 52.6％compared to traditional D-InSAR methods.The cloud computing-based TD-InSAR approach significantly reduces the computational burden of time-series InSAR analysis,enhances time efficiency,and is well-suited for large-scale,rapid survey of land surface deformation.

land surface deformation monitoringinterferometric synthetic aperture radar(InSAR)water diversion and transfer projectHyP3 cloud computing platformrapid survey of land surface deformation

万鹏、韩贤权、谭勇、秦朋

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长江科学院工程安全与灾害防治研究所,武汉 430010

水利部水工程安全与病害防治工程技术研究中心,武汉 430010

国家大坝安全工程技术研究中心,武汉 430010

地表形变监测 合成孔径雷达干涉测量(InSAR) 引调水工程 HyP3云计算平台 地表形变快速普查

国家自然科学基金项目国家自然科学基金项目长江勘测规划设计研究院开放创新基金项目中央级公益性科研院所基本科研业务费专项资金资助项目

4200137442271447CX2019K02CKSF2021448

2024

10.11988/ckyyb.20231420

长江科学院院报
长江科学院

长江科学院院报

CSTPCD北大核心
影响因子：0.618
ISSN：1001-5485
年,卷(期)：2024.41(10)