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.
关键词
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
Key words
land surface deformation monitoring/interferometric synthetic aperture radar(InSAR)/water diversion and transfer project/HyP3 cloud computing platform/rapid survey of land surface deformation
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