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首页> 外文期刊>Oceanographic Literature Review >Spatiotemporal Ocean Tidal Loading in InSAR Measurements Determined by Kinematic PPP Solutions of a Regional GPS Network
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Spatiotemporal Ocean Tidal Loading in InSAR Measurements Determined by Kinematic PPP Solutions of a Regional GPS Network

机译:由区域GPS网络的运动PPP解决方案决定的Spatiotemporal海洋潮装

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摘要

The coastal crustal deformation caused by ocean tidal loading (OTL) varies spatially and temporally, and this spatiotemporal variation in satellite-based interferometric synthetic aperture radar (InSAR) measurements needs to be determined. In this article, we propose a spatiotemporal modeling method to estimate the OTL displacements in InSAR measurements using the kinematic precise point positioning (PPP) solutions of a regional GPS network. We tested the method through an experiment using 25 Sentinel-1B images and long-term observations of 172 GPS reference sites from Southern California. The experimental results suggest that there are significant OTL and solid Earth tide effects in the differential InSAR interferogram, which is greater than 40 mm. We find that the spatial characteristics of OTL variations can be expressed as a high-order polynomial in the two variables of latitude and longitude, and the spatiotemporally modeled PPP tidal estimates of the high-density GPS sites can provide high precision OTL correction for all the pixels in the interferogram. In the last part of the study, we show that the spatial large-scale signals in the differential interferograms of Sentinel-1B data are mainly atmospheric delay, solid Earth tidal, and OTL effect, and demonstrate the importance of the tidal correction in the InSAR measurements.
机译:海洋潮汐负载(OTL)引起的沿海地壳变形在空间且时间上变化,并且需要确定卫星的干涉性合成孔径雷达(INSAR)测量的这种时空变化。在本文中,我们提出了一种时空建模方法,以利用区域GPS网络的运动学精确点定位(PPP)解决方案来估算INSAR测量中的OTL位移。我们通过使用25个Sentinel-1b图像的实验测试了该方法,以及来自南加州的172个GPS参考网站的长期观察。实验结果表明,差动insar干扰图中存在显着的OTL和固体地球潮汐效应,其大于40毫米。我们发现OTL变化的空间特征可以在纬度和经度的两个变量中表示为高阶多项式,高密度GPS站点的时空建模的PPP潮汐估计可以为所有的全部提供高精度的OTL校正干扰图中的像素。在该研究的最后一部分中,我们表明,Sentinel-1B数据的差动干涉图中的空间大规模信号主要是大气延迟,固体地球潮汐和OTL效应,并证明了潮汐校正在insar中的重要性测量。

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  • 来源
    《Oceanographic Literature Review 》 |2020年第9期| 1864-1864| 共1页
  • 作者

    W. Peng; O. Wang; F.B. Zhan; Y. Cao;

  • 作者单位

    School of Geosciences and Info-Physics Central South University Changsha China;

    School of Geosciences and Info-Physics Central South University Changsha China;

    School of Geosciences and Info-Physics Central South University Changsha China;

    School of Geosciences and Info-Physics Central South University Changsha China;

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