Spatiotemporal Ocean Tidal Loading in InSAR Measurements Determined by Kinematic PPP Solutions of a Regional GPS Network

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...

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Main Authors: Wei Peng, Qijie Wang, F. Benjamin Zhan, Yunmeng Cao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9119106/
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spelling doaj-1d2935bc1508499eb738449e6af018242021-06-03T23:01:55ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352020-01-01133772377910.1109/JSTARS.2020.30027779119106Spatiotemporal Ocean Tidal Loading in InSAR Measurements Determined by Kinematic PPP Solutions of a Regional GPS NetworkWei Peng0https://orcid.org/0000-0002-5305-0963Qijie Wang1https://orcid.org/0000-0002-5889-193XF. Benjamin Zhan2https://orcid.org/0000-0003-1974-976XYunmeng Cao3School of Geosciences and Info-Physics, Central South University, Changsha, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha, ChinaDepartment of Geography, Texas Center for Geographic Information Science, Texas State University, San Marcos, TX, USADivision of Physical Sciences and Engineering, King Abdullah University of Science and Technology, Jeddah, Kingdom of Saudi ArabiaThe 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.https://ieeexplore.ieee.org/document/9119106/InSAR measurementskinematic PPP tidal displacementsleast-squares support vector machineocean tidal loading
collection DOAJ
language English
format Article
sources DOAJ
author Wei Peng
Qijie Wang
F. Benjamin Zhan
Yunmeng Cao
spellingShingle Wei Peng
Qijie Wang
F. Benjamin Zhan
Yunmeng Cao
Spatiotemporal Ocean Tidal Loading in InSAR Measurements Determined by Kinematic PPP Solutions of a Regional GPS Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
InSAR measurements
kinematic PPP tidal displacements
least-squares support vector machine
ocean tidal loading
author_facet Wei Peng
Qijie Wang
F. Benjamin Zhan
Yunmeng Cao
author_sort Wei Peng
title Spatiotemporal Ocean Tidal Loading in InSAR Measurements Determined by Kinematic PPP Solutions of a Regional GPS Network
title_short Spatiotemporal Ocean Tidal Loading in InSAR Measurements Determined by Kinematic PPP Solutions of a Regional GPS Network
title_full Spatiotemporal Ocean Tidal Loading in InSAR Measurements Determined by Kinematic PPP Solutions of a Regional GPS Network
title_fullStr Spatiotemporal Ocean Tidal Loading in InSAR Measurements Determined by Kinematic PPP Solutions of a Regional GPS Network
title_full_unstemmed Spatiotemporal Ocean Tidal Loading in InSAR Measurements Determined by Kinematic PPP Solutions of a Regional GPS Network
title_sort spatiotemporal ocean tidal loading in insar measurements determined by kinematic ppp solutions of a regional gps network
publisher IEEE
series IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
issn 2151-1535
publishDate 2020-01-01
description 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.
topic InSAR measurements
kinematic PPP tidal displacements
least-squares support vector machine
ocean tidal loading
url https://ieeexplore.ieee.org/document/9119106/
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