The Extraction of Ocean Tidal Loading from ASAR Differential Interferograms
The spatiotemporal crustal non-tectonic deformation caused by ocean tidal loading (OTL) can reach the centimeters scale in coastal land areas. The temporal variation of the site OTL displacements can be estimated by the global positioning system (GPS) technique, but its spatial variation needs to be...
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MDPI AG
2020-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/3/632 |
| _version_ | 1818036882001362944 |
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| author | Wei Peng Qijie Wang Yunmeng Cao |
| author_facet | Wei Peng Qijie Wang Yunmeng Cao |
| author_sort | Wei Peng |
| collection | DOAJ |
| description | The spatiotemporal crustal non-tectonic deformation caused by ocean tidal loading (OTL) can reach the centimeters scale in coastal land areas. The temporal variation of the site OTL displacements can be estimated by the global positioning system (GPS) technique, but its spatial variation needs to be further determined. In this paper, in order to analyze the spatial characteristics of the OTL displacements, we propose a multi-scale decomposition method based on signal spatial characteristics to derive the OTL displacements from differential interferometric synthetic aperture radar (D-InSAR) measurements. The method was tested using long-term advanced synthetic aperture radar (ASAR) data and GPS reference site data from the Los Angeles Basin in the United States, and we compared the results with the FES2014b tide model. The experimental results showed that the spatial function of the OTL displacements in an ASAR image can be represented as a higher-order polynomial function, and the spatial trends of the OTL displacements determined by the InSAR and the GPS techniques are basically consistent with the FES2014b tide model. The root-mean-square errors of the differences between the spatial OTL displacements of these two methods and the FES2014b tide model are less than 0.8 mm. The results indicate that the OTL displacement extracted from InSAR data can accurately reflect the spatial characteristics of the OTL effect, which will help to improve the spatial resolution and accuracy of the OTL displacement in coastal areas. |
| first_indexed | 2024-12-10T07:18:00Z |
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| id | doaj.art-50dabf28e8e74b8e88840d06588a45b1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-12-10T07:18:00Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj.art-50dabf28e8e74b8e88840d06588a45b12022-12-22T01:57:54ZengMDPI AGSensors1424-82202020-01-0120363210.3390/s20030632s20030632The Extraction of Ocean Tidal Loading from ASAR Differential InterferogramsWei Peng0Qijie Wang1Yunmeng Cao2School of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaDivision of Physical Sciences and Engineering, King Abdullah University of Science and Technology, Jeddah 23955, Saudi ArabiaThe spatiotemporal crustal non-tectonic deformation caused by ocean tidal loading (OTL) can reach the centimeters scale in coastal land areas. The temporal variation of the site OTL displacements can be estimated by the global positioning system (GPS) technique, but its spatial variation needs to be further determined. In this paper, in order to analyze the spatial characteristics of the OTL displacements, we propose a multi-scale decomposition method based on signal spatial characteristics to derive the OTL displacements from differential interferometric synthetic aperture radar (D-InSAR) measurements. The method was tested using long-term advanced synthetic aperture radar (ASAR) data and GPS reference site data from the Los Angeles Basin in the United States, and we compared the results with the FES2014b tide model. The experimental results showed that the spatial function of the OTL displacements in an ASAR image can be represented as a higher-order polynomial function, and the spatial trends of the OTL displacements determined by the InSAR and the GPS techniques are basically consistent with the FES2014b tide model. The root-mean-square errors of the differences between the spatial OTL displacements of these two methods and the FES2014b tide model are less than 0.8 mm. The results indicate that the OTL displacement extracted from InSAR data can accurately reflect the spatial characteristics of the OTL effect, which will help to improve the spatial resolution and accuracy of the OTL displacement in coastal areas.https://www.mdpi.com/1424-8220/20/3/632ocean tidal loadingasar differential interferogramskinematic ppp tidal estimatestwo-dimensional wavelet decomposition |
| spellingShingle | Wei Peng Qijie Wang Yunmeng Cao The Extraction of Ocean Tidal Loading from ASAR Differential Interferograms Sensors ocean tidal loading asar differential interferograms kinematic ppp tidal estimates two-dimensional wavelet decomposition |
| title | The Extraction of Ocean Tidal Loading from ASAR Differential Interferograms |
| title_full | The Extraction of Ocean Tidal Loading from ASAR Differential Interferograms |
| title_fullStr | The Extraction of Ocean Tidal Loading from ASAR Differential Interferograms |
| title_full_unstemmed | The Extraction of Ocean Tidal Loading from ASAR Differential Interferograms |
| title_short | The Extraction of Ocean Tidal Loading from ASAR Differential Interferograms |
| title_sort | extraction of ocean tidal loading from asar differential interferograms |
| topic | ocean tidal loading asar differential interferograms kinematic ppp tidal estimates two-dimensional wavelet decomposition |
| url | https://www.mdpi.com/1424-8220/20/3/632 |
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