Preliminary analysis of wave retrieval from Chinese Gaofen-3 SAR imagery in the Arctic Ocean
Synthetic aperture radar (SAR) is a powerful tool for sea surface monitoring. The 2017–2020 mission of the Chinese Gaofen-3 (GF-3) over the Arctic Ocean provided a unique opportunity to investigate the feasibility of wave retrieval in the Arctic Ocean. In this study, several GF-3 SAR images acquired...
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2022
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Online Access: | https://doi.org/10.1080/22797254.2022.2098830 https://doaj.org/article/024c51d2777d49e0940f4c5a6c7a18ec |
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ftdoajarticles:oai:doaj.org/article:024c51d2777d49e0940f4c5a6c7a18ec 2023-05-15T14:48:17+02:00 Preliminary analysis of wave retrieval from Chinese Gaofen-3 SAR imagery in the Arctic Ocean Wei-Zeng Shao Chi Zhao Xing-Wei Jiang Wei-Li Wang Wei Shen Jun-Cheng Zuo 2022-12-01T00:00:00Z https://doi.org/10.1080/22797254.2022.2098830 https://doaj.org/article/024c51d2777d49e0940f4c5a6c7a18ec EN eng Taylor & Francis Group https://www.tandfonline.com/doi/10.1080/22797254.2022.2098830 https://doaj.org/toc/2279-7254 doi:10.1080/22797254.2022.2098830 2279-7254 https://doaj.org/article/024c51d2777d49e0940f4c5a6c7a18ec European Journal of Remote Sensing, Vol 55, Iss 1, Pp 440-452 (2022) Gaofen-3 SAR wave Arctic Ocean synthetic aperture radar (SAR) Oceanography GC1-1581 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.1080/22797254.2022.2098830 2022-12-30T21:51:56Z Synthetic aperture radar (SAR) is a powerful tool for sea surface monitoring. The 2017–2020 mission of the Chinese Gaofen-3 (GF-3) over the Arctic Ocean provided a unique opportunity to investigate the feasibility of wave retrieval in the Arctic Ocean. In this study, several GF-3 SAR images acquired in quad-polarization (QPS) mode were applied for wave retrieval using two theoretical-based algorithms, i.e. the parameterized first-guess spectrum method (PFSM) (with improved tilt modulation) and quad-polarization (Q-P). These images were collocated with wave fields simulated using the third-generation numeric wave model WAVEWATCH-III (WW3) and measurements from the Haiyang-2B (HY-2B) altimeter. A comparison of the HY-2B winds with the wind speeds generated by the geophysical model function (GMF) CMOD5.N showed a 3.36 m/s root mean square error (RMSE) with a correlation (COR) of 0.66. The retrieved significant wave height (SWH) validated against the WW3-simulated results had a 0.50 m RMSE using PFSM and 0.91 m RMSE with the Q-P algorithm. These results show that PFSM is suitable for wave retrieval from GF-3 SAR images. We also used PFSM to investigate the characteristics of the wave spectrum in the presence of sea ice. Although the analysis concludes that GF-3 SAR has the capability for wave monitoring in Arctic Ocean due to the high spatial resolution of SAR-derived wave spectra, an optimal wave retrieval algorithm needs to be developed for improving the retrieval accuracy. Article in Journal/Newspaper Arctic Arctic Ocean Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean European Journal of Remote Sensing 55 1 456 468 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Gaofen-3 SAR wave Arctic Ocean synthetic aperture radar (SAR) Oceanography GC1-1581 Geology QE1-996.5 |
spellingShingle |
Gaofen-3 SAR wave Arctic Ocean synthetic aperture radar (SAR) Oceanography GC1-1581 Geology QE1-996.5 Wei-Zeng Shao Chi Zhao Xing-Wei Jiang Wei-Li Wang Wei Shen Jun-Cheng Zuo Preliminary analysis of wave retrieval from Chinese Gaofen-3 SAR imagery in the Arctic Ocean |
topic_facet |
Gaofen-3 SAR wave Arctic Ocean synthetic aperture radar (SAR) Oceanography GC1-1581 Geology QE1-996.5 |
description |
Synthetic aperture radar (SAR) is a powerful tool for sea surface monitoring. The 2017–2020 mission of the Chinese Gaofen-3 (GF-3) over the Arctic Ocean provided a unique opportunity to investigate the feasibility of wave retrieval in the Arctic Ocean. In this study, several GF-3 SAR images acquired in quad-polarization (QPS) mode were applied for wave retrieval using two theoretical-based algorithms, i.e. the parameterized first-guess spectrum method (PFSM) (with improved tilt modulation) and quad-polarization (Q-P). These images were collocated with wave fields simulated using the third-generation numeric wave model WAVEWATCH-III (WW3) and measurements from the Haiyang-2B (HY-2B) altimeter. A comparison of the HY-2B winds with the wind speeds generated by the geophysical model function (GMF) CMOD5.N showed a 3.36 m/s root mean square error (RMSE) with a correlation (COR) of 0.66. The retrieved significant wave height (SWH) validated against the WW3-simulated results had a 0.50 m RMSE using PFSM and 0.91 m RMSE with the Q-P algorithm. These results show that PFSM is suitable for wave retrieval from GF-3 SAR images. We also used PFSM to investigate the characteristics of the wave spectrum in the presence of sea ice. Although the analysis concludes that GF-3 SAR has the capability for wave monitoring in Arctic Ocean due to the high spatial resolution of SAR-derived wave spectra, an optimal wave retrieval algorithm needs to be developed for improving the retrieval accuracy. |
format |
Article in Journal/Newspaper |
author |
Wei-Zeng Shao Chi Zhao Xing-Wei Jiang Wei-Li Wang Wei Shen Jun-Cheng Zuo |
author_facet |
Wei-Zeng Shao Chi Zhao Xing-Wei Jiang Wei-Li Wang Wei Shen Jun-Cheng Zuo |
author_sort |
Wei-Zeng Shao |
title |
Preliminary analysis of wave retrieval from Chinese Gaofen-3 SAR imagery in the Arctic Ocean |
title_short |
Preliminary analysis of wave retrieval from Chinese Gaofen-3 SAR imagery in the Arctic Ocean |
title_full |
Preliminary analysis of wave retrieval from Chinese Gaofen-3 SAR imagery in the Arctic Ocean |
title_fullStr |
Preliminary analysis of wave retrieval from Chinese Gaofen-3 SAR imagery in the Arctic Ocean |
title_full_unstemmed |
Preliminary analysis of wave retrieval from Chinese Gaofen-3 SAR imagery in the Arctic Ocean |
title_sort |
preliminary analysis of wave retrieval from chinese gaofen-3 sar imagery in the arctic ocean |
publisher |
Taylor & Francis Group |
publishDate |
2022 |
url |
https://doi.org/10.1080/22797254.2022.2098830 https://doaj.org/article/024c51d2777d49e0940f4c5a6c7a18ec |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Sea ice |
genre_facet |
Arctic Arctic Ocean Sea ice |
op_source |
European Journal of Remote Sensing, Vol 55, Iss 1, Pp 440-452 (2022) |
op_relation |
https://www.tandfonline.com/doi/10.1080/22797254.2022.2098830 https://doaj.org/toc/2279-7254 doi:10.1080/22797254.2022.2098830 2279-7254 https://doaj.org/article/024c51d2777d49e0940f4c5a6c7a18ec |
op_doi |
https://doi.org/10.1080/22797254.2022.2098830 |
container_title |
European Journal of Remote Sensing |
container_volume |
55 |
container_issue |
1 |
container_start_page |
456 |
op_container_end_page |
468 |
_version_ |
1766319375963389952 |