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Assessment of Sea-Surface Wind Retrieval from C-Band Miniaturized SAR Imagery

Synthetic aperture radar (SAR) has been widely used for observing sea-surface wind fields (SSWFs), with many scholars having evaluated the performance of SAR in SSWF retrieval. Due to the large systems and high costs of traditional SAR, a tendency towards the development of smaller and more cost-eff...

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Autores principales: Wang, Yan, Li, Yan, Xie, Yanshuang, Wei, Guomei, He, Zhigang, Geng, Xupu, Shang, Shaoping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385562/
https://www.ncbi.nlm.nih.gov/pubmed/37514608
http://dx.doi.org/10.3390/s23146313
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author Wang, Yan
Li, Yan
Xie, Yanshuang
Wei, Guomei
He, Zhigang
Geng, Xupu
Shang, Shaoping
author_facet Wang, Yan
Li, Yan
Xie, Yanshuang
Wei, Guomei
He, Zhigang
Geng, Xupu
Shang, Shaoping
author_sort Wang, Yan
collection PubMed
description Synthetic aperture radar (SAR) has been widely used for observing sea-surface wind fields (SSWFs), with many scholars having evaluated the performance of SAR in SSWF retrieval. Due to the large systems and high costs of traditional SAR, a tendency towards the development of smaller and more cost-effective SAR systems has emerged. However, to date, there has been no evaluation of the SSWF retrieval performance of miniaturized SAR systems. This study utilized 1053 HiSea-1 and Chaohu-1 miniaturized SAR images covering the Southeast China Sea to retrieve SSWFs. After a quality control procedure, the retrieved winds were subsequently compared with ERA5, buoy, and ASCAT data. The retrieved wind speeds demonstrated root mean square errors (RMSEs) of 2.42 m/s, 1.64 m/s, and 3.29 m/s, respectively, while the mean bias errors (MBEs) were found to be −0.44 m/s, 1.08 m/s, and −1.65 m/s, respectively. Furthermore, the retrieved wind directions exhibited RMSEs of 11.5°, 36.8°, and 41.7°, with corresponding MBEs of −1.3°, 2.4°, and −8.8°, respectively. The results indicate that HiSea-1 and Chaohu-1 SAR satellites have the potential and practicality for SSWF retrieval, validating the technical indicators and performance requirements implemented during the satellites’ design phase.
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spelling pubmed-103855622023-07-30 Assessment of Sea-Surface Wind Retrieval from C-Band Miniaturized SAR Imagery Wang, Yan Li, Yan Xie, Yanshuang Wei, Guomei He, Zhigang Geng, Xupu Shang, Shaoping Sensors (Basel) Communication Synthetic aperture radar (SAR) has been widely used for observing sea-surface wind fields (SSWFs), with many scholars having evaluated the performance of SAR in SSWF retrieval. Due to the large systems and high costs of traditional SAR, a tendency towards the development of smaller and more cost-effective SAR systems has emerged. However, to date, there has been no evaluation of the SSWF retrieval performance of miniaturized SAR systems. This study utilized 1053 HiSea-1 and Chaohu-1 miniaturized SAR images covering the Southeast China Sea to retrieve SSWFs. After a quality control procedure, the retrieved winds were subsequently compared with ERA5, buoy, and ASCAT data. The retrieved wind speeds demonstrated root mean square errors (RMSEs) of 2.42 m/s, 1.64 m/s, and 3.29 m/s, respectively, while the mean bias errors (MBEs) were found to be −0.44 m/s, 1.08 m/s, and −1.65 m/s, respectively. Furthermore, the retrieved wind directions exhibited RMSEs of 11.5°, 36.8°, and 41.7°, with corresponding MBEs of −1.3°, 2.4°, and −8.8°, respectively. The results indicate that HiSea-1 and Chaohu-1 SAR satellites have the potential and practicality for SSWF retrieval, validating the technical indicators and performance requirements implemented during the satellites’ design phase. MDPI 2023-07-11 /pmc/articles/PMC10385562/ /pubmed/37514608 http://dx.doi.org/10.3390/s23146313 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Wang, Yan
Li, Yan
Xie, Yanshuang
Wei, Guomei
He, Zhigang
Geng, Xupu
Shang, Shaoping
Assessment of Sea-Surface Wind Retrieval from C-Band Miniaturized SAR Imagery
title Assessment of Sea-Surface Wind Retrieval from C-Band Miniaturized SAR Imagery
title_full Assessment of Sea-Surface Wind Retrieval from C-Band Miniaturized SAR Imagery
title_fullStr Assessment of Sea-Surface Wind Retrieval from C-Band Miniaturized SAR Imagery
title_full_unstemmed Assessment of Sea-Surface Wind Retrieval from C-Band Miniaturized SAR Imagery
title_short Assessment of Sea-Surface Wind Retrieval from C-Band Miniaturized SAR Imagery
title_sort assessment of sea-surface wind retrieval from c-band miniaturized sar imagery
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385562/
https://www.ncbi.nlm.nih.gov/pubmed/37514608
http://dx.doi.org/10.3390/s23146313
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