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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10385562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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