Wave Height Estimation and Validation Based on the UFS Mode Data of Gaofen-3 in South China Sea
The ultrafinestrip (UFS) of the Gaofen-3 (GF-3) satellite provides extensive ocean wave details due to the high spatial resolution of 3 m. In this article, a new empirical model is developed to estimate wave height from GF-3 UFS mode data in South China Sea (SCS). Traditional methods either have mor...
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Format: | Article |
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IEEE
2022-01-01
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Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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Online Access: | https://ieeexplore.ieee.org/document/9738452/ |
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author | Limin Cui Mingsen Lin Youguang Zhang Yongjun Jia |
author_facet | Limin Cui Mingsen Lin Youguang Zhang Yongjun Jia |
author_sort | Limin Cui |
collection | DOAJ |
description | The ultrafinestrip (UFS) of the Gaofen-3 (GF-3) satellite provides extensive ocean wave details due to the high spatial resolution of 3 m. In this article, a new empirical model is developed to estimate wave height from GF-3 UFS mode data in South China Sea (SCS). Traditional methods either have more input parameters or complex forms or complex transformations, and most of them depend on the visible wave pattern. The model has the advantages of fewer input parameters and unnecessary visual wave patterns. The wave height estimation model is developed based on the collated data pairs between GF-3 UFS data in horizontal-horizontal polarization and the ERA5 reanalysis dataset from 2018 to 2021. The datasets are randomly divided into two groups. One group (about 80%) is used to develop the empirical relation; the other group (about 20%) and some altimeter data are used for significant wave height (SWH) verification. The comparison of the model data with the remaining ERA5 (ECMWF Reanalysis v5) data and the altimeter shows that the root-mean-square error is 0.41 and 0.47 m, the scatter index is 29.24% and 29.79%, and the correlation coefficient is 0.90 and 0.82, respectively. These statistical indices suggest that the developed model is suitable for SWH retrievals. So, the study results indicate that the GF-3 UFS mode data provide valuable information about wave conditions in the SCS. |
first_indexed | 2024-04-13T16:02:38Z |
format | Article |
id | doaj.art-fafbc4058d254a4290871cc4ad73f194 |
institution | Directory Open Access Journal |
issn | 2151-1535 |
language | English |
last_indexed | 2024-04-13T16:02:38Z |
publishDate | 2022-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
spelling | doaj.art-fafbc4058d254a4290871cc4ad73f1942022-12-22T02:40:29ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352022-01-01152797280410.1109/JSTARS.2022.31605169738452Wave Height Estimation and Validation Based on the UFS Mode Data of Gaofen-3 in South China SeaLimin Cui0https://orcid.org/0000-0002-8224-0096Mingsen Lin1Youguang Zhang2Yongjun Jia3National Satellite Ocean Application Service, Beijing, ChinaNational Satellite Ocean Application Service, Beijing, ChinaNational Satellite Ocean Application Service, Beijing, ChinaNational Satellite Ocean Application Service, Beijing, ChinaThe ultrafinestrip (UFS) of the Gaofen-3 (GF-3) satellite provides extensive ocean wave details due to the high spatial resolution of 3 m. In this article, a new empirical model is developed to estimate wave height from GF-3 UFS mode data in South China Sea (SCS). Traditional methods either have more input parameters or complex forms or complex transformations, and most of them depend on the visible wave pattern. The model has the advantages of fewer input parameters and unnecessary visual wave patterns. The wave height estimation model is developed based on the collated data pairs between GF-3 UFS data in horizontal-horizontal polarization and the ERA5 reanalysis dataset from 2018 to 2021. The datasets are randomly divided into two groups. One group (about 80%) is used to develop the empirical relation; the other group (about 20%) and some altimeter data are used for significant wave height (SWH) verification. The comparison of the model data with the remaining ERA5 (ECMWF Reanalysis v5) data and the altimeter shows that the root-mean-square error is 0.41 and 0.47 m, the scatter index is 29.24% and 29.79%, and the correlation coefficient is 0.90 and 0.82, respectively. These statistical indices suggest that the developed model is suitable for SWH retrievals. So, the study results indicate that the GF-3 UFS mode data provide valuable information about wave conditions in the SCS.https://ieeexplore.ieee.org/document/9738452/ERA5 reanalysisGaofen-3 satellitesynthetic aperture radar (SAR)South China Sea (SCS)wave height |
spellingShingle | Limin Cui Mingsen Lin Youguang Zhang Yongjun Jia Wave Height Estimation and Validation Based on the UFS Mode Data of Gaofen-3 in South China Sea IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ERA5 reanalysis Gaofen-3 satellite synthetic aperture radar (SAR) South China Sea (SCS) wave height |
title | Wave Height Estimation and Validation Based on the UFS Mode Data of Gaofen-3 in South China Sea |
title_full | Wave Height Estimation and Validation Based on the UFS Mode Data of Gaofen-3 in South China Sea |
title_fullStr | Wave Height Estimation and Validation Based on the UFS Mode Data of Gaofen-3 in South China Sea |
title_full_unstemmed | Wave Height Estimation and Validation Based on the UFS Mode Data of Gaofen-3 in South China Sea |
title_short | Wave Height Estimation and Validation Based on the UFS Mode Data of Gaofen-3 in South China Sea |
title_sort | wave height estimation and validation based on the ufs mode data of gaofen 3 in south china sea |
topic | ERA5 reanalysis Gaofen-3 satellite synthetic aperture radar (SAR) South China Sea (SCS) wave height |
url | https://ieeexplore.ieee.org/document/9738452/ |
work_keys_str_mv | AT limincui waveheightestimationandvalidationbasedontheufsmodedataofgaofen3insouthchinasea AT mingsenlin waveheightestimationandvalidationbasedontheufsmodedataofgaofen3insouthchinasea AT youguangzhang waveheightestimationandvalidationbasedontheufsmodedataofgaofen3insouthchinasea AT yongjunjia waveheightestimationandvalidationbasedontheufsmodedataofgaofen3insouthchinasea |