A Method for Sea Surface Wind Field Retrieval from SAR Image Mode Data

To retrieve wind field from SAR images, the development for surface wind field retrieval from SAR images based on the improvement of new inversion model is present. Geophysical Model Functions （GMFs） have been widely applied for wind field retrieval from SAR images. Among them CMOD4 has a good perfo...

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Bibliographic Details
Published inJournal of Ocean University of China Vol. 13; no. 2; pp. 198 - 204
Main Authors Shao, Weizeng, Sun, Jian, Guan, Changlong, Sun, Zhanfeng
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2014
Springer Nature B.V
Marine Science and Technical College, Zhejiang 0cean University, Zhoushan 316000, P. R. China%Physical 0ceanography Laboratory, 0cean University of China, Qingdao 266100, P. R. China
Subjects
Correlation coefficient
Earth and Environmental Science
Earth Sciences
Geophysics
Marine
Meteorology
Oceanography
SAR图像
Wind
Wind speed
图像检索
模式数
海面
相关系数
转基因食品
雷达横截面
风场反演
CMOD4
CMOD5
SAR
surface wind retrieval
geophysical model function
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Summary:To retrieve wind field from SAR images, the development for surface wind field retrieval from SAR images based on the improvement of new inversion model is present. Geophysical Model Functions （GMFs） have been widely applied for wind field retrieval from SAR images. Among them CMOD4 has a good performance under low and moderate wind conditions. Although CMOD5 is developed recently with a more fundamental basis, it has ambiguity of wind speed and a shape gradient of normalized radar cross section under low wind speed condition. This study proposes a method of wind field retrieval from SAR image by com-bining CMOD5 and CMOD4 Five VV-polarisation RADARSAT2 SAR images are implemented for validation and the retrieval re-suits by a combination method （CMOD5 and CMOD4） together with CMOD4 GMF are compared with QuikSCAT wind data. The root-mean-square error （RMSE） of wind speed is 0.75 m s-1 with correlation coefficient 0.84 using the combination method and the RMSE of wind speed is 1.01 m s-1 with correlation coefficient 0.72 using CMOD4 GMF alone for those cases. The proposed method can be applied to SAR image for avoiding the internal defect in CMOD5 under low wind speed condition.
Bibliography:SAR; surface wind retrieval; geophysical model function; CMOD4; CMOD5
To retrieve wind field from SAR images, the development for surface wind field retrieval from SAR images based on the improvement of new inversion model is present. Geophysical Model Functions （GMFs） have been widely applied for wind field retrieval from SAR images. Among them CMOD4 has a good performance under low and moderate wind conditions. Although CMOD5 is developed recently with a more fundamental basis, it has ambiguity of wind speed and a shape gradient of normalized radar cross section under low wind speed condition. This study proposes a method of wind field retrieval from SAR image by com-bining CMOD5 and CMOD4 Five VV-polarisation RADARSAT2 SAR images are implemented for validation and the retrieval re-suits by a combination method （CMOD5 and CMOD4） together with CMOD4 GMF are compared with QuikSCAT wind data. The root-mean-square error （RMSE） of wind speed is 0.75 m s-1 with correlation coefficient 0.84 using the combination method and the RMSE of wind speed is 1.01 m s-1 with correlation coefficient 0.72 using CMOD4 GMF alone for those cases. The proposed method can be applied to SAR image for avoiding the internal defect in CMOD5 under low wind speed condition.
SHAO Weizeng SUN Jian GUAN Changlong and SUN Zhanfeng 1） Marine Science and Technical College, Zhejiang Ocean University, Zhoushan 316000, P. R. China 2） Physical Oceanography Laboratory, Ocean University of China, Qingdao 266100, P. R. China
37-1415/P
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1672-5182
1993-5021
1672-5174
DOI:10.1007/s11802-014-1999-5