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《中国海洋大学学报(英文版)》 2019-01
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Evaluation of Wind Retrieval from Co-Polarization Gaofen-3 SAR Imagery Around China Seas

SHAO Weizeng;ZHU Shuai;SUN Jian;YUAN Xinzhe;SHENG Yexin;ZHANG Qingjun;JI Qiyan;Marine Science and Technology College, Zhejiang Ocean University;Physical Oceanography Laboratory/CIMST, Ocean University of China and Qingdao National Laboratory for Marine Science and Technology;National Satellite Ocean Application Service,State Oceanic Administration;Beijing Institute of Spacecraft System Engineering;  
Gaofen-3(GF-3) is the first Chinese space-borne satellite to carry the C-band multi-polarization synthetic aperture radar(SAR). Marine applications, i.e., winds and waves retrieved from GF-3 SAR images, have been operational since January 2017. In this study, we have collected more than 1000 quad-polarization(vertical-vertical(VV); horizontal-horizontal(HH); vertical-horizontal(VH); horizontal-vertical(HV)) GF-3 SAR images, which were acquired around the China Seas from September 2016 to September 2017. Wind streaks were visible in these images in co-polarization(VV and HH) channel. Geophysical model functions(GMFs), including the CMOD5N together with polarization ratio(PR) model and C-SARMOD, were used to retrieve winds from the collected co-polarization GF-3 SAR images. Wind directions were directly obtained from GF-3 SAR images. Then, the SAR-derived wind speeds were compared with the measurements at a 0.25? grid from the Advanced Scatterometer on board the Metop-A/B and microwave radiometer WindSAT. Based on the analysis, empirical corrections are proposed to improve the performance of the two GMFs. Results of this study show that the standard deviation of wind speed is 1.63 m s~(-1) with a 0.19 m s~(-1) bias and 1.71 m s~(-1) with a 0.26 m s~(-1) bias for VV-and HH-polarization GF-3 SAR, respectively. Our work not only systematically evaluates wind retrieval by using the two advanced GMFs and PR models but also proposes empirical corrections to improve the accuracy of wind retrievals from GF-3 SAR images around the China Seas and thus enhance the accuracy of near real-time operational SAR-derived wind products.
【Fund】: partly supported by the National Key Research and Development Program of China (Nos. 2016YFC1401605 2016YFC1401905 and 2017YFA0604 901);; the National Natural Science Foundation of China (Nos. 41806005 and 41806004);; the National Social Science Foundation of China (No. 15ZDB170)
【CateGory Index】: P715.7
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【Citations】
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【Co-citations】
Chinese Journal Full-text Database 2 Hits
1 Wang Ke ① Hong Jun ②④ Zhang Wen-yi ③④ Zhang Yue-ting ③④ Hui Yan-bo ① Ming Feng ②④ ①(School of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China) ②(National Key Laboratory of Microwave Imaging Technology,Beijing 100190,China) ③(Key Laboratory of Spatial Information Processing and Application System Technology,Chinese Academy of Sciences,Beijing 100190,China) ④(Institute of Electronics,Chinese Academy of Sciences,Beijing 100190,China);Method of SAR Retrieving Ocean Surface Wind in Near Shore[J];电子与信息学报;2013-08
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