IOCAS-IR
Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm
Sheng Yexin1; Shao Weizeng1; Zhu Shuai1; Sun Jian2,3; Yuan Xinzhe4; Li Shuiqing5,6; Shi Jian7; Zuo Juncheng1
2018-06-01
发表期刊ACTA OCEANOLOGICA SINICA
ISSN0253-505X
卷号37期号:6页码:1-10
通讯作者Shao Weizeng(shaoweizeng@zjou.edu.cn)
摘要Chinese Gaofen-3 (GF-3) is the first civilian satellite to carry C-band (5.3 GHz) synthetic aperture radar (SAR). During the period of August 2016 to December 2017, 1 523 GF-3 SAR images acquired in quad-polarization (vertical-vertical (VV), horizontal-horizontal (HH), vertical-horizontal (VH), and horizontal-vertical (HV)) mode were recorded, mostly around China's seas. In our previous study, the root mean square error (RMSE) of significant wave height (SWH) was found to be around 0.58 m when compared with retrieval results from a few GF-3 SAR images in co-polarization (VV and HH) with moored measurements by using an empirical algorithm CSAR_WAVE. We collected a number of sub-scenes from these 1 523 images in the co-polarization channel, which were collocated with wind and SWH data from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis field at a 0.125A degrees grid. Through the collected dataset, an improved empirical wave retrieval algorithm for GF-3 SAR in co-polarization was tuned, herein denoted as CSAR_WAVE2. An additional 92 GF-3 SAR images were implemented in order to validate CSAR_WAVE2 against SWH from altimeter Jason-2, showing an about 0.52 m RMSE of SWH for co-polarization GF-3 SAR. Therefore, we conclude that the proposed empirical algorithm has a good performance for wave retrieval from GF-3 SAR images in co-polarization.
关键词Gaofen-3 synthetic aperture radar significant wave height
DOI10.1007/s13131-018-1217-1
收录类别SCI
语种英语
资助项目National Key Research and Development Program of China[2016YFC1401905] ; National Key Research and Development Program of China[2017YFA0604901] ; National Natural Science Foundation of China[41776183] ; National Natural Science Foundation of China[41676014] ; National Natural Science Foundation of China[41606024] ; National Natural Science Foundation of China[41506033] ; National Social Science Foundation of China[15ZDB170] ; National Key Research and Development Program of China[2016YFC1401905] ; National Key Research and Development Program of China[2017YFA0604901] ; National Natural Science Foundation of China[41776183] ; National Natural Science Foundation of China[41676014] ; National Natural Science Foundation of China[41606024] ; National Natural Science Foundation of China[41506033] ; National Social Science Foundation of China[15ZDB170]
WOS研究方向Oceanography
WOS类目Oceanography
WOS记录号WOS:000434813500001
出版者SPRINGER
引用统计
被引频次:26[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/159393
专题中国科学院海洋研究所
通讯作者Shao Weizeng
作者单位1.Zhejiang Ocean Univ, Marine Sci & Technol Coll, Zhoushan 316000, Peoples R China
2.Ocean Univ China, Phys Oceanog Lab CIMST, Qingdao 266100, Peoples R China
3.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266100, Peoples R China
4.State Ocean Adm, Natl Satellite Ocean Applicat Serv, Beijing 100081, Peoples R China
5.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China
6.Qingdao Natl Lab Marine Sci & Technol, Lab Ocean Dynam & Climate, Qingdao 266071, Peoples R China
7.Natl Univ Def Technol, Coll Meteorol & Oceanog, Nanjing 210007, Jiangsu, Peoples R China
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Sheng Yexin,Shao Weizeng,Zhu Shuai,et al. Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm[J]. ACTA OCEANOLOGICA SINICA,2018,37(6):1-10.
APA Sheng Yexin.,Shao Weizeng.,Zhu Shuai.,Sun Jian.,Yuan Xinzhe.,...&Zuo Juncheng.(2018).Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm.ACTA OCEANOLOGICA SINICA,37(6),1-10.
MLA Sheng Yexin,et al."Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery using an improved algorithm".ACTA OCEANOLOGICA SINICA 37.6(2018):1-10.
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