A newly developed ocean significant wave height retrieval method from Envisat ASAR wave mode imagery

doi:10.1007/s13131-019-1480-2

	A newly developed ocean significant wave height retrieval method from Envisat ASAR wave mode imagery
	Fan, Chenqing 1; Wang, Xiaochen 2,3; Zhang, Xudong 1,4; Gao, Dong 1
刊名	ACTA OCEANOLOGICA SINICA
	2019-09
卷号	38 期号:9 页码:120-127
关键词	significant wave height Envisat ASAR GA-PLS optimal feature subset
ISSN号	0253-505X
DOI	10.1007/s13131-019-1480-2
英文摘要	The main objective of this paper is to propose a newly developed ocean Significant Wave Height (SWH) retrieval method from Envisat Advanced Synthetic Aperture Radar (ASAR) imagery. A series of wave mode imagery from January, April and May of 2011 are collocated with ERA-Interim reanalysis SWH data. Based on the matched datasets, a simplified empirical relationship between 22 types of SAR imagery parameters and SWH products is developed with the Genetic Algorithms Partial Least-Squares (GA-PLS) model. Two major features of the backscattering coefficient S-10 and the frequency parameter S10 are chosen as the optimal training feature subset of SWH retrieval by using cross validation. In addition, we also present a comparison of the retrieval results of the simplified empirical relationship with the collocated ERA-Interim data. The results show that the assessment index of the correlation coefficient, the bias, the root-mean-square error of cross validation (RMSECV) and the scattering index (SI) are 0.78, 0.07 m, 0.76 m and 0.5, respectively. In addition, the comparison of the retrieved SWH data between our simplifying model and the Jason-2 radar altimeter data is proposed in our study. Moreover, we also make a comparison of the retrieval of SWH data between our developed model and the wellknown CWAVE_ENV model. The results show that satisfying retrieval results are acquired in the low-moderate sea state, but major bias appears in the high sea state, especially for SWH>5 m.
资助项目	National Natural Science Foundation of China[41431174] ; National Natural Science Foundation of China[61471358] ; National Natural Science Foundation of China[41401427]
WOS关键词	SYNTHETIC-APERTURE RADAR ; GENETIC ALGORITHM ; REGRESSION ; SPECTRUM ; BUOY ; SEA
WOS研究方向	Oceanography
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000485996200011
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/30164]
专题	自然资源部第一海洋研究所
通讯作者	Wang, Xiaochen
作者单位	1.Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Shandong, Peoples R China 2.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100190, Peoples R China 3.Deqing Acad Satellite Applicat, Lab Target Microwave Properties, Deqing 313200, Peoples R China 4.Ocean Univ China, Coll Informat & Engn, Qingdao 266071, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Fan, Chenqing,Wang, Xiaochen,Zhang, Xudong,et al. A newly developed ocean significant wave height retrieval method from Envisat ASAR wave mode imagery[J]. ACTA OCEANOLOGICA SINICA,2019,38(9):120-127.
APA	Fan, Chenqing,Wang, Xiaochen,Zhang, Xudong,&Gao, Dong.(2019).A newly developed ocean significant wave height retrieval method from Envisat ASAR wave mode imagery.ACTA OCEANOLOGICA SINICA,38(9),120-127.
MLA	Fan, Chenqing,et al."A newly developed ocean significant wave height retrieval method from Envisat ASAR wave mode imagery".ACTA OCEANOLOGICA SINICA 38.9(2019):120-127.