An Assessment of Atmospheric Correction Methods for GOCI Images in the Yellow River Estuary

doi:10.2112/SI90-021.1

	An Assessment of Atmospheric Correction Methods for GOCI Images in the Yellow River Estuary
	Mu, Bing 1; Qin, Ping 1; Liu, Chao 1; Liang, Xi-Jian 1,2; Huang, Ting-Xuan 1
刊名	JOURNAL OF COASTAL RESEARCH
	2019-06
页码	171-182
关键词	Ocean color GOCI atmospheric correction the Yellow River Estuary
ISSN号	0749-0208
DOI	10.2112/SI90-021.1
英文摘要	The Yellow River Estuary is a typical case II water body with high turbidity. Atmospheric correction of Geostationary Ocean Color Imager (GOCI) data is difficult in such areas. The applicability of existing atmospheric correction methods suffers from a lack of systematic assessment. In this study, the nearest-neighbor, near-infrared (NIR)-ratio, and ultraviolet atmospheric correction (UV-AC) techniques are applied to GOCI images of the Yellow River Estuary, and the quality of the water-leaving reflectance rho(w)(lambda) obtained by these methods is evaluated. The results show that the performance of the NIR-ratio and UV-AC methods is almost the same compared with in situ synchronous data, with the absolute percentage difference (APD) of each band ranging from 6-48 % and 9-47 %, respectively. The accuracy of the 660 nm and 680 nm bands is the highest (APD less than 10 %). The values of rho(w)(lambda) retrieved by the nearest-neighbor method are obviously underestimated, with an APD ranging from 30-196 %. Moreover, negative values appear in the NIR and blue bands. A rationality evaluation of the spectral shape of rho(w)(lambda) extracted from the GOCI images further confirms the consistency of the results obtained by the UV-AC and NIR-ratio methods. Approximately 86 % of pixels were scored the same by the two methods. Based on the above evaluation results, the NIR-ratio and UV-AC methods are concluded to have the same accuracy, and both perform better than the nearest-neighbor method. The input parameters of the NIR-ratio method are determined in advance using in situ measured data. On account of the limited amount of measured data, the representativeness and applicability of the input parameters are yet to be confirmed.
资助项目	China-Korea Joint Ocean Research Center[PI-2019-1-01]
WOS关键词	OCEAN COLOR DATA ; SEAWIFS IMAGERY ; COASTAL WATERS ; INFRARED BANDS ; TURBID COASTAL ; SATELLITE DATA ; SEA ; ULTRAVIOLET ; TRANSPORT ; DYNAMICS
WOS研究方向	Environmental Sciences & Ecology ; Physical Geography ; Geology
语种	英语
出版者	COASTAL EDUCATION & RESEARCH FOUNDATION
WOS记录号	WOS:000485714500022
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/30198]
专题	自然资源部第一海洋研究所
通讯作者	Mu, Bing
作者单位	1.Ocean Univ China, Coll Informat Sci & Engn, Qingdao, Shandong, Peoples R China 2.Minist Nat Resources, Inst Oceanog 1, Lab Marine Phys & Remote Sensing, Qingdao, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Mu, Bing,Qin, Ping,Liu, Chao,et al. An Assessment of Atmospheric Correction Methods for GOCI Images in the Yellow River Estuary[J]. JOURNAL OF COASTAL RESEARCH,2019:171-182.
APA	Mu, Bing,Qin, Ping,Liu, Chao,Liang, Xi-Jian,&Huang, Ting-Xuan.(2019).An Assessment of Atmospheric Correction Methods for GOCI Images in the Yellow River Estuary.JOURNAL OF COASTAL RESEARCH,171-182.
MLA	Mu, Bing,et al."An Assessment of Atmospheric Correction Methods for GOCI Images in the Yellow River Estuary".JOURNAL OF COASTAL RESEARCH (2019):171-182.