Retrieval of remotely sensed sea surface salinity using MODIS data in the Chinese Bohai Sea

doi:10.1080/01431161.2017.1375570

YIC-IR > 中国科学院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与战略规划研究中心

	Retrieval of remotely sensed sea surface salinity using MODIS data in the Chinese Bohai Sea
	Yu, Xiang 1; Xiao, Bei 1; Liu, Xiangyang 2; Wang, Yebao 3,4,5; Cui, Buli 1; Liu, Xin3,4,5 ; Yu, Xiang(Ludong Univ, Sch Resources & Environm Engn, Yantai 264025, Peoples R China)
发表期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
	2017
卷号	38 期号:23 页码:7357-7373
关键词	DISSOLVED ORGANIC-MATTER OCEAN-COLOR BIOOPTICAL PROPERTIES OPTICAL-PROPERTIES MISSISSIPPI RIVER COASTAL WATERS SATELLITE DATA CLYDE SEA ABSORPTION SPECTROSCOPY
研究领域	Remote Sensing ; Imaging Science & Photographic Technology
DOI	10.1080/01431161.2017.1375570
产权排序	第5完成单位
作者部门	海岸带信息集成与综合管理实验室
英文摘要	Salinity dominates seawater density and directly affects physical and biochemical processes. Having a reliable retrieval model is essential to providing frequent and accurate sea surface salinity (SSS) data for marine research. Remote-sensing techniques provide alternatives for SSS data retrieval with its advantages of wide area surveys and real-time monitoring. In the present study, inverse relationship between SSS and coloured dissolved organic matter (CDOM) concentration in the Chinese Bohai Sea was verified. Thus, four simple band ratios of the original remote-sensing reflectance (R-rs) used to retrieve the CDOM concentration were compared and tested during SSS retrieval. R-rs (531)/R-rs (551) performed best among the four given band ratios. The model employed here can be applied to derive SSS with a root mean square error (RMSE) of 0.26 practical salinity units (psu) (R-2 = 0.76). A calibration model was verified using a discrete dataset of the measured SSS and was tested further during mapping of SSS in the Chinese Bohai Sea during 2010-2014. The yielded spatial patterns of SSS were satisfactory and an inverse relationship between SSS and the Yellow River discharge was confirmed.
文章类型	Article
资助机构	Chinese Academy of Sciences(NSFC41371483, KZZD-EW-14) ; Key Laboratory of Coastal Environmental Processes and Ecological Remediation, YICCAS(2016KFJJ03)
收录类别	SCI
语种	英语
关键词[WOS]	DISSOLVED ORGANIC-MATTER ; OCEAN-COLOR ; BIOOPTICAL PROPERTIES ; OPTICAL-PROPERTIES ; MISSISSIPPI RIVER ; COASTAL WATERS ; SATELLITE DATA ; CLYDE SEA ; ABSORPTION ; SPECTROSCOPY
研究领域[WOS]	Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000412545900045
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.yic.ac.cn/handle/133337/23446
专题	中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
通讯作者	Yu, Xiang; Yu, Xiang(Ludong Univ, Sch Resources & Environm Engn, Yantai 264025, Peoples R China)
作者单位	1.Ludong Univ, Sch Resources & Environm Engn, Yantai 264025, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 3.Chinese Acad Sci, Key Lab Coastal Zone Environm Proc, Yantai, Peoples R China 4.Shandong Prov Key Lab Coastal Zone Environm Proc, Yantai, Peoples R China 5.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China
推荐引用方式 GB/T 7714	Yu, Xiang,Xiao, Bei,Liu, Xiangyang,et al. Retrieval of remotely sensed sea surface salinity using MODIS data in the Chinese Bohai Sea[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2017,38(23):7357-7373.
APA	Yu, Xiang.,Xiao, Bei.,Liu, Xiangyang.,Wang, Yebao.,Cui, Buli.,...&Yu, Xiang.(2017).Retrieval of remotely sensed sea surface salinity using MODIS data in the Chinese Bohai Sea.INTERNATIONAL JOURNAL OF REMOTE SENSING,38(23),7357-7373.
MLA	Yu, Xiang,et al."Retrieval of remotely sensed sea surface salinity using MODIS data in the Chinese Bohai Sea".INTERNATIONAL JOURNAL OF REMOTE SENSING 38.23(2017):7357-7373.