IGSNRR OpenIR
Retrieval of remotely sensed sea surface salinity using MODIS data in the Chinese Bohai Sea
Yu, Xiang1; Xiao, Bei1; Liu, Xiangyang2; Wang, Yebao3,4,5; Cui, Buli1; Liu, Xin3,4,5
2017
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume38Issue:23Pages:7357-7373
Corresponding AuthorYu, Xiang(xyu@yic.ac.cn)
AbstractSalinity 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.
DOI10.1080/01431161.2017.1375570
WOS KeywordDISSOLVED ORGANIC-MATTER ; OCEAN-COLOR ; BIOOPTICAL PROPERTIES ; OPTICAL-PROPERTIES ; MISSISSIPPI RIVER ; COASTAL WATERS ; SATELLITE DATA ; CLYDE SEA ; ABSORPTION ; SPECTROSCOPY
Indexed BySCI
Language英语
Funding ProjectChinese Academy of Sciences[NSFC41371483] ; Chinese Academy of Sciences[KZZD-EW-14] ; Key Laboratory of Coastal Environmental Processes and Ecological Remediation, YICCAS[2016KFJJ03]
Funding OrganizationChinese Academy of Sciences ; Key Laboratory of Coastal Environmental Processes and Ecological Remediation, YICCAS
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000412545900045
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/62158
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYu, Xiang
Affiliation1.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
Recommended Citation
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,&Liu, Xin.(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.
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