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Satellite ocean colour algorithm for Prochlorococcus, Synechococcus, and picoeukaryotes concentration retrieval in the South China Sea
Morozov, Evgeny; Tang, DanLing
2019
Source PublicationADVANCES IN SPACE RESEARCH
ISSN0273-1177
Volume63Issue:1Pages:16
AbstractAn algorithm for retrieval of surface waters cell concentrations (in cell/ml) for three picophytoplankton components, Prochlorococcus (Pro), Synechococcus (Syn), and picoeukaryotes (Peuk) in the South China Sea (SCS), from ocean colour satellite data was developed and tested. Level 3 merged multisensor Ocean Colour Climate Change Initiative satellite data is used. Training is performed using in situ data on abundances of the three phytoplankton components. Several predictors derived from satellite reflectance data were tested. The regression form that assures the highest accuracy of the algorithm was chosen based on cross-validation (CV). According to the CV on test data subset, the algorithm performance is characterized by the r value 0.89, 0.72, and 0.73 and MAPD 38, 71 and 51% for Peuk, Pro, and Syn respectively. This is one of the few studies aimed at the Peuk, Pro, and Syn distribution research in the northern SCS using ocean colour satellite data. This is the only research providing algorithm with accuracy estimates of the Peuk, Pro, and Syn concentrations retrieval from the ocean colour data. Analysis of the developed algorithm allows us to conclude that both mechanisms (specific spectral features caused by pigments composition and spectrum features sensitive to general primary productivity, e.g. band ratios in 443-510 nm range and spectrum absolute values) are important for getting accurate information on the picophytoplankton composition. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved.
DepartmentLTO
KeywordProchlorococcus Synechococcus Picoeukaryotes South China Sea Ocean colour algorithm Cross-validation
DOI10.1016/j.asr.2018.07.005
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/17787
Collection热带海洋环境国家重点实验室(LTO)
AffiliationChinese Acad Sci, South China Sea Inst Oceanol, Guangdong Key Lab Ocean Remote Sensing, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Morozov, Evgeny,Tang, DanLing. Satellite ocean colour algorithm for Prochlorococcus, Synechococcus, and picoeukaryotes concentration retrieval in the South China Sea[J]. ADVANCES IN SPACE RESEARCH,2019,63(1):16, 31.
APA Morozov, Evgeny,&Tang, DanLing.(2019).Satellite ocean colour algorithm for Prochlorococcus, Synechococcus, and picoeukaryotes concentration retrieval in the South China Sea.ADVANCES IN SPACE RESEARCH,63(1),16.
MLA Morozov, Evgeny,et al."Satellite ocean colour algorithm for Prochlorococcus, Synechococcus, and picoeukaryotes concentration retrieval in the South China Sea".ADVANCES IN SPACE RESEARCH 63.1(2019):16.
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