Satellite ocean colour algorithm for Prochlorococcus, Synechococcus, and picoeukaryotes concentration retrieval in the South China Sea

doi:10.1016/j.asr.2018.07.005

CORC > 南海海洋研究所 > 中国科学院南海海洋研究所 > 热带海洋环境国家重点实验室(LTO)

	Satellite ocean colour algorithm for Prochlorococcus, Synechococcus, and picoeukaryotes concentration retrieval in the South China Sea
	Tang, DanLing; Morozov, Evgeny
刊名	ADVANCES IN SPACE RESEARCH
	2019
卷号	63 期号:1 页码:16
关键词	Prochlorococcus Synechococcus Picoeukaryotes South China Sea Ocean colour algorithm Cross-validation
ISSN号	0273-1177
DOI	10.1016/j.asr.2018.07.005
英文摘要	An 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.
内容类型	期刊论文
源URL	[http://ir.scsio.ac.cn/handle/344004/17787]
专题	南海海洋研究所_热带海洋环境国家重点实验室(LTO)
作者单位	Chinese Acad Sci, South China Sea Inst Oceanol, Guangdong Key Lab Ocean Remote Sensing, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Tang, DanLing,Morozov, Evgeny. 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	Tang, DanLing,&Morozov, Evgeny.(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	Tang, DanLing,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.