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dc.contributor.authorChoi, JK
dc.contributor.authorNoh, JH
dc.contributor.authorBrewin, RJW
dc.contributor.authorSun, X
dc.contributor.authorLee, CM
dc.date.accessioned2021-06-11T13:28:43Z
dc.date.issued2020-12-23
dc.description.abstractPhytoplankton controls marine ecosystems in terms of nutrients, photosynthetic rate, carbon cycle, etc. and the degree of its influence on the marine environment depends on their physical size. Many studies have been attempted to identify marine phytoplankton size classes using the remote sensing techniques. One of successful approach was the three-component model which estimates the chlorophyll concentrations of three phytoplankton size classes (micro-phytoplankton; >20 μm, nano-; 2-20 μm and pico-; <2 μm) as a function of total chlorophyll. Here, we examined the applicability of Geostationary Ocean Colour Imager (GOCI) to the mapping of the phytoplankton size class distribution in the East Sea. A fit of the three-component model to a biomarker pigment dataset collected in the study area for some years including a large harmful algal bloom period has been carried out to derive size-fractioned chlorophyll concentration (CHL). The tuned three-component model was applied to the hourly GOCI images to identify the fractions of each phytoplankton size class for the entire CHL. Then, we investigated the distribution of phytoplankton community in terms of the size structure in the East Sea during the harmful Cochlodinium polykrikoides blooms in the summer of 2013.en_GB
dc.description.sponsorshipKorea Institute of Ocean Science and Technologyen_GB
dc.description.sponsorshipKorean Ministry of Oceans and Fisheries Researchen_GB
dc.identifier.citationVol. 36, pp. 1339 - 1348en_GB
dc.identifier.doi10.7780/kjrs.2020.36.6.1.5
dc.identifier.urihttp://hdl.handle.net/10871/126024
dc.language.isoenen_GB
dc.publisherThe Korean Society of Remote Sensingen_GB
dc.rightsThis is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.subjectPhytoplankton Size Classen_GB
dc.subjectGOCIen_GB
dc.subjectEast Seaen_GB
dc.subjectThree-component Modelen_GB
dc.titleA study on the application of GOCI to analyzing phytoplankton community distribution in the east seaen_GB
dc.typeArticleen_GB
dc.date.available2021-06-11T13:28:43Z
dc.identifier.issn1225-6161
dc.descriptionThis is the final version. Available from The Korean Society of Remote Sensing via the DOI in this record. en_GB
dc.identifier.eissn2287-9307
dc.identifier.journalKorean Journal of Remote Sensingen_GB
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0en_GB
dcterms.dateAccepted2020-12-11
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2020-12-23
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2021-06-11T13:02:10Z
refterms.versionFCDVoR
refterms.dateFOA2021-06-11T13:28:56Z
refterms.panelCen_GB


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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License
(http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in
any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.