The Applicability of the Geostationary Ocean Color Imager to the Mapping of Sea Surface Salinity in the East China Sea SCIE SCOPUS

DC Field Value Language
dc.contributor.author Choi, Jong Kuk -
dc.contributor.author Son, Young Baek -
dc.contributor.author Park, Myung Sook -
dc.contributor.author Hwang, Deuk Jae -
dc.contributor.author Ahn, Jae Hyun -
dc.contributor.author Park, Young Gyu -
dc.date.accessioned 2021-07-22T00:30:03Z -
dc.date.available 2021-07-22T00:30:03Z -
dc.date.created 2021-07-22 -
dc.date.issued 2021-07 -
dc.identifier.issn 2072-4292 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/41523 -
dc.description.abstract During the summer season, low-salinity water (LSW) inputs from the Changjiang River are observed as filamentous or lens-like features in the East China Sea. Sea surface salinity (SSS) is an important factor in ocean science, and is used to estimate oceanic carbon fluxes, trace red tides, and calculate other physical processes at the surface. In this study, a proxy was developed using remote sensing reflectance (Rrs) from the Geostationary Ocean Color Imager (GOCI) centered at 490 nm (band 3), 555 nm (band 4), 660 nm (band 5), and 680 nm (band 6), and salinity (data from summer cruises during the period of 2011–2016). It was then validated to map LSW plumes in the East China Sea. The GOCI-derived surface salinity was determined by the empirical relationships between Rrs at the four bands and in situ wave glider SSS data (August 2016), and was validated with synchronous in situ hydrographic SSS data (August 2011, 2012, 2013, and 2016). The GOCI-derived SSS was considered reliable in terms of the validation with the in situ measurement with a high coefficient of determination along with a low RMSE (R2 = 0.803, RMSE = 0.914, N = 21), and in comparisons with two previous models that were used to derive SSS in the East China Sea. The GOCI-derived SSS was successfully used to examine time-series variations on diurnal and daily scales, and the effects of a typhoon in terms of marine physical and biological properties in combination with the chlorophyll-a concentration and sea surface temperature. -
dc.description.uri 1 -
dc.language English -
dc.publisher Multidisciplinary Digital Publishing Institute (MDPI) -
dc.title The Applicability of the Geostationary Ocean Color Imager to the Mapping of Sea Surface Salinity in the East China Sea -
dc.type Article -
dc.citation.title Remote Sensing -
dc.citation.volume 13 -
dc.citation.number 14 -
dc.contributor.alternativeName 최종국 -
dc.contributor.alternativeName 손영백 -
dc.contributor.alternativeName 박명숙 -
dc.contributor.alternativeName 황득재 -
dc.contributor.alternativeName 안재현 -
dc.contributor.alternativeName 박영규 -
dc.identifier.bibliographicCitation Remote Sensing, v.13, no.14 -
dc.identifier.doi 10.3390/rs13142676 -
dc.identifier.scopusid 2-s2.0-85110690515 -
dc.identifier.wosid 000676940400001 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.description.isOpenAccess N -
dc.subject.keywordAuthor East China Sea -
dc.subject.keywordAuthor GOCI -
dc.subject.keywordAuthor Low-salinity water -
dc.subject.keywordAuthor Typhoon -
dc.subject.keywordAuthor Wave glider -
dc.relation.journalWebOfScienceCategory Environmental Sciences -
dc.relation.journalWebOfScienceCategory Geosciences, Multidisciplinary -
dc.relation.journalWebOfScienceCategory Remote Sensing -
dc.relation.journalWebOfScienceCategory Imaging Science & Photographic Technology -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Environmental Sciences & Ecology -
dc.relation.journalResearchArea Geology -
dc.relation.journalResearchArea Remote Sensing -
dc.relation.journalResearchArea Imaging Science & Photographic Technology -
Appears in Collections:
Marine Digital Resources Department > Korea Ocean Satellite Center > 1. Journal Articles
Jeju Research Institute > Tropical & Subtropical Research Center > 1. Journal Articles
Ocean Climate Solutions Research Division > Ocean Circulation & Climate Research Department > 1. Journal Articles
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