Comparison of CZCS and SeaWiFS Pigments for Merging the Higher Level Ocean Color Data KCI

DC Field Value Language
dc.contributor.author 정종철 -
dc.contributor.author 유신재 -
dc.date.accessioned 2020-04-21T06:55:22Z -
dc.date.available 2020-04-21T06:55:22Z -
dc.date.created 2020-02-10 -
dc.date.issued 2002-10 -
dc.identifier.issn 1225-6161 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/5651 -
dc.description.abstract Many ocean color sensors are being operated at present and will be continued to operatein the coming years. However, these ocean color sensors have different spectral bands locations andhigher level product algorithms.Thus the continuity of ocean color data from the satellite with different missions will be important formonitoring of oceanographic variation with long term research. In this study, CZCS band and algorithmare compared with OCTS and SeaWiFS algorithm for estimating chlorophyll. Missing bands of OCTSand CZCS for chlorophyll algorithm are estimated by linear-interpolation using SeaWiFS data. We wereable to evaluate the effectiveness of the correction methods using linear interpolation method.Surprisingly, linear interpolation gave a better result than those of other bands. -
dc.description.uri 2 -
dc.publisher 대한원격탐사학회 -
dc.title Comparison of CZCS and SeaWiFS Pigments for Merging the Higher Level Ocean Color Data -
dc.type Article -
dc.citation.endPage 303 -
dc.citation.startPage 299 -
dc.citation.title 대한원격탐사학회지 -
dc.citation.volume 18 -
dc.citation.number 5 -
dc.contributor.alternativeName 유신재 -
dc.identifier.bibliographicCitation 대한원격탐사학회지, v.18, no.5, pp.299 - 303 -
dc.identifier.kciid ART000987388 -
dc.description.journalClass 2 -
dc.description.isOpenAccess N -
dc.subject.keywordAuthor CZCS -
dc.subject.keywordAuthor OCTS -
dc.subject.keywordAuthor SeaWiFS -
dc.subject.keywordAuthor Chlorophyll Algorithm -
dc.subject.keywordAuthor Linear Interpolation -
dc.description.journalRegisteredClass kci -
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Jeju Research Institute > Jeju Marine Research Center > 1. Journal Articles
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