Ocean Color Algorithm Development Environment for GOCI-II Data Processing

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dc.contributor.author 양현 -
dc.contributor.author 한희정 -
dc.contributor.author 허재무 -
dc.date.accessioned 2020-07-15T09:52:38Z -
dc.date.available 2020-07-15T09:52:38Z -
dc.date.created 2020-02-11 -
dc.date.issued 2018-12-03 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/22836 -
dc.description.abstract The interdisciplinary field of ocean color remote sensing is experiencing tremendous growth. Geostationary Ocean Color Imager (GOCI), the world’s -
dc.description.uri 1 -
dc.language English -
dc.publisher JAMSTEC -
dc.relation.isPartOf 6th Asian Workshop on Ocean Color (AWOC) 2018 -
dc.title Ocean Color Algorithm Development Environment for GOCI-II Data Processing -
dc.type Conference -
dc.citation.conferencePlace JA -
dc.citation.endPage 40 -
dc.citation.startPage 40 -
dc.citation.title 6th Asian Workshop on Ocean Color (AWOC) 2018 -
dc.contributor.alternativeName 양현 -
dc.contributor.alternativeName 한희정 -
dc.contributor.alternativeName 허재무 -
dc.identifier.bibliographicCitation 6th Asian Workshop on Ocean Color (AWOC) 2018, pp.40 -
dc.description.journalClass 1 -
Appears in Collections:
Marine Digital Resources Department > Korea Ocean Satellite Center > 2. Conference Papers
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