Diurnal variation of NDVI from an unprecedented high-resolution geostationary ocean colour satellite SCIE SCOPUS

DC Field Value Language
dc.contributor.author Uudus, Bayarsaikhan -
dc.contributor.author Park, Kyung-Ae -
dc.contributor.author Kim, Kyung-Ryul -
dc.contributor.author Kim, Joon -
dc.contributor.author Ryu, Joo-Hyung -
dc.date.accessioned 2020-04-20T05:40:23Z -
dc.date.available 2020-04-20T05:40:23Z -
dc.date.created 2020-01-28 -
dc.date.issued 2013-07-01 -
dc.identifier.issn 2150-704X -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/3149 -
dc.description.abstract The Geostationary Ocean Color Imager (GOCI) is the first ocean-colour geostationary satellite sensor which provides hourly 500-m, multi-spectral band data. We present the first exhibit of the spatio-temporal variations of Normalized Difference Vegetation Index (NDVI) values from unprecedented GOCI data. Comparisons of NDVIs from GOCI and in-situ reflectances, with GOCI spectral response functions applied, indicate fairly good correlations (r approximate to 0.991). 500-m GOCI NDVI data revealed clear, bell-shaped diurnal variations with a maximum at 12:30 PM followed by a rapid decline in the afternoon. This study also presented the first exhibit of diurnal responses by different forest species, in this case deciduous broadleaf, evergreen and grassland types of species, with high correlations between the observed and estimated NDVIs. All of the plant species demonstrated a similar type of diurnal variation with a characteristic bell-shaped pattern. These findings can enhance our understanding of the relationship between land ecology and carbon dioxide flux. -
dc.description.uri 1 -
dc.language English -
dc.publisher TAYLOR & FRANCIS LTD -
dc.title Diurnal variation of NDVI from an unprecedented high-resolution geostationary ocean colour satellite -
dc.type Article -
dc.citation.endPage 647 -
dc.citation.startPage 639 -
dc.citation.title REMOTE SENSING LETTERS -
dc.citation.volume 4 -
dc.citation.number 7 -
dc.contributor.alternativeName 유주형 -
dc.identifier.bibliographicCitation REMOTE SENSING LETTERS, v.4, no.7, pp.639 - 647 -
dc.identifier.doi 10.1080/2150704X.2013.781285 -
dc.identifier.scopusid 2-s2.0-85008470858 -
dc.identifier.wosid 000318592600003 -
dc.type.docType Article -
dc.description.journalClass 1 -
dc.relation.journalWebOfScienceCategory Remote Sensing -
dc.relation.journalWebOfScienceCategory Imaging Science & Photographic Technology -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Remote Sensing -
dc.relation.journalResearchArea Imaging Science & Photographic Technology -
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Marine Digital Resources Department > Korea Ocean Satellite Center > 1. Journal Articles
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