Hourly variation of green tide in the Yellow Sea during summer 2015 and 2016 using Geostationary Ocean Color Imager data SCIE SCOPUS

DC Field Value Language
dc.contributor.author Harun-Al-Rashid, Ahmed -
dc.contributor.author Yang, Chan-Su -
dc.date.accessioned 2020-04-16T09:40:14Z -
dc.date.available 2020-04-16T09:40:14Z -
dc.date.created 2020-01-28 -
dc.date.issued 2018 -
dc.identifier.issn 0143-1161 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/1067 -
dc.description.abstract In this study, hourly shift of green tide (GT) in the Yellow Sea (YS) during summer of 2015 and 2016 is investigated using Geostationary Ocean Color Imager-based normalized difference vegetation index images. The GT started blooming around 45 and 8km away from the coasts in the western parts of the YS during May 2015 and May 2016, respectively. The GT patches shifted northwards during June, and afterwards were spread out into the western and central YS until early July. During those periods, their average speeds were estimated as 1.97 +/- 0.80 and 1.51 +/- 0.55km h(-1) in 2015 and 2016, respectively. In spite of the significant hourly shift speeds, they did not move much for a day due to frequent direction changes between hours. By July, most of the GT patches dissipated from the YS; however, far apart in Korea Bay and offshore Gyeonggi Bay, Korea, some small short-lived patches were traced during August. GT coverage in 2016 increased considerably than those of 2015 and 2008 by almost 23% and 100%, respectively, which might have facilitated by a 2-3 degrees sea surface temperature rise. This study provides an insight on hourly temporal dynamics which would be helpful for monitoring their changes and distribution. -
dc.description.uri 1 -
dc.language English -
dc.publisher TAYLOR & FRANCIS LTD -
dc.subject MACROALGAL BLOOMS -
dc.subject CHINA -
dc.subject AQUACULTURE -
dc.subject QUALITY -
dc.subject ALGAE -
dc.title Hourly variation of green tide in the Yellow Sea during summer 2015 and 2016 using Geostationary Ocean Color Imager data -
dc.type Article -
dc.citation.endPage 4415 -
dc.citation.startPage 4402 -
dc.citation.title INTERNATIONAL JOURNAL OF REMOTE SENSING -
dc.citation.volume 39 -
dc.citation.number 13 -
dc.contributor.alternativeName AHMED -
dc.contributor.alternativeName 양찬수 -
dc.identifier.bibliographicCitation INTERNATIONAL JOURNAL OF REMOTE SENSING, v.39, no.13, pp.4402 - 4415 -
dc.identifier.doi 10.1080/01431161.2018.1457228 -
dc.identifier.scopusid 2-s2.0-85044758955 -
dc.identifier.wosid 000442287300009 -
dc.type.docType Article; Proceedings Paper -
dc.description.journalClass 1 -
dc.subject.keywordPlus MACROALGAL BLOOMS -
dc.subject.keywordPlus CHINA -
dc.subject.keywordPlus AQUACULTURE -
dc.subject.keywordPlus QUALITY -
dc.subject.keywordPlus ALGAE -
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 -
Appears in Collections:
Sea Power Enhancement Research Division > Marine Domain & Security Research Department > 1. Journal Articles
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