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Analysis of red tide hot spots in the south sea of Gyeongnam Province using the GOCI images of COMS
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, D.G. | - |
| dc.contributor.author | Jung, Y.H. | - |
| dc.contributor.author | Yoo, H.H. | - |
| dc.date.accessioned | 2022-12-26T22:46:58Z | - |
| dc.date.available | 2022-12-26T22:46:58Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.issn | 1598-4850 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/18491 | - |
| dc.description.abstract | The area of red tides occurences, which brings enormous damages every year, have been expanded to the coastal waters across the nation. Regarding to this trend, the development of red tide detection technology by using the GOCI (Geostationary Ocean Color Imager) of COMS lauched in 2010 has been drawn attentions of researchers. This study purposed on analyzing the frequency and density of red tides occurence by using the GOCI for detecting the southern sea, whereas targeted area. The observation has brought over the last three years (2012, 2013, and 2014) before the analysis was conducted. Followingly, the study could be resulted in extracting and revealing the hot spots of the red tides from two of analysis in the overlay and density. The distribution patterns of red tide occurrences according to those observed years has been shown in irregular characteristics and various changes. However, the analysis of hot spots, based on the frequency of the red tide occurrence, has revealed that the frequency of red tide occurences is continuously increased in the specific sea area. Therefore, it is concluded in that the continuous monitoring can contribute to predict accurate movements of red tides, so as establish systematic plans for preventing disasters. ? 2015, Korean Society of Surveying. All rights reserved. | - |
| dc.format.extent | 9 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | Korean Society of Surveying | - |
| dc.title | Analysis of red tide hot spots in the south sea of Gyeongnam Province using the GOCI images of COMS | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.7848/ksgpc.2015.33.5.353 | - |
| dc.identifier.scopusid | 2-s2.0-84978998165 | - |
| dc.identifier.bibliographicCitation | Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, v.33, no.5, pp 353 - 361 | - |
| dc.citation.title | Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography | - |
| dc.citation.volume | 33 | - |
| dc.citation.number | 5 | - |
| dc.citation.startPage | 353 | - |
| dc.citation.endPage | 361 | - |
| dc.type.docType | Article | - |
| dc.identifier.kciid | ART002046106 | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Density analysis | - |
| dc.subject.keywordAuthor | GOCI imagery of COMS | - |
| dc.subject.keywordAuthor | Overlay analysis | - |
| dc.subject.keywordAuthor | Red tide | - |
| dc.subject.keywordAuthor | Red tide hot spots in sea areas | - |
| dc.subject.keywordAuthor | The frequency of the red tide occurrence | - |
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