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dc.citation.endPage 1613 -
dc.citation.number 6-2 -
dc.citation.startPage 1605 -
dc.citation.title Korean Journal of Remote Sensing -
dc.citation.volume 39 -
dc.contributor.author Kim, So-Hyun -
dc.contributor.author Kim, Dae-Won -
dc.contributor.author Jo, Young-Heon -
dc.date.accessioned 2024-02-15T17:35:11Z -
dc.date.available 2024-02-15T17:35:11Z -
dc.date.created 2024-02-15 -
dc.date.issued 2023-12 -
dc.description.abstract The physical properties of the ocean interior are determined by temperature and salinity. To observe them, we rely on satellite observations for broad regions of oceans. However, the satellite for salinity measurement, Soil Moisture Active Passive (SMAP), has low temporal and spatial resolutions; thus, more is needed to resolve the fast-changing coastal environment. To overcome these limitations, the algorithm to use the Geostationary Ocean Color Imager-II (GOCI-II) of the Geo-Kompsat-2B (GK-2B) was developed as the inputs for a Multi-layer Perceptron Neural Network (MPNN). The result shows that coefficient of determination (R2), root mean square error (RMSE), and relative root mean square error (RRMSE) between GOCI-II based sea surface salinity (SSS) (GOCI-II SSS) and SMAP was 0.94, 0.58 psu, and 1.87%, respectively. Furthermore, the spatial variation of GOCI-II SSS was also very uniform, with over 0.8 of R2 and less than 1 psu of RMSE. In addition, GOCI-II SSS was also compared with SSS of Ieodo Ocean Research Station (I-ORS), suggesting that the result was slightly low, which was further analyzed for the following reasons. We further illustrated the valuable information of high spatial and temporal variation of GOCI-II SSS to analyze SSS variation by the 11th typhoon, Hinnamnor, in 2022. We used the mean and standard deviation (STD) of one day of GOCI-II SSS, revealing the high spatial and temporal changes. Thus, this study will shed light on the research for monitoring the highly changing marine environment. Copyright © 2023 by The Korean Society of Remote Sensing. -
dc.identifier.bibliographicCitation Korean Journal of Remote Sensing, v.39, no.6-2, pp.1605 - 1613 -
dc.identifier.doi 10.7780/kjrs.2023.39.6.2.8 -
dc.identifier.issn 1225-6161 -
dc.identifier.scopusid 2-s2.0-85182897562 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/81399 -
dc.language 한국어 -
dc.publisher 대한원격탐사학회 -
dc.title.alternative GOCI-II 기반 저염분수 산출과 태풍 힌남노에 의한 시간별 염분 변화 -
dc.title GOCI-II Based Low Sea Surface Salinity and Hourly Variation by Typhoon Hinnamnor -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.type.docType Article -
dc.description.journalRegisteredClass scopus -
dc.description.journalRegisteredClass kci -
dc.subject.keywordAuthor East China Sea -
dc.subject.keywordAuthor GK-2B -
dc.subject.keywordAuthor GOCI-II -
dc.subject.keywordAuthor Ieodo ocean research station -
dc.subject.keywordAuthor Low sea surface salinity -
dc.subject.keywordAuthor Typhoon Hinnamnor -

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