해색위성영상에 대한 탁한 연안 해수에서의 대기 신호 보정

DC Field Value Language
dc.contributor.author 안유환 -
dc.contributor.author Shanmugam -
dc.contributor.author 유주형 -
dc.date.accessioned 2020-07-17T05:30:40Z -
dc.date.available 2020-07-17T05:30:40Z -
dc.date.created 2020-02-11 -
dc.date.issued 2006-11-13 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/30759 -
dc.description.abstract Geostationary Ocean Color Imager (GOCI) onboard its Communication Ocean and Meteorological Satellite (COMS) is scheduled for launch in 2008. GOCI includes the eight visible-to-near-infrared (NIR) bands, 0.5km pixel resolution, and a coverage region of 2500  2500km centered at 36N and 130E. GOCI has had the scope of its objectives broadened to understand the role of the oceans and ocean productivity in the climate system, biogeochemical variables, geological and biological response to physical dynamics and to detect and monitor toxic algal blooms of notable extension through observations of ocean color. To achieve these mission objectives, it is necessary to develop an atmospheric correction technique which is capable of delivering geophysical products, particularly for highly turbid coastal regions that are often dominated by strongly absorbing aerosols from the adjacent continental/desert areas. In this paper, we present a more realistic and cost-effective atmospheric correction method which takes into account the contribution of NIR radiances and include specialized models for strongly absorbing aerosols. This method was tested extensively on SeaWiFS ocean color imagery acquired over the Northwest Pacific waters. While the standard SeaWiFS atmospheric correction algorithm showed a pronounced overcorrection in the violet/blue or a complete failure in the presence of strongly absorbing aerosols (Asian dust or Yellow dust) over these regions, the new method was able to retrieve the water-leaving radiance and chlorophyll concentrations that were consistent with the in-situ observations. Such comparison demonstrated the efficiency of the new method in terms of removing the effects of highly absorbing aerosols and improving the accuracy of water-leaving radiance and chlorophyll retrievals with SeaWiFS imagery. -
dc.description.uri 1 -
dc.language English -
dc.publisher SPIE – The International Society for Optical Engineering Washington, USA -
dc.relation.isPartOf SPIE Asia Pacific Remote Sensing -
dc.title 해색위성영상에 대한 탁한 연안 해수에서의 대기 신호 보정 -
dc.title.alternative Atmospheric correction of satellite ocean color imagery in turbid coastal waters -
dc.type Conference -
dc.citation.endPage 6 -
dc.citation.startPage 1 -
dc.citation.title SPIE Asia Pacific Remote Sensing -
dc.contributor.alternativeName 안유환 -
dc.contributor.alternativeName Shanmugam -
dc.contributor.alternativeName 유주형 -
dc.identifier.bibliographicCitation SPIE Asia Pacific Remote Sensing, pp.1 - 6 -
dc.description.journalClass 1 -
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Marine Digital Resources Department > Korea Ocean Satellite Center > 2. Conference Papers
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