Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/11570
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dc.contributor.authorNur Farhana Md Zahair-
dc.date.accessioned2019-01-17T03:21:38Z-
dc.date.available2019-01-17T03:21:38Z-
dc.date.issued2017-
dc.identifier.urihttp://umt-ir.umt.edu.my:8080/xmlui/handle/123456789/11570-
dc.description.abstractThis study focuses on empirical closure to the estimation of sea surface salinity (SSS) by using remote sensing of ocean colour. There are two types of important relationship of water optical properties. The first includes the understanding of characteristics of coloured dissolved organic matter (CDOM) along the conservative mixing in salinity gradient. The second one is the relationship between CDOM and water-leaving radiance (upwelling and downwelling radiance). Based on the analysis that we have conducted using statistical analysis, the best CDOM absorption in ultra­ violet wavelength such as 350nm and 380nm can be estimated using blue green ratio as Rrs (412/547) with value ofR 2 = 0.9018. Next, the seasonal dynamic of salinity in coastal water area is determined from satellite ocean colour. During wet and well­ mixed season (Northeast Monsoon) CDOM was almost mixing up well with salinity but acted vice versa during the dry season (Southwest Monsoon). With these results, CDOM and salinity can be estimated by satellite ocean colour as well.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Terengganuen_US
dc.subjectNur Farhana Md Zahairen_US
dc.subjectLP 7 PPSMS 2 2017en_US
dc.titleRemote estimation of sea surface salinity (SSS) from satellite-derived cdom in coastal watrer of Terengganuen_US
dc.typeWorking Paperen_US
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