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DC Field | Value | Language |
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dc.contributor.author | Nur Farhana Md Zahair | - |
dc.date.accessioned | 2019-01-17T03:21:38Z | - |
dc.date.available | 2019-01-17T03:21:38Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | http://umt-ir.umt.edu.my:8080/xmlui/handle/123456789/11570 | - |
dc.description.abstract | This 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.iso | en | en_US |
dc.publisher | Universiti Malaysia Terengganu | en_US |
dc.subject | Nur Farhana Md Zahair | en_US |
dc.subject | LP 7 PPSMS 2 2017 | en_US |
dc.title | Remote estimation of sea surface salinity (SSS) from satellite-derived cdom in coastal watrer of Terengganu | en_US |
dc.type | Working Paper | en_US |
Appears in Collections: | Pusat Pengajian Sains Marin & Sekitaran |
Files in This Item:
File | Description | Size | Format | |
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LP 7 PPSMS 2 2017 Abstract.pdf | 912.8 kB | Adobe PDF | View/Open | |
LP 7 PPSMS 2 2017 Full text.pdf Restricted Access | 2.69 MB | Adobe PDF | View/Open Request a copy |
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