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    <title>DSpace Collection:</title>
    <link>http://umt-ir.umt.edu.my:8080/handle/123456789/11338</link>
    <description />
    <pubDate>Mon, 06 Apr 2026 02:16:13 GMT</pubDate>
    <dc:date>2026-04-06T02:16:13Z</dc:date>
    <item>
      <title>Remote estimation of sea surface salinity (SSS) from satellite-derived cdom in coastal watrer of Terengganu</title>
      <link>http://umt-ir.umt.edu.my:8080/handle/123456789/11570</link>
      <description>Title: Remote estimation of sea surface salinity (SSS) from satellite-derived cdom in coastal watrer of Terengganu
Authors: Nur Farhana Md Zahair
Abstract: This study focuses on empirical closure to the estimation of sea surface salinity (SSS)&#xD;
by using remote sensing of ocean colour. There are two types of important&#xD;
relationship of water optical properties. The first includes the understanding of&#xD;
characteristics of coloured dissolved organic matter (CDOM) along the conservative&#xD;
mixing in salinity gradient. The second one is the relationship between CDOM and&#xD;
water-leaving radiance (upwelling and downwelling radiance). Based on the analysis&#xD;
that we have conducted using statistical analysis, the best CDOM absorption in ultra­&#xD;
violet wavelength such as 350nm and 380nm can be estimated using blue green ratio&#xD;
as Rrs (412/547) with value ofR&#xD;
2 &#xD;
= 0.9018. Next, the seasonal dynamic of salinity in&#xD;
coastal water area is determined from satellite ocean colour. During wet and well­&#xD;
mixed season (Northeast Monsoon) CDOM was almost mixing up well with salinity&#xD;
but acted vice versa during the dry season (Southwest Monsoon). With these results,&#xD;
CDOM and salinity can be estimated by satellite ocean colour as well.</description>
      <pubDate>Sun, 01 Jan 2017 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://umt-ir.umt.edu.my:8080/handle/123456789/11570</guid>
      <dc:date>2017-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Oxidative stress responeses in bivalsves from Setiu Wetland</title>
      <link>http://umt-ir.umt.edu.my:8080/handle/123456789/11569</link>
      <description>Title: Oxidative stress responeses in bivalsves from Setiu Wetland
Authors: Nor Fairuz Nadhirah Ruslan
Abstract: Oxidative stress refers to situations that occur when there is an imbalance of&#xD;
production and neutralization of reactive oxygen species (ROS) by antioxidants&#xD;
caused by excessive generation of ROS and/or loss of antioxidant that can cause&#xD;
oxidative damage and glutathione reductase (GR) is used as biomarker that acts as&#xD;
protector in the mechanism against that damage. Bivalves are the bio-indicator in this&#xD;
study because they are widely used in environmental toxicology studies that capable&#xD;
to show a rapid antioxidant response towards pollutant and as a human food sources.&#xD;
This study focus on oysters (Crassostrea iredalei) and mussels (Anadara ova/is)&#xD;
which are the common species that mostly found in Setiu Wetland, Terengganu. The&#xD;
samples were analysing on tissues-specific relation of oxidative stress to GR by&#xD;
measuring the reduction of NADPH at 340nm. Before that, protein mass&#xD;
determination using Bradford method is needed to estimate the specific activity of the&#xD;
GR. The outcome shows that the GR activities in gills for both species are greater&#xD;
than digestive glands.</description>
      <pubDate>Sun, 01 Jan 2017 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://umt-ir.umt.edu.my:8080/handle/123456789/11569</guid>
      <dc:date>2017-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Object based image analysis fpr predictive substrate distribution map using multibeam echo sounder (MBES) and backscatter in Bidong Island</title>
      <link>http://umt-ir.umt.edu.my:8080/handle/123456789/11568</link>
      <description>Title: Object based image analysis fpr predictive substrate distribution map using multibeam echo sounder (MBES) and backscatter in Bidong Island
Authors: Norazainee Anuar
Abstract: This study conducted to map a seafloor substrate and the area that was covered was in &#xD;
South West of Bidong Island which located in Terengganu. The first part aims is to &#xD;
delineate meaningful pattern of substrate distribution in backscatter and multibeam &#xD;
bathymetry using Object Based Image Analysis (OBIA) and the second part classifies type &#xD;
of seafloor substrate using multibeam bathymetry and backscatter data. An acquisition of &#xD;
acoustic for multibeam bathymetry, backscatter mosaic and ground truth data in South &#xD;
West of Bi dong Island is used to characterize the sea floor substrate. Acoustic data of were &#xD;
collected R2Sonic 2020. For ground truth data, sample of sediment has been grab and &#xD;
classified based on its texture from triangle plot, thus classifying the sediment as coarse &#xD;
sand and very coarse sand. The data of mutibeam bathymetry, backscatter image and &#xD;
parameters from mutibeam were used for predicting the type of substrate that can be found &#xD;
on these seafloor. These combination of data were runs using Benthic Terrain Modeler &#xD;
(BTM), ISO Cluster unsupervised and Remote Sensing Object Based Image Analysis &#xD;
(RSOBIA).</description>
      <pubDate>Sun, 01 Jan 2017 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://umt-ir.umt.edu.my:8080/handle/123456789/11568</guid>
      <dc:date>2017-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Vertical profile of metallic tracevelements in sediment cores from Terengganu waters</title>
      <link>http://umt-ir.umt.edu.my:8080/handle/123456789/11567</link>
      <description>Title: Vertical profile of metallic tracevelements in sediment cores from Terengganu waters
Authors: Kong Sher-Rine
Abstract: This study conducted to map a seafloor substrate and the area that was covered was in &#xD;
South West of Bidong Island which located in Terengganu. The first part aims is to &#xD;
delineate meaningful pattern of substrate distribution in backscatter and multibeam &#xD;
bathymetry using Object Based Image Analysis (OBIA) and the second part classifies type &#xD;
of seafloor substrate using multibeam bathymetry and backscatter data. An acquisition of &#xD;
acoustic for multibeam bathymetry, backscatter mosaic and ground truth data in South &#xD;
West of Bi dong Island is used to characterize the sea floor substrate. Acoustic data of were &#xD;
collected R2Sonic 2020. For ground truth data, sample of sediment has been grab and &#xD;
classified based on its texture from triangle plot, thus classifying the sediment as coarse &#xD;
sand and very coarse sand.</description>
      <pubDate>Sun, 01 Jan 2017 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://umt-ir.umt.edu.my:8080/handle/123456789/11567</guid>
      <dc:date>2017-01-01T00:00:00Z</dc:date>
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