http://umt-ir.umt.edu.my:8080/handle/123456789/11338 2026-04-06T02:16:13Z http://umt-ir.umt.edu.my:8080/handle/123456789/11570 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) 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. 2017-01-01T00:00:00Z http://umt-ir.umt.edu.my:8080/handle/123456789/11569 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 production and neutralization of reactive oxygen species (ROS) by antioxidants caused by excessive generation of ROS and/or loss of antioxidant that can cause oxidative damage and glutathione reductase (GR) is used as biomarker that acts as protector in the mechanism against that damage. Bivalves are the bio-indicator in this study because they are widely used in environmental toxicology studies that capable to show a rapid antioxidant response towards pollutant and as a human food sources. This study focus on oysters (Crassostrea iredalei) and mussels (Anadara ova/is) which are the common species that mostly found in Setiu Wetland, Terengganu. The samples were analysing on tissues-specific relation of oxidative stress to GR by measuring the reduction of NADPH at 340nm. Before that, protein mass determination using Bradford method is needed to estimate the specific activity of the GR. The outcome shows that the GR activities in gills for both species are greater than digestive glands. 2017-01-01T00:00:00Z http://umt-ir.umt.edu.my:8080/handle/123456789/11568 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 South West of Bidong Island which located in Terengganu. The first part aims is to delineate meaningful pattern of substrate distribution in backscatter and multibeam bathymetry using Object Based Image Analysis (OBIA) and the second part classifies type of seafloor substrate using multibeam bathymetry and backscatter data. An acquisition of acoustic for multibeam bathymetry, backscatter mosaic and ground truth data in South West of Bi dong Island is used to characterize the sea floor substrate. Acoustic data of were collected R2Sonic 2020. For ground truth data, sample of sediment has been grab and classified based on its texture from triangle plot, thus classifying the sediment as coarse sand and very coarse sand. The data of mutibeam bathymetry, backscatter image and parameters from mutibeam were used for predicting the type of substrate that can be found on these seafloor. These combination of data were runs using Benthic Terrain Modeler (BTM), ISO Cluster unsupervised and Remote Sensing Object Based Image Analysis (RSOBIA). 2017-01-01T00:00:00Z http://umt-ir.umt.edu.my:8080/handle/123456789/11567 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 South West of Bidong Island which located in Terengganu. The first part aims is to delineate meaningful pattern of substrate distribution in backscatter and multibeam bathymetry using Object Based Image Analysis (OBIA) and the second part classifies type of seafloor substrate using multibeam bathymetry and backscatter data. An acquisition of acoustic for multibeam bathymetry, backscatter mosaic and ground truth data in South West of Bi dong Island is used to characterize the sea floor substrate. Acoustic data of were collected R2Sonic 2020. For ground truth data, sample of sediment has been grab and classified based on its texture from triangle plot, thus classifying the sediment as coarse sand and very coarse sand. 2017-01-01T00:00:00Z