| Summary: | A hydrographic survey can be a cumbersome sometimes. The data can be sparse, providing it can be costly, and it took a lot of manpower and time. Space-borne data like multispectral images can be a helpful tool towards hydrographic survey, especially in the shallow water area. The company like EOMAP and TCARTA make use of Satellite-Derived Bathymetry (SDB) as a tool and product. Would it be great if it also can be applied in Malaysia, especially on the low-risk job or survey planning? Enlarging the survey area and providing a continuous and detailed water depth information is the main objective in this research. In order to complement with convenience and cost reduction, the author used Landsat 8 "(free downloadable images)"in this research. Structuring the procedure is the central part of the process involving pre-processing and processing step until the final product obtained. In this research, the author used various kind of bathymetry algorithms such as Single-Band Algorithm (SBA), Green-Band Algorithm (GBA), and Stumpf. Moreover, the author also uses Principal Component Analysis (PCA) tool from ArcMap and Spear Relative Water Depth: Log-Ratio Transform tool from ENVI to derived bathymetry. All of this bathymetry algorithm gives out a different concept with a different statistical approach. The final result then will be compared and evaluated with Single-Beam Echosounder data (ground truth). © Published under licence by IOP Publishing Ltd.
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