Shallow-Water Bathymetry Estimation Using Single Band Algorithm and Green Band Algorithm

The provision of more comprehensive bathymetric data, for not just apply to the modern marine application but also the development of national data infrastructure. This demand has created a series of development in bathymetric data acquisition throughout the year from the lead line, ship-borne sounding, to air-borne Lidar. However, it has pros and cons in each bathymetric data acquisition related to cost, time, manpower and accessibility. The integration idea drives from the successful of Satellite-Derived Bathymetry technique in solving the problem, moreover, this the way to achieve the data with a uniform resolution in acceptable time and cost. Therefore, this study conducted to generate bathymetric mapping at '‘Pantai Tok Jembal'’ using Single Band Algorithm (SBA) for two visible bands (Blue and Green) and Green Band Algorithm (GBA). Two comparative analysis conducted in this study first is between SBA-Blue and SBA-Green to evaluate the ability of each band to estimate bathymetry at '‘Pantai Tok Jembal'’ shallow-coastal water area and while second is between SBA-Green and GBA method to evaluate the ability of each statistical approach in computing absolute water depth. Further, the result evaluated using SBES ground truth data. The root mean square error (RMSE) and R-squared (R2) computed between Single Beam Echo Sounding (SBES) data and Satellite-Derived Bathymetry (SBA and GBA), and the result shows that SBA-Green stand out in both analysis; moreover, this study successfully produces 49.69 km2 area (Extended Area) bathymetric mapping at '‘Pantai Tok Jembal'’, Terengganu, Malaysia. However, to support marine application and national data infrastructure, it requires more comprehensive bathymetric data which is giving high in accuracy and reliability, further research needs to undertake to fulfil this support