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).