The study of sea bottom morphology and bathymetric mapping using worldview-2 imagery

Abstract

Benthic habitat identification is highly associated with reef or sea bottom morphology. Penetration of multispectral bands gives benefits to identification of sea bottom morphology which could be improved by bathymetric mapping. The purpose of this study is to improve methodology of the sea bottom morphology and bathymetric mapping using Worldview-2 imagery. Sea bottom morphology mapping can also assist identification of benthic habitat in the shallow water. The approach of this study is by using several image transformations assisted by depth in situ measurement. In addition, some image classifications and transformations are also used to improve the sea bottom morphology and bathymetric mapping. The study site is around Panggang Island, Jakarta. The result of this study shows that image-based bathymetric estimation model provides best accuracy among others with varied shallow-water bottom morphology with highest R2 of 0.711 and depth residual at 0.538 m. The result accuracy is assessed by using information from depth in situ measurement.