Abstract
Information on seafloor characteristics is one of the essential variables in coastal management and marine ecosystems. Application methods in remote sensing technology to study about characteristics of shallow waters have continuously been done. This research consists of two parts: an estimation of depth using Sentinel 2B satellite imagery with the Lyzenga algorithm and geomorphological classification of the benthic area using the Benthic Terrain Modeler (BTM) approach. BTM is a method to analyze benthic habitat and shallow water geomorphology. Integrated Depth data were analyzed using BTM to obtain bathymetric position index (BPI), slope, and classification of reef geomorphological structures. The resulting BPI value range is directly proportional to the given spatial area (scale factor). The slope is ranged between 0.01° – 19.24°, while optimum depth estimation is applicable until 10-meter. The values of BPI and slope were used as variables to classify the geomorphology of shallow water benthic areas based on the previous classification dictionary. Six geomorphological classes resulting from this study are Back Reef, Deep Depression, Depression, Lower Bank Shelf, Mid-Slope Ridges, and Reef Crest.
Highlights
Bathymetry is the primary information in mapping and studying the geomorphological structure of shallow-water habitats [1]
This research consists of two parts: an estimation of depth using Sentinel 2B satellite imagery with the Lyzenga algorithm and geomorphological classification of the benthic area using the Benthic Terrain Modeler (BTM) approach
The application of optical remote sensing in mapping shallow water depth is determined by the penetration of electromagnetic waves in sensors installed in each type of satellite [2]
Summary
Bathymetry is the primary information in mapping and studying the geomorphological structure of shallow-water habitats [1]. One algorithm utilizes the ratio of two optical bands penetrating into the water column until reaching the bottom [34] This algorithm is the basis for developing this algorithm due to differences in the spectral response of the water column and the bottom of the water to the electromagnetic waves at different wavelengths [4]. Wright et al [5] have developed an open-source package to study about geomorphological structure of shallowwater benthic habitats called Benthic Terrain Modeler (BTM) [5]. This study consists of two parts: estimating the depth of the waters using Sentinel 2B imagery with the Lyzenga algorithm and geomorphological classification of the benthic area using the BTM
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