Bathymetry mapping with empirical bathymetry method based on sentinel application platform case study: Bawean Island, Central Java

¹ National Research and Innovation Agency (BRIN), Research Center for Oceanography, 14430, Jakarta, Indonesia
² Faculty of Fisheries and Marine Science UNDIP, Department of Aquatic Resources Management, 50275, Semarang, Indonesia
³ National Research and Innovation Agency (BRIN), Research Center for Geoinformatics, 16911, Cibinong, Indonesia
⁴ National Research and Innovation Agency (BRIN), Center for Data and Information, 10340, Jakarta, Indonesia
⁵ National Research and Innovation Agency (BRIN), Research Center for Limnology and Water Resources, 16911, Cibinong, Indonesia

^* Corresponding author: kunteguhs@gmail.com

Abstract

Bathymetry information is an important requirement for the marine and fisheries sector in Indonesia. However, the acquisition of information is done in the traditional way, namely surveys using single/multibeam echosounder devices carried by ships. This method was inefficient, especially to cover a wider area. The development of remote sensing technology can be a solution and has become a source of data for satellite-derived bathymetry (SDB). One of the areas of concern in this research is the eastern waters of Bawean Island located in the Java Sea. This research uses the SNAP method to determine the results and accuracy of bathymetry mapping in shallow sea waters east of Bawean Island. This method is generated from regression modeling between spectral values of satellite image data and in-situ depth data. The satellite data used is the Sentinel-2A image recorded on December 9, 2022. The results showed that the Sentinel-2A satellite can produce depth information up to 27.9 meters. The coefficient of determination, R², is 86%, and the confusion matrix accuracy value is 75.21%.