Pemetaan cepat batimetri perairan dangkal menggunakan citra Sentinel-2 dan Google Earth Engine di Perairan Tanjung Kelayang – Pulau Belitung

Bathymetric maps of shallow waters can aid in managing, monitoring, and protecting ecosystems within them. However, the availability of bathymetric maps for shallow water regions in Indonesia still needs to be improved. Therefore, a method of rapid mapping for bathymetry in shallow waters in Indonesia is needed. This study attempts to apply an automated method for mapping shallow water bathymetry in Tanjung Kelayang using the blue and green bands of the clean-coastal-water mosaic of Sentinel-2 images, chlorophyll-a data from aqua-MODIS, and the Google Earth Engine (GEE) platform. This research aims to test the reliability of the rapid bathymetry mapping method using Sentinel-2 image mosaics, chlorophyll-a data, and band-ratio algorithms on the GEE platform in the study area. The results of the study show that the Satellite Derived Bathymetry (SDB) model has an R2 value of 0,62, a mean absolute error (MAE) of 1,77 meters, and a root mean square error (RMSE) of 2,02 meters, with an estimated optimal depth value of 5 meters and a maximum depth value of 10 meters. Thus, the generated SDB model can be considered a reliable alternative for rapid bathymetry mapping in shallow waters, although it may compromise the accuracy of the resulting bathymetric maps.