| Abstrak/Abstract |
The development of remote sensing technology based on cloud computing is a significant concern, especially in providing convenience in processing and storing images for various importance. It can be utilized in hydrographic activities to determine depth values using the Satellite Derived Bathymetry (SDB) method. This research uses the Google Earth Engine (GEE) platform to estimate depth values using the SDB method with Stumpf and Lyzenga algorithms. The study area is the sea surrounding the island of Bangka Belitung, which has specific characteristics of water, such as depth, clarity, and type of seabed cover. The results of this research were evaluated using the Indonesian National Standard (SNI) 8202 of 2015 regarding the base map accuracy. Depth models were extracted using 2,662 sample data. The results show that the Stumpf model provides a better accuracy value than the Lyzenga model in 0-10m depth. But in 10-25m water depth, the Lyzenga model yields a better accuracy. The Lyzenga model obtained the best correlation value (R = 0.841), while the Stumpf model is 0.753. The best RMSE was obtained at 1.7m in a depth range of 0-5m by the Stumpf method. The accuracy results of the two empirical bathymetry models meet the requirements of SNI 8202 of 2015 regarding the Accuracy of the Base Map for LPI and LLN maps at a scale of 1: 50,000 with a 20 m contour interval. |
