Geomatics, Volume 5, Issue 3
2025 September - 22 articles
Cover Story: Accurate and cost-effective bathymetry is essential for coastal research, navigation safety, and habitat monitoring. This study develops an ensemble model, CatBoostOpt, to estimate bathymetry from high-resolution WorldView-2 multispectral imagery by learning correlations between the imagery and in situ Sound Navigation and Ranging (SONAR) bathymetry measurements collected along the survey trajectory. Validation across the Florida Big Bend coastline demonstrated that CatBoostOpt achieved an RMSE of 0.34 m and a coefficient of determination (R2) of 0.87, outperforming linear models, SVMs, random forests, and deep neural networks. These results highlight the effectiveness and scalability of data-driven multispectral bathymetry for complex coastal settings. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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