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Ensemble Machine Learning Approaches for Bathymetry Estimation in Multi-spectral Images

Published by U.S. EPA Office of Research and Development (ORD) | U.S. Environmental Protection Agency | Metadata Last Checked: August 04, 2025 | Last Modified: 2024-08-15
Kazi Aminul Islam at Kennesaw State University is the owner of the analysis data. Contact the lead author at kislam4@kennesaw.edu. This dataset is not publicly accessible because: NGA Nextview and NASA Commercial Data Buy license agreements prohibit the distribution of original data files from WorldView due to copyright. It can be accessed through the following means: N/A. Format: Original data files from WorldView. This dataset is associated with the following publication: Islam, K., O. Abul-Hassan, H. Zhang, V. Hill, B. Schaeffer, R. Zimmerman, and J. Li. Ensemble Machine Learning Approaches for Bathymetry Estimation in Multi-Spectral Images. Geomatics. MDPI, Basel, SWITZERLAND, 5(3): 34, (2025).

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