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Ensemble Machine Learning Approaches for Bathymetry Estimation in Multi-spectral Images
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Organization
United State Environmental Protection Agency - view all
Update frequencyunknown
Last updated4 days ago
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Overview

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).

bathymetrycoastal oceansatelliteseagrasswater quality
Additional Information
KeyValue
Dcat Modified2024-08-15
Dcat Publisher NameU.S. EPA Office of Research and Development (ORD)
Guidhttps://doi.org/10.23719/1531724
Harvest Object Id7149833a-d0e1-452a-a8c9-2c1a9a3f0adb
Harvest Source Idb8e63f83-bbb9-45d3-a3de-09607cc9ff8a
Harvest Source TitleUSEPA Environmental Dataset Gateway
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