Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Try the next-generation Data Catalog at catalog-beta.data.gov and help shape it with your feedback.

  • Feedback

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

    Metadata Updated: August 4, 2025

    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).

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    No file downloads have been provided. The publisher may provide downloads in the future or they may be available from their other links.

    References

    https://doi.org/10.3390/geomatics5030034

    Dates

    Metadata Created Date August 4, 2025
    Metadata Updated Date August 4, 2025

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date August 4, 2025
    Metadata Updated Date August 4, 2025
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1531724
    Data Last Modified 2024-08-15
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 17883e64-c75c-4679-b499-856e18b63bd1
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html
    Program Code 020:000
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.3390/geomatics5030034
    Source Datajson Identifier True
    Source Hash 8bfaf9a3ae8e10739000c3b38bedbe3b5c40de00c5952e6d60c8d88805a30528
    Source Schema Version 1.1

    Didn't find what you're looking for? Suggest a dataset here.