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    • Copyright images from Digital Globe WorldView satellite

    Metadata Updated: January 24, 2022

    Copyright images from Digital Globe WorldView satellite. This dataset is not publicly accessible because: Copyright images from Digital Globe WorldView satellite. It can be accessed through the following means: Copyright images from Digital Globe WorldView satellite. Format: Copyright images from Digital Globe WorldView satellite.

    This dataset is associated with the following publication: Aminul Islam, K., V. Hill, B. Schaeffer, R. Zimmerman, and J. Li. Semi-supervised Adversarial Domain Adaptation for Seagrass Detection Using Multispectral Images in Coastal Areas. Data Science and Engineering. Springer Nature Group, New York, NY, 5: 111–125, (2020).

    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/10.1007/s41019-020-00126-0

    Dates

    Metadata Created Date January 24, 2022
    Metadata Updated Date January 24, 2022

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 24, 2022
    Metadata Updated Date January 24, 2022
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1518473
    Data Last Modified 2020-03-24
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 6befadc7-d178-4fd4-9afd-f4b94d0d42ac
    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/10.1007/s41019-020-00126-0
    Source Datajson Identifier True
    Source Hash af7fede6458b85bc6670295992cf2110802acbf2
    Source Schema Version 1.1

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