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    • This is a Non-Federal dataset covered by different Terms of Use than Data.gov.

    Impervious Surface 2019

    Metadata Updated: February 5, 2025

    The dataset contains basemap features that are typically classified as impervious surface, captured in 2019. Some examples of Impervious Surfaces include: Airport Taxiways, Helipads, Outdoor Building Stairs, Buildings, Sidewalks, Roads, Alleys, Driveways, and Swimming Pools.

    Access & Use Information

    Public: This dataset is intended for public access and use. Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: Creative Commons Attribution

    Downloads & Resources

    Dates

    Metadata Created Date April 30, 2024
    Metadata Updated Date February 5, 2025

    Metadata Source

    Harvested from DC data

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date April 30, 2024
    Metadata Updated Date February 5, 2025
    Publisher Office of the Chief Technology Officer
    Maintainer
    Identifier https://www.arcgis.com/home/item.html?id=72938a28c78747a6bdf7b46e3d54da42&sublayer=78
    Data First Published 2020-04-14T14:24:29.000Z
    Data Last Modified 2024-09-26T14:36:52.000Z
    Category geospatial
    Public Access Level public
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 1419cac3-c046-44a5-ad9c-0b60e2f18632
    Harvest Source Id b05f955a-65d6-4288-9558-15a5ebc74e36
    Harvest Source Title DC data
    Homepage URL https://opendata.dc.gov/datasets/DCGIS::impervious-surface-2019
    License https://creativecommons.org/licenses/by/4.0
    Metadata Type geospatial
    Old Spatial -77.1176,38.7923,-76.9093,38.9956
    Source Datajson Identifier True
    Source Hash b9b3dc8896efc50c4a3112339d4297bc849547b1a2d86e7c5e1f6f44c39b007c
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -77.1176, 38.7923, -77.1176, 38.9956, -76.9093, 38.9956, -76.9093, 38.7923, -77.1176, 38.7923}

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