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    • 30-m Diurnal Anisotropic Heating Index

    Metadata Updated: January 14, 2026

    The lidar Diurnal Anisotropic Heating Index (DAH) is the DA data product produced and distributed by the National Park Service, Great Smoky Mountains National Park.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date January 14, 2026
    Metadata Updated Date January 14, 2026

    Metadata Source

    Harvested from DOI NPS DCAT-US

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 14, 2026
    Metadata Updated Date January 14, 2026
    Publisher National Park Service
    Maintainer
    Identifier http://datainventory.doi.gov/id/dataset/NPS_DataStore_2209666
    Data First Published 2014-04-15T00:00:00Z
    Data Last Modified 2014-04-15T00:00:00Z
    Category Raster Dataset
    Public Access Level public
    Bureau Code 010:24
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://ddi.doi.gov/nps-data.json
    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 0a72720b-037f-46ee-a4f8-be2e0a62d38f
    Harvest Source Id d917c1a9-26b7-43ea-b8c5-c77ec750a850
    Harvest Source Title DOI NPS DCAT-US
    Homepage URL https://irma.nps.gov/DataStore/Reference/Profile/2209666
    Old Spatial -84.0139,35.42586,-83.0425,35.84241
    Program Code 010:118, 010:119
    Source Datajson Identifier True
    Source Hash 5b5e1fe28734f69cedf93c940073ed8a21a9199564c81ae17e829dde02a6b2bd
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -84.0139, 35.42586, -84.0139, 35.84241, -83.0425, 35.84241, -83.0425, 35.42586, -84.0139, 35.42586}

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