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    • SMAPVEX19-22 Massachusetts Lidar Derived Digital Surface Model V001

    Metadata Updated: April 10, 2025

    These digital surface model (DSM) data consist of surface elevations derived from source lidar measurements collected in August 2022 in the vicinity of Petersham, MA during the SMAPVEX19-22 campaign. The location was selected due to its forested land cover, as SMAPVEX19-22 aims to validate satellite derived soil moisture estimates in forested areas. The August collection period was selected to characterize ‘leaf-on’ conditions. DSM data represents the highest elevation of features on the Earth’s surface, which may include bare-earth, vegetation, and human-made objects.

    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 February 25, 2025
    Metadata Updated Date April 10, 2025

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date February 25, 2025
    Metadata Updated Date April 10, 2025
    Publisher NASA NSIDC DAAC
    Maintainer
    Identifier C3286116759-NSIDC_CPRD
    Data First Published 2022-08-03
    Language en-US
    Data Last Modified 2025-03-31
    Category geospatial
    Public Access Level public
    Bureau Code 026:00
    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 d45bfa69-623b-4a20-9018-6731e1080875
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.5067/PCJ5Z3NN0T1G
    Metadata Type geospatial
    Old Spatial -72.33 42.32 -71.91 42.72
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 07ea67ceb798767cc3d9a89c748ad804e27c2ed6fdaa0c2d3eba0f24d75cc50b
    Source Schema Version 1.1
    Spatial
    Temporal 2022-08-03T00:00:00Z/2022-08-05T23:59:59.999Z

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