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    • ABoVE LVIS L1A Geotagged Images V001

    Metadata Updated: April 10, 2025

    This data set contains geotagged images collected over Alaska and Western Canada. The images were taken by the NASA Digital Mapping Camera, paired with the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).

    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 November 12, 2020
    Metadata Updated Date April 10, 2025

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date April 10, 2025
    Publisher NASA NSIDC DAAC
    Maintainer
    Identifier C1673546369-NSIDC_ECS
    Data First Published 2017-06-29
    Language en-US
    Data Last Modified 2025-03-31
    Category ABoVE, 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 4cb9cd78-78de-4e75-8182-3e70ba5fe595
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.5067/4O5WY1ORYWK2
    Metadata Type geospatial
    Old Spatial -158.0 48.0 -104.0 72.0
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 620bc10d5d68d6b7d6064bd9d5ab610aed0eff801a9b794a9769c5e68845ad67
    Source Schema Version 1.1
    Spatial
    Temporal 2017-06-29T00:00:00Z/2017-07-17T23:59:59.999Z

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