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    • ABoVE: Annual Aboveground Biomass for Boreal Forests of ABoVE Core Domain, 1984-2014

    Metadata Updated: December 7, 2023

    This dataset provides estimated annual aboveground biomass (AGB) density for live woody (tree and shrub) species and corresponding standard errors at a 30 m spatial resolution for the boreal forest biome portion of the Core Study Domain of NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) Project (Alaska and Canada) over the time period 1984-2014. The data were derived from a time series of Landsat-5 and Landsat-7 surface reflectance imagery and full-waveform lidar returns from the Geoscience Laser Altimeter System (GLAS) flown onboard IceSAT from 2004 to 2008. The Change Detection and Classification (CCDC) model-fitting algorithm was used to estimate the seasonal variability in surface reflectance, and AGB density data were produced by applying allometric equations to the GLAS lidar data. A Gradient Boosted Machines machine learning algorithm was used to predict annual AGB density across the study domain given the seasonal variability in surface reflectance and other predictors. The data received statistical smoothing to reduce noise and uncertainty was estimated at the pixel level. These data contribute to the characterization of how biomass stocks are responding to climate and disturbance in boreal forests.

    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 December 1, 2022
    Metadata Updated Date December 7, 2023

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    Spatial distribution of predicted aboveground biomass (AGB) density averaged over 1984-2014 for the ABoVE Core Study Domain. Solid black lines indicate the EPA Level 2 Ecoregion boundaries. Source: Wang et al. (2021)

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date December 1, 2022
    Metadata Updated Date December 7, 2023
    Publisher ORNL_DAAC
    Maintainer
    Identifier C2111720412-ORNL_CLOUD
    Data First Published 2021-02-27
    Language en-US
    Data Last Modified 2023-06-12
    Category ABoVE, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://data.nasa.gov/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
    Citation Wang, J., M.K. Farina, A. Baccini, and M.A. Friedl. 2021. ABoVE: Annual Aboveground Biomass for Boreal Forests of ABoVE Core Domain, 1984-2014. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1808
    Graphic Preview Description Spatial distribution of predicted aboveground biomass (AGB) density averaged over 1984-2014 for the ABoVE Core Study Domain. Solid black lines indicate the EPA Level 2 Ecoregion boundaries. Source: Wang et al. (2021)
    Graphic Preview File https://daac.ornl.gov/ABOVE/guides/Annual_30m_AGB_Fig1.png
    Harvest Object Id 1dd07187-b874-4916-800b-db62eedaf073
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/1808
    Metadata Type geospatial
    Old Spatial -165.41 51.78 -101.74 69.73
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 41529ecf87c31458fc1b616d5715a4b779aacdbdd2fe13b4887278689cef5a61
    Source Schema Version 1.1
    Spatial
    Temporal 1984-01-01T00:00:00Z/2014-12-31T23:59:59Z

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