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    • LiDAR-based Biomass Estimates, Boreal Forest Biome, Eurasia, 2005-2006

    Metadata Updated: December 7, 2023

    This data set provides estimates of aboveground biomass (AGB) for defined land cover types within World Wildlife Fund (WWF) ecoregions across the boreal biome of eastern and western Eurasia, roughly between 50 and 70 degrees N. The study focused on within-growing-season data, i.e. leaf-on conditions.The AGB estimates were derived from a series of models that first related ground-based measured biomass to airborne data collected with an Optech Airborne Laser Terrain Mapper (ALTM) 3100, and a second set of models that related the airborne estimates of biomass to Geoscience Laser Altimeter System (GLAS) LiDAR canopy structure measurements. The ground, airborne, and GLAS measurements were used to formulate the models needed to generate biomass predictions for western Eurasia. Eastern Eurasia employed a two-phase approach relating field measurements directly to the GLAS measurements without the airborne intermediary. The GLAS LiDAR biomass estimates were extrapolated by land cover types and ecoregions across the entire biome area.The study compiled remotely sensed forest structure data collected in June of 2005 and 2006 from the GLAS LiDAR instrument aboard the NASA Ice, Cloud, and land Elevation (ICESat) satellite and from an Optech Airborne Laser Terrain Mapper (ALTM) 3100 airborne instrument flown in Southeast Norway over both the ground plots and the ICESat GLAS flight path. For a consistent biome-level analysis, ecoregions contained within the boreal forest biome were identified by the World Wildlife Fund's (WWF) ecoregion map of the world (Olson et al., 2001). MODIS MOD12Q1 land cover products (2004) were used to identify land cover types for stratification purposes within eco-regions. The ground-based measurements are not provided with this data set.

    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 October 25, 2023
    Metadata Updated Date December 7, 2023

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

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    Additional Metadata

    Resource Type Dataset
    Metadata Created Date October 25, 2023
    Metadata Updated Date December 7, 2023
    Publisher ORNL_DAAC
    Maintainer
    Identifier C2784385784-ORNL_CLOUD
    Data First Published 2023-10-15
    Language en-US
    Data Last Modified 2023-10-16
    Category Vegetation, 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 Neigh, C.S., R.F. Nelson, K.J. Ranson, H. Margolis, P.M. Montesano, G. Sun, V. Kharuk, E. Naesset, M.A. Wulder, and H.E. Andersen. 2015. LiDAR-based Biomass Estimates, Boreal Forest Biome, Eurasia, 2005-2006. ORNL DAAC, Oak Ridge, Tennessee, USA. http://dx.doi.org/10.3334/ORNLDAAC/1278
    Graphic Preview Description Browse Image
    Graphic Preview File https://daac.ornl.gov/graphics/browse/sdat-tds/1278_1_fit.png
    Harvest Object Id d7cfd360-e3fc-4b90-8c0f-792c91e1c85b
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/1278
    Metadata Type geospatial
    Old Spatial 4.0 45.0 172.0 70.0
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash b248d58c6418e4e7e02755cb25c623d73e2f23de7f5351356fa3b4bbd0b454df
    Source Schema Version 1.1
    Spatial
    Temporal 2005-06-08T00:00:00Z/2006-06-26T23:59:59Z

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