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    • ABoVE: Light-Curve Modelling of Gridded GPP Using MODIS MAIAC and Flux Tower Data

    Metadata Updated: December 7, 2023

    This dataset contains gridded estimations of daily ecosystem Gross Primary Production (GPP) in grams of carbon per day at a 1 km2 spatial resolution over Alaska and Canada from 2000-01-01 to 2018-01-01. Daily estimates of GPP were derived from a light-curve model that was fitted and validated over a network of ABoVE domain Ameriflux flux towers then upscaled using MODIS Multi-Angle Implementation of Atmospheric Correction (MAIAC) data to span the extended ABoVE domain. In general, the methods involved three steps; the first step involved collecting and processing mainly carbon-flux site-level data, the second step involved the analysis and correction of site-level MAIAC data, and the final step developed a framework to produce large-scale estimates of GPP. The light-curve parameter model was generated by upscaling from flux tower sub-daily temporal resolution by deconvolving the GPP variable into 3 components: the absorbed photosynthetically active radiation (aPAR), the maximum GPP or maximum photosynthetic capacity (GPPmax), and the photosynthetic limitation or amount of light needed to reach maximum capacity (PPFDmax). GPPmax and PPFDmax were related to satellite reflectance measurements sampled at the daily scale. GPP over the extended ABoVE domain was estimated at a daily resolution from the light-curve parameter model using MODIS MAIAC daily reflectance as input. This framework allows large-scale estimates of phenology and evaluation of ecosystem sensitivity to climate change.

    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 May 30, 2023
    Metadata Updated Date December 7, 2023

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    Average daily GPP for 2000-2017 in units of grams of carbon per square meter per day.

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date May 30, 2023
    Metadata Updated Date December 7, 2023
    Publisher ORNL_DAAC
    Maintainer
    Identifier C2445456434-ORNL_CLOUD
    Data First Published 2022-09-14
    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 Hmimina, G., R. Yu, R. Wang, K.F. Huemmrich, and J.A. Gamon. 2022. ABoVE: Light-Curve Modelling of Gridded GPP Using MODIS MAIAC and Flux Tower Data. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2024
    Graphic Preview Description Average daily GPP for 2000-2017 in units of grams of carbon per square meter per day.
    Graphic Preview File https://daac.ornl.gov/ABOVE/guides/GPP_MODIS_Alaska_Canada_Fig1.png
    Harvest Object Id bfd2d16c-08e7-4d19-bae9-a99a4c07435e
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/2024
    Metadata Type geospatial
    Old Spatial -172.08 50.06 -73.64 79.75
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 4e341a60325743cf67874cf8575f794a742926fac472cdca1fd15229a0abc568
    Source Schema Version 1.1
    Spatial
    Temporal 2000-01-01T00:00:00Z/2018-01-01T23:59:59Z

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