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    • This is a Non-Federal dataset covered by different Terms of Use than Data.gov.

    MODIS-based GPP, PAR, fC4, and SANIRv estimates from SLOPE for CONUS, 2000-2019

    Metadata Updated: February 21, 2025

    This dataset contains estimated gross primary productivity (GPP), photosynthetically active radiation (PAR), soil adjusted near infrared reflectance of vegetation (SANIRv), the fraction of C4 crops in vegetation (fC4), and their uncertainties for the conterminous United States (CONUS) from 2000 to 2019. The daily estimates are SatelLite Only Photosynthesis Estimation (SLOPE) products at 250-m resolution. There are three distinct features of the GPP estimation algorithm: (1) SLOPE couples machine learning models with MODIS atmosphere and land products to accurately estimate PAR, (2) SLOPE couples gap-filling and filtering algorithms with surface reflectance acquired by both Terra and Aqua MODIS satellites to derive a soil-adjusted NIRv (SANIRv) dataset, and (3) SLOPE couples a temporal pattern recognition approach with a long-term Crop Data Layer (CDL) product to predict dynamic C4 crop fraction. PAR, SANIRv and C4 fraction are used to drive a parsimonious model with only two parameters to estimate GPP, along with a quantitative uncertainty, on a per-pixel and daily basis. The slope GPP product has an R2 = 0.84 and a root-mean-square error (RMSE) of 1.65 gC m-2 d-1.

    Access & Use Information

    Public: This dataset is intended for public access and use. Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: No license information was provided.

    Downloads & Resources

    Dates

    Metadata Created Date February 21, 2025
    Metadata Updated Date February 21, 2025

    Metadata Source

    Harvested from nasa test json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date February 21, 2025
    Metadata Updated Date February 21, 2025
    Publisher ORNL_DAAC
    Maintainer
    Identifier C2266194621-ORNL_CLOUD
    Data First Published 2021-11-13
    Language en-US
    Data Last Modified 2025-02-19
    Category CMS, 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 d9cb33d2-81f0-4b88-b062-35c79bdb8400
    Harvest Source Id a73e0c30-4684-40ef-908e-d22e9e9e5f86
    Harvest Source Title nasa test json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/1786
    Metadata Type geospatial
    Old Spatial -155.57 19.99 -52.22 50.01
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash b0c5b44d30ab705a5a41b97161717e18431149d03730febd5ce3bdd8492e1e67
    Source Schema Version 1.1
    Spatial
    Temporal 2000-01-01T00:00:00Z/2020-01-01T23:59:59Z

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