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    • High Resolution Land Cover-Specific Solar-Induced Fluorescence, Midwestern USA, 2018

    Metadata Updated: December 6, 2023

    This dataset provides estimated solar-induced chlorophyll fluorescence (SIF) of specific vegetation types and total SIF under clear-sky and real/cloudy conditions at a resolution of 4 km for the Midwest USA. The estimates are 8-day averaged daily means over the 2018 crop growing season for the time period 2018-05-01 to 2018-09-29. SIF of a specific vegetation type (i.e., corn, soybean, grass/pasture, forest) was expressed as the product of photosynthetically active radiation (PAR), the fraction of photosynthetically active radiation absorbed by the canopy (fPAR), and canopy SIF yield (SIFyield) for each vegetation type. Uncertainty of each variable was also calculated and is provided. These components of the SIF model were derived using a TROPOspheric Monitoring Instrument (TROPOMI) dataset, the USDA National Agricultural Statistics Service Cropland Data Layer, and the MODIS MCD15A2H 8-day 500 m fPAR product. These data could be used to improve estimates of vegetation productivity and vegetation stress.

    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 6, 2023

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    Examples of spatial patterns of reconstructed SIF at 4 km resolution. Only pixels with a fraction of the specific vegetation type larger than 0.1 are shown. For Total SIF, only pixels with a fraction of corn, soybean, grass/pasture, and forest larger than 0.8 are displayed. Source: Wang et al., 2020.

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date December 1, 2022
    Metadata Updated Date December 6, 2023
    Publisher ORNL_DAAC
    Maintainer
    Identifier C2345900038-ORNL_CLOUD
    Data First Published 2021-03-15
    Language en-US
    Data Last Modified 2023-07-17
    Category CMS, 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, C., K. Guan, B. Peng, C. Jiang, J. Peng, G. Wu, C. Frankenberg, P. Koehler, X. Yang, Y. Cai, and Y. Huang. 2021. High Resolution Land Cover-Specific Solar-Induced Fluorescence, Midwestern USA, 2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1813
    Graphic Preview Description Examples of spatial patterns of reconstructed SIF at 4 km resolution. Only pixels with a fraction of the specific vegetation type larger than 0.1 are shown. For Total SIF, only pixels with a fraction of corn, soybean, grass/pasture, and forest larger than 0.8 are displayed. Source: Wang et al., 2020.
    Graphic Preview File https://daac.ornl.gov/CMS/guides/SIF_PAR_fPAR_US_Midwest_2018_Fig1.png
    Harvest Object Id 882c66ef-b2cc-4d72-8bb5-b3143f505862
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/1813
    Metadata Type geospatial
    Old Spatial -110.02 34.98 -77.98 49.94
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash f997901afb85d25a3c164f56f82d0b3f48701dc0a4416e9e5a86e8f117ad3be7
    Source Schema Version 1.1
    Spatial
    Temporal 2018-05-02T00:00:00Z/2018-09-23T23:59:59Z

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