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

Description

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.

Resources

Name Format Description Link
5 https://search.earthdata.nasa.gov%2Fsearch%3Fq%3DSLOPE_GPP_CONUS_1786%26ac%3Dtrue
5 https://doi.org%2F10.3334%2FORNLDAAC%2F1786
5 https://daac.ornl.gov%2FCMS%2Fguides%2FSLOPE_GPP_CONUS_Fig1.png
5 https://data.ornldaac.earthdata.nasa.gov%2Fpublic%2Fcms%2FSLOPE_GPP_CONUS%2Fcomp%2Fread_check.zip
5 https://data.ornldaac.earthdata.nasa.gov%2Fpublic%2Fcms%2FSLOPE_GPP_CONUS%2Fcomp%2FSLOPE_GPP_CONUS.pdf
5 https://daac.ornl.gov%2FCMS%2Fguides%2FSLOPE_GPP_CONUS.html
5 https://search.earthdata.nasa.gov/search?q=SLOPE_GPP_CONUS_1786&ac=true
21 https://doi.org/10.3334/ORNLDAAC/1786
57 read_check.zip https://data.ornldaac.earthdata.nasa.gov/public/cms/SLOPE_GPP_CONUS/comp/read_check.zip
33 SLOPE_GPP_CONUS.pdf https://data.ornldaac.earthdata.nasa.gov/public/cms/SLOPE_GPP_CONUS/comp/SLOPE_GPP_CONUS.pdf
34 SLOPE_GPP_CONUS_Fig1.png https://daac.ornl.gov/CMS/guides/SLOPE_GPP_CONUS_Fig1.png
5 https://podaac.jpl.nasa.gov/CitingPODAAC
5 https://oceancolor.gsfc.nasa.gov/atbd/
5 https://github.com/podaac/data-readers
21 modis_sst.html https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/modis/open/L3/docs/modis_sst.html
5 http://oceancolor.gsfc.nasa.gov/
5 https://oceancolor.gsfc.nasa.gov/reprocessing/r2019/sst/
5 https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2036882310-POCLOUD
5 https://search.earthdata.nasa.gov/search/granules?p=C2036882310-POCLOUD
22 MODIS_TERRA_L3_SST_THERMAL_ANNUAL_4KM_NIGHTTIME_V2019.0.jpg https://podaac.jpl.nasa.gov/Podaac/thumbnails/MODIS_TERRA_L3_SST_THERMAL_ANNUAL_4KM_NIGHTTIME_V2019.0.jpg
5 https://search.earthdata.nasa.gov/search?q=SLOPE_GPP_CONUS_1786&ac=true
21 https://doi.org/10.3334/ORNLDAAC/1786
34 SLOPE_GPP_CONUS_Fig1.png https://daac.ornl.gov/CMS/guides/SLOPE_GPP_CONUS_Fig1.png
57 read_check.zip https://data.ornldaac.earthdata.nasa.gov/public/cms/SLOPE_GPP_CONUS/comp/read_check.zip
33 SLOPE_GPP_CONUS.pdf https://data.ornldaac.earthdata.nasa.gov/public/cms/SLOPE_GPP_CONUS/comp/SLOPE_GPP_CONUS.pdf
5 https://search.earthdata.nasa.gov/search?q=SLOPE_GPP_CONUS_1786&ac=true
21 https://doi.org/10.3334/ORNLDAAC/1786
34 SLOPE_GPP_CONUS_Fig1.png https://daac.ornl.gov/CMS/guides/SLOPE_GPP_CONUS_Fig1.png
57 read_check.zip https://data.ornldaac.earthdata.nasa.gov/public/cms/SLOPE_GPP_CONUS/comp/read_check.zip
33 SLOPE_GPP_CONUS.pdf https://data.ornldaac.earthdata.nasa.gov/public/cms/SLOPE_GPP_CONUS/comp/SLOPE_GPP_CONUS.pdf
0 The metadata's original source. https://cmr.earthdata.nasa.gov/search/concepts/C2266194621-ORNL_CLOUD.iso19115

Tags

  • earth-science-surface-radiative-properties-land-surface-reflectance
  • earth-science-infrared-wavelengths-spectral-engineering-reflected-infrared
  • earth-science-vegetation-biosphere-photosynthetically-active-radiation
  • earth-science-vegetation-biosphere-plant-characteristics
  • earth-science-soils-land-surface-soil-productivity-gross-primary-production-gpp

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