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
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.3334%2FORNLDAAC%2F1786
21 Data set Landing Page DOI URL https://doi.org/10.3334/ORNLDAAC/1786
57 MODIS-based GPP, PAR, fC4, and SANIRv estimates from SLOPE for CONUS, 2000-2019: read_check.zip https://data.ornldaac.earthdata.nasa.gov/public/cms/SLOPE_GPP_CONUS/comp/read_check.zip
34 Spatial distribution of (a) GPP (gC m2/d) and (b) GPP uncertainty (gC m2/d) across the CONUS at 250-m resolution for 10 July 2020 (image source: Jiang et al. 2021). https://daac.ornl.gov/CMS/guides/SLOPE_GPP_CONUS_Fig1.png
21 This link allows direct data access via Earthdata login https://daac.ornl.gov/cms/SLOPE_GPP_CONUS/
21 ORNL DAAC Data Set Documentation https://daac.ornl.gov/CMS/guides/SLOPE_GPP_CONUS.html
33 MODIS-based GPP, PAR, fC4, and SANIRv estimates from SLOPE for CONUS, 2000-2019: SLOPE_GPP_CONUS.pdf https://data.ornldaac.earthdata.nasa.gov/public/cms/SLOPE_GPP_CONUS/comp/SLOPE_GPP_CONUS.pdf

Tags

  • infrared-wavelengths
  • soils
  • land-surface
  • biosphere
  • national-geospatial-data-asset
  • ngda
  • spectral-engineering
  • vegetation
  • surface-radiative-properties
  • earth-science

Topics

Categories