Land surface phenology based crop maps for Continental United States 2000-2018

This data collection contains annual maps of crop types for Continental United States for the period 2000-2018 at spatial resolution of ~231m derived using MODIS Land Surface Phenology. This data collection is a companion to the paper Konduri, V., Kumar, J., Hargrove, W. W., Hoffman, F. M., Ganguly, A. R. (2020) Mapping Crops Within the Growing Season Across the United States. Remote Sensing of Environment, Vol 251, 2020 https://doi.org/10.1016/j.rse.2020.112048, which describes the methodology for development of these datasets, validation metrics and analysis.

Files in collection (28): 

• crop_map_predicted_[YEAR].nc: Annual crop type maps for YEAR = 2000-2018
• Crop_map_legend.csv: Legend for crop type categories in the maps (Category numbers and legends for crop types are consistent with those used by USDA Crop Data Layer)
• Maps of earliest date (Day of Year) of classification for eight dominant crop types for year 2015:
  • earliest_classification_date_corn_CONUS.nc : Earliest date of classification for corn
  • earliest_classification_date_soybeans_CONUS.nc : Earliest date of classification for soybeans
  • earliest_classification_date_winter_wheat_CONUS.nc : Earliest date of classification for winter wheat
  • earliest_classification_date_fallow_CONUS.nc : Earliest date of classification for fallow
  • earliest_classification_date_other_hay_non_alfalfa_CONUS.nc : Earliest date of classification for other hay/non-alfalfa
  • earliest_classification_date_alfalfa_CONUS.nc : Earliest date of classification for alfalfa
  • earliest_classification_date_sorghum_CONUS.nc : Earliest date of classification for sorghum
  • earliest_classification_date_rice_CONUS.nc : Earliest date of classification for rice

Data formats:

• All map products are in gridded NetCDF format.
• Annual crop type maps use category types described in Crop_map_legend.csv. 
• Earliest date of classification maps are encoded as Day of the Year.

Projection for geospatial data (in PROJ4 format):

PROJCS["US_National_Atlas_Equal_Area",
    GEOGCS["sphere",
        DATUM["unknown",
            SPHEROID["Spherical_Earth",6370997,"inf"]],
        PRIMEM["Greenwich",0],
        UNIT["degree",0.0174532925199433]],
    PROJECTION["Lambert_Azimuthal_Equal_Area"],
    PARAMETER["latitude_of_center",45],
    PARAMETER["longitude_of_center",-100],
    PARAMETER["false_easting",0],
    PARAMETER["false_northing",0],
    UNIT["Meter",1]]

Paper Citation:

Konduri, V., Kumar, J., Hargrove, W. W., Hoffman, F. M., Ganguly, A. R. (2020) Mapping Crops Within the Growing Season Across the United States. Remote Sensing of Environment (in revision)