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 (in revision), which describes the methodology for development of these datasets, validation metrics and analysis.

Files in collection (20): 

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)

Data formats:

Annual crop type maps are in gridded NetCDF format.

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)