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Full catalog/GFSAD1KCD
GFSAD1KCD·v001·dataset

Which major crops grow where, worldwide (2010, 1 km)

Global Food Security Support Analysis Data (GFSAD) Crop Dominance 2010 Global 1 km V001
biosphere NASA LPCLOUD Level 3 GeoTIFF
In plain English

What it measures. A worldwide map, around the year 2010, showing which of the world's major crops dominates each area, sorted into eight crop-dominance categories at about 1-km detail.

How it's made. Built by combining many satellite views (including AVHRR, SPOT, and MODIS) with crop-type records, ground reference data, elevation, and decades of rainfall and temperature data, then overlaying maps of the world's leading crops.

How & where you'd use it. Useful for food-security planning, agricultural research, and getting a global picture of where staple crops are grown.

What's measured

BIOSPHERE › VEGETATION › VEGETATION COVERBIOSPHERE › ECOSYSTEMS › ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS › AGRICULTURAL LANDS › CROPLAND

Coverage & cadence

  • Time span2007-01-01 → 2012-12-31
  • Measured byTerra (MODIS) · NOAA-7 (AVHRR) · NOAA-9 (AVHRR) · NOAA-11 (AVHRR) · NOAA-14 (AVHRR)
  • Processing levelLevel 3
  • Spatial extent-180, -90, 180, 90
  • FormatsGeoTIFF
  • StatusCOMPLETE

What you can do with it

  • Map vegetation, forests and biomass
  • Monitor ecosystem productivity and carbon
  • Support habitat and biodiversity studies
Official description

The NASA Making Earth System Data Records for Use in Research Environments ([MEaSUREs](https://earthdata.nasa.gov/about/competitive-programs/measures)) Global Food Security Support Analysis Data (GFSAD) Crop Dominance Global 1 kilometer (km) dataset was created using multiple input data including: Advanced Very High Resolution Radiometer (AVHRR), Satellite Probatoire d'Observation de la Terre (SPOT) vegetation, and Moderate Resolution Imaging Spectrometer (MODIS) remote sensing data; crop type data, secondary elevation data; 50-year precipitation and 20-year temperature data; reference sub-meter to 5 meter resolution ground data; and country statistic data. The GFSAD1KCD data were produced for nominal 2010 by overlaying the five dominant crops of the world produced by Ramankutty et al. (2008), Monfreda et al. (2008), and Portman et al. (2009) over the remote sensing derived global irrigated and rainfed cropland area map of the International Water Management Institute (IWMI; Thenkabail et al., 2009a, 2009b, 2011, Biradar et al., 2009) to ultimately create eight classes of crop dominance. The GFSAD1KCD nominal 2010 product is based on data ranging from years 2007 through 2012. Known Issues * See Section 3.0 of the GFSAD 1 km User Guide.

Get the data

gfsad1kcd_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="GFSAD1KCD",
    version="001",
    bounding_box=(-122.5, 37.2, -121.8, 37.9),  # your area (W,S,E,N)
    temporal=("2024-01-01", "2024-12-31"),       # your dates
)
files = earthaccess.open(results)   # stream straight from LPCLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.