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Description

The NASA Making Earth System Data Records for Use in Research Environments (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.

Product Summary

Platforms
Terra,
NOAA-7,
NOAA-9,
NOAA-11,
NOAA-14
Instruments
MODIS,
AVHRR
Spatial Extent
N: 90 S: -90 E: 180 W: -180
Spatial Resolution
1000 Meters x 1000 Meters
Geographic Region
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2007-01-01 to 2012-12-31
Temporal Resolution
6 Year
Data Partner
Land Processes Distributed Active Archive Center (LP DAAC)
Western Geographic Science Center, U.S. Geological Survey, U.S. Department of the Interior (DOI/USGS/WGSC)
Concept ID
C2763261621-LPCLOUD
Data State
COMPLETE
Processing Level
3
Published
Updated
Science Keywords
Vegetation Cover,
Cropland

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Thenkabail, P., Knox, J., Ozdogan, M., Gumma, M., Congalton, R., Wu, Z., Milesi, C., Finkral, A., Marshall, M., Mariotto, I., You, S., Giri, C., & Nagler, P. (2016). NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security Support Analysis Data (GFSAD) Crop Dominance 2010 Global 1 km V001 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MEASURES/GFSAD/GFSAD1KCD.001 Date Accessed: 2025-11-02

File Naming Convention

GFSAD1KCD.2010.001.2016348142525.tif

File name begins with Product Short Name (GFSAD1KCD) followed by the Year of Acquisition (2010), Version (001), Julian Date and Time of Processing as YYYYDDDHHMMSS (2016348142525), and the Data Format (tif).

Documents

Publications Citing This Dataset

Filters
Title Year Author
Global gridded crop harvested area, production, yield, and monthly physical area data circa 2015 Grogan, D.
Croplands intensify regional and global warming according to satellite observations Zhou, D.
Spatial heterogeneity of changes in cropland ecosystem water use efficiency and responses to drought in China Zhao, A.
Soil carbon dioxide flux partitioning in a calcareous watershed with agricultural impacts Hodges, C.
Global assessment of natural resources for chicken production Govoni, C.
Capability of existing drought indices in reflecting agricultural drought in China Zhao, Z.
SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 Guglielmo, M.
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Variables

Variables are a set of physical properties whose values determine the characteristics or behavior of something. For example, temperature and pressure are variables of the atmosphere. Parameters and variables can be used interchangeably. Variable level attributes provide individual information for each variable.

The Name in this table is the variable name. Fill value indicates missing or undefined data points in a variable. Valid range is the range of values the variable can store. Scale factor is used to increase or decrease the size of an object and can be used to correct for distortion. For questions on a specific variable, please use the Earthdata Forum.

Name Description Units Data Type Fill Value Valid Range Scale Factor
Crop Dominance Crop dominance class N/A uint8 0 0 to 9 N/A
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