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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 Mask Global 1 kilometer (km) dataset was created using multiple input data including: remote sensing such as Landsat, Advanced Very High Resolution Radiometer (AVHRR), Satellite Probatoire d'Observation de la Terre (SPOT) vegetation and Moderate Resolution Imaging Spectrometer (MODIS); secondary elevation data; climate 50-year precipitation and 20-year temperature data; reference submeter to 5 meter resolution ground data and country statistics data.

The GFSAD1KCM provides spatial distribution of a disaggregated five class global cropland extent map derived for nominal 2010 at 1 km based on four major studies: Thenkabail et al. (2009a, 2011), Pittman et al. (2010), Yu et al. (2013), and Friedl et al. (2010). The GFSAD1KCM 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 ,
LANDSAT-5 ,
LANDSAT-7
Instruments
MODIS ,
AVHRR ,
TM ,
ETM+
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution
1000 Meters x 1000 Meters
Location
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
C2763261632-LPCLOUD
Data State
COMPLETE
Number of Files/Granules
1
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

Teluguntla, P., Thenkabail, P., Xiong, J., Gumma, M., Giri, C., Milesi, C., Ozdogan, M., Congalton, R., Tilton, J., Sankey, T., Massey, R., Phalke, A., & Yadav, K. (2016). NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security Support Analysis Data (GFSAD) Crop Mask 2010 Global 1 km V001 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MEASURES/GFSAD/GFSAD1KCM.001 Date Accessed: 2026-04-30

File Naming Convention

GFSAD1KCM.2010.001.2016348142550.tif

File name begins with Product Short Name (GFSAD1KCM) followed by the Year of Acquisition (2010), Version (001), Julian Date and Time of Processing as YYYYDDDHHMMSS (2016348142550), and the Data Format (tif).

Documents

Filters
Title Year Author Topic
Characteristics of agricultural droughts in CMIP6 historical simulations and future projections Lindenlaub, Lukas, Weigel, Katja, Hassler, Birgit, Jones, Colin, Eyring, Veronika Vegetation Cover, Cropland
GRAINa Global Registry of Agricultural Irrigation Networks Suresh, Sarath, Hossain, Faisal, Mishra, Vimal, Hossain, Nehan Vegetation Cover, Cropland
A first attempt to model global hydrology at hyper-resolution van Jaarsveld, Barry, Wanders, Niko, Sutanudjaja, Edwin H., Hoch, Jannis, Droppers, Bram, Janzing, Joren, van Beek, Rens L. P. H., Bierkens, Marc F. P. Vegetation Cover, Cropland
Crop water origins and hydroclimate vulnerability of global croplands Jiang, Yan, Burney, Jennifer A. Reflectance, Anisotropy, Vegetation Cover, Cropland
Landsat-Derived Rainfed and Irrigated-Area Product for Conterminous United States for the Year 2020 (LRIP30 CONUS 2020) Using Supervised and Unsupervised Machine Learning on the Cloud Teluguntla, Pardhasaradhi, Thenkabail, Prasad S., Oliphant, Adam, Aneece, Itiya, Biggs, Trent, Gumma, Murali Krishna, Foley, Daniel, McCormick, Richard, Neelam, Rohitha, Long, Emerson, Lawton, Jake Crop/Plant Yields, Landscape Patterns, Cropland, Land Use Classes, Vegetation Cover, Reflectance
Increasing carbon sequestration in irrigated and rainfed agroecosystems: A global analysis of trend characteristics and driving mechanisms Li, Chao, Zhang, Shiqiang Vegetation Cover, Cropland
Novel Spatiotemporal ConvLSTM-Based Cellular Automata Model for Zhou, Ye, Qiu, Yu, Wu, Tao, Lv, Laishui Crop/Plant Yields, Landscape Patterns, Cropland, Land Use Classes, Vegetation Cover, Reflectance
Estimating Global Wheat Yields at 4 km Resolution during 1982-2020 by a Zhang, Zhao, Luo, Yuchuan, Han, Jichong, Xu, Jialu, Tao, Fulu Vegetation Cover, Cropland
Impact of revegetation and agricultural intensification on water storage variation in the Yellow River Basin Wang, Zijing, Xu, Mengzhen, Penny, Gopal, Hu, Hongchang, Zhang, Xiangping, Tian, Shimin Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Leaf Characteristics, Photosynthetically Active Radiation, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Vegetation Cover, Cropland, Land Use/Land Cover Classification
Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent Hoch, Jannis M., Sutanudjaja, Edwin H., Wanders, Niko, van Beek, Rens L. P. H., Bierkens, Marc F. P. Vegetation Cover, Cropland
A Reconstruction of Irrigated Cropland Extent in China from 2000 to 2019 Using the Synergy of Statistics and Satellite-Based Datasets Bai, Minghao, Zhou, Shenbei, Tang, Ting Vegetation Cover, Cropland
Downscaling Global Gridded Crop Yield Data Products and Crop Water Productivity Mapping Using Remote Sensing Derived Variables in the South Asia Mohanasundaram, S., Kasiviswanathan, K. S., Purnanjali, C., Santikayasa, I. Putu, Singh, Shilpa Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Evapotranspiration, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Vegetation Cover, Cropland
Global food-security-support-analysis data at 30-m resolution (GFSAD30) cropland-extent productsDownload Analysis Oliphant, Adam, Thenkabail, Prasad, Teluguntla, Pardhasaradhi Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland, Vegetation Cover
Surface WaterGroundwater Connections as Pathways for Inland Salinization of Coastal Aquifers Hingst, Mary C., McQuiggan, Rachel W., Peters, Chelsea N., He, Changming, Andres, A. Scott, Michael, Holly A. Vegetation Cover, Cropland
Applying deep learning to clear-sky radiance simulation for viirs with community radiative transfer modelpart 1: Develop Ai-based clear-sky mask Liang, Xingming, Liu, Quanhua Vegetation Cover, Cropland
Global Cropland-Extent Product at 30-m Resolution (GCEP30) Derived from Landsat Satellite Time-Series Data for the Year 2015 Using Multiple Machine-Learning Algorithms on Google Earth Engine Cloud Thenkabail, Prasad S., Teluguntla, Pardhasaradhi G., Xiong, Jun, Oliphant, Adam, Congalton, Russell G., Ozdogan, Mutlu, Gumma, Murali Krishna, Tilton, James C., Giri, Chandra, Milesi, Cristina, Phalke, Aparna, Massey, Richard, Yadav, Kamini, Sankey, Temuulen, Zhong, Ying, Aneece, Itiya, Foley, Daniel Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland, Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, Vegetation Cover
Global high-resolution estimation of cropland suitability and its comparative analysis to actual cropland distribution Ishikawa, Yuki, Yamazaki, Dai Vegetation Cover, Cropland
Integrating gravimetry data with thermal infra-red data from satellites to improve efficiency of operational irrigation advisory in south Asia Bose, Indira, Hossain, Faisal, Eldardiry, Hisham, Ahmad, Shahryar, Biswas, Nishan K., Bhatti, Ahmad Zeeshan, Lee, Hyongki, Aziz, Mazharul, Kamal Khan, Md. Shah Vegetation Cover, Cropland
Systems analysis of coupled natural and human processes in the mekong river basin Sridhar, Venkataramana, Ali, Syed Azhar, Sample, David J. Vegetation Cover, Cropland
Quantification of the land potential for scaling agroforestry in South Asia Ahmad, Firoz, Uddin, Md. Meraj, Goparaju, Laxmi, Rizvi, Javed, Biradar, Chandrashekhar Vegetation Cover, Cropland
PEST-CHEMGRIDS, global gridded maps of the top 20 crop-specific pesticide application rates from 2015 to 2025 Maggi, Federico, Tang, Fiona H. M., la Cecilia, Daniele, McBratney, Alexander Pesticides, Fertilizers, Conservation, Sustainability, Vegetation Cover, Cropland, Stratigraphic Sequence, Digital Elevation/Terrain Model (DEM), Soil Depth, Sediments
Processing Remote Sensing Data in Cloud-Computing Environments Sugumaran, Ramanathan, Hegeman, James W., Sardeshmukh, Vivek B., Armstrong, Marc P. Vegetation Cover, Cropland
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Variables

The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.

For questions on a specific variable, please use the Earthdata Forum.

Name Description Units Data Type Fill Value Valid Range Scale Factor Offset
Crop Mask Crop mask class N/A uint8 0 1 to 9 N/A N/A
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