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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) data product provides cropland extent data over the continent of Africa for nominal year 2015 at 30 meter resolution (GFSAD30AFCE). The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30AFCE data product uses two pixel-based supervised classifiers, Random Forest (RF) and Support Vector Machine (SVM), and one object-oriented classifier, Recursive Hierarchical Image Segmentation (RHSEG). The classifiers retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Sentinel-2 MultiSpectral Instrument (MSI) data and elevation derived from the Shuttle Radar Topography Mission (SRTM) Version 3 data products. Each GFSAD30AFCE GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10° by 10° area.

Known Issues

  • Known issues, including constraints and limitations, are provided on page 20 of the ATBD.

Product Summary

Platforms
LANDSAT-8 ,
Sentinel-2A ,
DEM ,
LANDSAT-5
Instruments
OLI ,
Sentinel-2 MSI ,
TM
Spatial Extent

N: 40.10861 S: -50.108476 E: 70.001218 W: -37

Spatial Resolution
30 Meters x 30 Meters
Location
AFRICA
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2013-01-01 to 2016-06-30
Temporal Resolution
4 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
C2763261633-LPCLOUD
Data State
COMPLETE
Number of Files/Granules
53
Processing Level
3
Published
Updated
Science Keywords
Crop/Plant Yields ,
Land Use Classes ,
Landscape Patterns ,
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

Xiong, J., Thenkabail, P., Tilton, J., Gumma, M., Teluguntla, P., Congalton, R., Yadav, K., Dungan, J., Oliphant, A., Poehnelt, J., Smith, C., & Massey, R. (2017). NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) Cropland Extent 2015 Africa 30 m V001 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MEASURES/GFSAD/GFSAD30AFCE.001 Date Accessed: 2026-05-27

File Naming Convention

GFSAD30AFCE_2015_S50E30_001_2017290131500.tif

File name begins with Product Short Name (GFSAD30AFCE) followed by the Year of Acquisition (2015), the latitude and longitude of the lower left corner of the tile (S50E30), Version (001), Julian Date and Time of Processing as YYYYDDDHHMMSS (2017290131500), and the Data Format (tif).

Documents

Publications Citing This Dataset

Filters
Title Year Author Topic
Large-scale land acquisition as a potential driver of slope instability Chiarelli, Davide Danilo, D'Odorico, Paolo, Davis, Kyle Frankel, Rosso, Renzo, Rulli, Maria Cristina Terrain Elevation, Digital Elevation/Terrain Model (DEM), Topographical Relief Maps, Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Species and Phenotypic Distribution Models Reveal Population Kebede, Fasil Getachew, Komen, Hans, Dessie, Tadelle, Alemu, Setegn Worku, Hanotte, Olivier, Bastiaansen, John W. M. Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
A new framework to map fine resolution cropping intensity across the globeAlgorithm, validation, and implication Liu, Chong, Zhang, Qi, Tao, Shiqi, Qi, Jiaguo, Ding, Mingjun, Guan, Qihui, Wu, Bingfang, Zhang, Miao, Nabil, Mohsen, Tian, Fuyou, Zeng, Hongwei, Zhang, Ning, Bavuudorj, Ganbat, Rukundo, Emmanuel, Liu, Wenjun, Bofana, Jose, Beyene, Awetahegn Niguse, Elnashar, Abdelrazek Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland, Plant Phenology
The forgotten land use classMapping of fallow fields across the Sahel using Sentinel-2 Tong, Xiaoye, Brandt, Martin, Hiernaux, Pierre, Herrmann, Stefanie, Rasmussen, Laura Vang, Rasmussen, Kjeld, Tian, Feng, Tagesson, Torbern, Zhang, Wenmin, Fensholt, Rasmus Reflectance, Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Spatial variation in fertilizer prices in Sub-Saharan Africa Bonilla Cedrez, Camila, Chamberlin, Jordan, Guo, Zhe, Hijmans, Robert J. Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Transfer Learning for Crop classification with Cropland Data Layer data Hao, Pengyu, Di, Liping, Zhang, Chen, Guo, Liying Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Conflation of expert and crowd reference data to validate global binary thematic maps Waldner, Francois, Schucknecht, Anne, Lesiv, Myroslava, Gallego, Javier, See, Linda, Perez-Hoyos, Ana, d'Andrimont, Raphael, de Maet, Thomas, Bayas, Juan Carlos Laso, Fritz, Steffen, Leo, Olivier, Kerdiles, Herve, Diez, Monica, Van Tricht, Kristof, Gilliams, Sven, Shelestov, Andrii, Lavreniuk, Mykola, Simoes, Margareth, Ferraz, Rodrigo, Bellon, Beatriz, Begue, Agnes, Hazeu, Gerard, Stonacek, Vaclav, Kolomaznik, Jan, Misurec, Jan, Veron, Santiago R., de Abelleyra, Diego, Plotnikov, Dmitry, Mingyong, Li, Singha, Mrinal, Patil, Prashant, Zhang, Miao, Defourny, Pierre Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
High resolution crop intensity mapping using harmonized Landsat-8 and HAO, Peng-yu, TANG, Hua-jun, CHEN, Zhong-xin, YU, Le, WU, Ming-quan Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Spatial global assessment of the pest Bagrada hilaris (Burmeister) Carvajal, Mario A, Alaniz, Alberto J, NunezHidalgo, Ignacio, GonzalezCesped, Carlos Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
A Phenology-Based Method to Map Cropping Patterns under a Wheat-Maize Liu, Jianhong, Zhu, Wenquan, Atzberger, Clement, Zhao, Anzhou, Pan, Yaozhong, Huang, Xin Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Nominal 30-m cropland extent map of continental Africa by integrating pixel-based and object-based algorithms using Sentinel-2 and Landsat-8 data on Google Earth ... Xiong, Jun, Thenkabail, Prasad, Tilton, James, Gumma, Murali, Teluguntla, Pardhasaradhi, Oliphant, Adam, Congalton, Russell, Yadav, Kamini, Gorelick, Noel Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
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