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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: 2026-05-05

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
Helmets Labeling Crops: Kenya Crop Type Dataset Created via Helmet-Mounted Cameras and Deep Learning Nakalembe, Catherine, Zvonkov, Ivan, Kerner, Hannah, Frimpong, Diana Botchway, Mwangi, Kenneth, Kioko, Jane, Tokas, Bhanu, Jawanjal, Kartik, Smith, Iman Akhtar, Paliyam, Anjali, Wakhanala, Christopher Atsianzale, Tarano, Ana Maria, Jha, Shreya, Loh, Priscilla Mawuena Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Agricultural plastics as marine pollutants: Empirical evidence from inland and coastal field surveys Morales-Caselles, Carmen, Viejo, Josue, Montero, Enrique, Cozar, Andres Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Was the balanced stratified coverage sampling not well spatially distributed, or was it inadequately implemented? Bouasria, Abdelkrim Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
A novel approach to include small reservoirs into a global hydrological Hoogeveen, Anna C., Sutanudjaja, Edwin H., Falconnier, Gatien N., van Beek, L.P.H. (Rens), Wanders, Niko, Bierkens, Marc F.P., Hoch, Jannis M. Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Guardians of the Forest: The Impact of Indigenous Peoples on Forest Loss Vocht, Robin, Dias, Eduardo Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
How accurate are existing land cover maps for agriculture in Sub-Saharan Africa? Kerner, Hannah, Nakalembe, Catherine, Yang, Adam, Zvonkov, Ivan, McWeeny, Ryan, Tseng, Gabriel, Becker-Reshef, Inbal Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Assessment of land use management and its effect on soil quality and carbon stock in Ebonyi State, Southeast Nigeria Ota, Henry Obiahu, Mohan, K.C., Udume, Bethel Uchenna, Olim, Denis Michael, Okolo, Chukwuebuka Christopher Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Improving environmental sustainability of agriculture in Egypt through a life-cycle perspective Lago-Olveira, Sara, El-Areed, Sherif R.M., Moreira, Maria Teresa, Gonzalez-Garcia, Sara Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Predicting micronutrient deficiency with publicly available satellite BondiKelly, Elizabeth, Chen, Haipeng, Golden, Christopher D., Behari, Nikhil, Tambe, Milind Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Agroecologies defined by species distribution models improve model fit Kebede, Fasil Getachew, Komen, Hans, Dessie, Tadelle, Hanotte, Olivier, Kemp, Steve, Alemu, Setegn Worku, Bastiaansen, John W. M. Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Spatiotemporal Evolution and Hysteresis Analysis of Drought Based on Du, Enyu, Chen, Fang, Jia, Huicong, Wang, Lei, Yang, Aqiang Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Environmental Contamination of a Biodiversity Hotspot-Action Needed for Ansah, Christabel Edena, Abu, Itohan-Osa, Kleemann, Janina, Mahmoud, Mahmoud Ibrahim, Thiel, Michael Crop/Plant Yields, Land Use Classes, Landscape Patterns, 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
Probabilistic Tracking of Annual Cropland Changes over Large, Complex Xiong, Sitian, Baltezar, Priscilla, Crowley, Morgan A., Cecil, Michael, Crema, Stefano C., Baldwin, Eli, Cardille, Jeffrey A., Estes, Lyndon Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Agricultural landscape change impact on the quality of land: An African continent-wide assessment in gained and displaced agricultural lands Akinyemi, Felicia O., Ifejika Speranza, Chinwe Population Density, Photosynthesis, Primary Production, VEGETATION PRODUCTIVITY, Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Remote sensing assessment of available green water to increase crop production in seasonal floodplain wetlands of sub-Saharan Africa Ayyad, Saher, Karimi, Poolad, Langensiepen, Matthias, Ribbe, Lars, Rebelo, Lisa-Maria, Becker, Mathias Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland, Plant Phenology, Enhanced Vegetation Index (EVI), Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Land Use/Land Cover Classification
Retrospective Predictions of Rice and Other Crop Production in Rigden, Angela J., Golden, Christopher, Huybers, Peter Land Use/Land Cover Classification, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Fertilizer and grain prices constrain food production in sub-Saharan Africa Bonilla-Cedrez, Camila, Chamberlin, Jordan, Hijmans, Robert J. Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Impact of transnational land acquisitions on local food security and dietary diversity Muller, Marc F., Penny, Gopal, Niles, Meredith T., Ricciardi, Vincent, Chiarelli, Davide Danilo, Davis, Kyle Frankel, DellAngelo, Jampel, DOdorico, Paolo, Rosa, Lorenzo, Rulli, Maria Cristina, Mueller, Nathaniel D. Population Density, Infrastructure, Food Security, Conservation, Environmental Health Factors, Urbanization/Urban Sprawl, Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Evaluating NISAR's cropland mapping algorithm over the conterminous Rose, Shannon, Kraatz, Simon, Kellndorfer, Josef, Cosh, Michael H., Torbick, Nathan, Huang, Xiaodong, Siqueira, Paul Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Finer-resolution mapping of global land cover: Recent developments, consistency analysis, and prospects Liu, Liangyun, Zhang, Xiao, Gao, Yuan, Chen, Xidong, Shuai, Xie, Mi, Jun Human Settlements, Urbanization/Urban Sprawl, Infrastructure, Crop/Plant Yields, Land Use Classes, Landscape Patterns, 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
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
A review of satellite-based global agricultural monitoring systems available for Africa Nakalembe, Catherine, Becker-Reshef, Inbal, Bonifacio, Rogerio, Hu, Guangxiao, Humber, Michael Laurence, Justice, Christina Jade, Keniston, John, Mwangi, Kenneth, Rembold, Felix, Shukla, Shraddhanand, Urbano, Ferdinando, Whitcraft, Alyssa Kathleen, Li, Yanyun, Zappacosta, Mario, Jarvis, Ian, Sanchez, Antonio Land Use/Land Cover Classification, Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Constructing a 30m African Cropland Layer for 2016 by Integrating Multiple Remote sensing, crowdsourced, and Auxiliary Datasets Nabil, Mohsen, Zhang, Miao, Wu, Bingfang, Bofana, Jose, Elnashar, Abdelrazek Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland
Croplands intensify regional and global warming according to satellite observations Zhou, Decheng, Xiao, Jingfeng, Frolking, Steve, Liu, Shuguang, Zhang, Liangxia, Cui, Yaoping, Zhou, Guoyi Crop/Plant Yields, Land Use Classes, Landscape Patterns, Cropland, Vegetation Cover
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
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
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
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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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
Band 1 Cropland Extent for Africa defined with three classes N/A uint8 N/A 0 to 2 N/A N/A
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