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Fritz, S; You, LZ; Bun, A; See, L; McCallum, I; Schill, C; Perger, C; Liu, JG; Hansen, M; Obersteiner, M (2011). Cropland for sub-Saharan Africa: A synergistic approach using five land cover data sets. GEOPHYSICAL RESEARCH LETTERS, 38, L04404.

This paper presents a methodology for the creation of a cropland map for Africa through the combination of five existing land cover products: GLC-2000, MODIS Land Cover, GlobCover, MODIS Crop Likelihood and AfriCover. A synergy map is created in which the products are ranked by experts, which reflects the likelihood or probability that a given pixel is cropland. The cropland map is then calibrated with national and sub-national crop statistics using a novel approach. Preliminary validation of the map was undertaken and the results are presented. The resulting cropland map has an accuracy of 83%, which is higher than the accuracy of any of the individual maps. The cropland map is freely available at agriculture. Citation: Fritz, S., L. You, A. Bun, L. See, I. McCallum, C. Schill, C. Perger, J. Liu, M. Hansen, and M. Obersteiner (2011), Cropland for sub-Saharan Africa: A synergistic approach using five land cover data sets, Geophys. Res. Lett., 38, L04404, doi:10.1029/2010GL046213.



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