Cropland for sub-Saharan Africa: A synergistic approach using five land cover data sets

Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, You, L., Bun, A., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Schill, C., Perger, C., Liu, J., Hansen, M., & Obersteiner, M. ORCID: https://orcid.org/0000-0001-6981-2769 (2011). Cropland for sub-Saharan Africa: A synergistic approach using five land cover data sets. Geophysical Research Letters 38 L04404. 10.1029/2010GL046213.

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Abstract

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.geo-wiki.org.

Item Type:	Article
Research Programs:	Ecosystems Services and Management (ESM) Forestry (FOR)
Bibliographic Reference:	Geophysical Research Letters; 38:L04404 (23 February 2011)
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 08:45
Last Modified:	19 Oct 2022 05:00
URI:	https://pure.iiasa.ac.at/9627

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