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dc.contributor.authorVANCUTSEM CHRISTELLEen_GB
dc.contributor.authorKAYITAKIRE Francoisen_GB
dc.contributor.authorDE ARAUJO MARINHO FILHO EDUARDOen_GB
dc.contributor.authorSEE Lindaen_GB
dc.contributor.authorFRITZ Steffenen_GB
dc.date.accessioned2013-02-08T01:01:47Z-
dc.date.available2013-02-07en_GB
dc.date.available2013-02-08T01:01:47Z-
dc.date.created2012-12-19en_GB
dc.date.issued2012en_GB
dc.date.submitted2011-11-28en_GB
dc.identifier.citationREMOTE SENSING vol. 5 no. 1 p. 19-41en_GB
dc.identifier.issn2072-4292en_GB
dc.identifier.urihttp://www.mdpi.com/2072-4292/5/1/19en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC67742-
dc.description.abstractMapping cropland areas is of great interest in diverse fields, from crop monitoring to climate change and food security. Recognizing the value of a reliable and harmonized crop mask that entirely covers the African continent, the objectives of this study were to (i) consolidate the best existing land cover/land use datasets, (ii) adapt the Land Cover Classification System (LCCS) for harmonization, (iii) assess the final product, and (iv) compare the final product with two existing datasets. Ten datasets were compared and combined through an expert-based approach to create the derived map of cropland areas at 250m covering the whole of Africa. The resulting cropland mask was compared with two recent cropland extent maps at 1km: one derived from MODIS and one derived from five existing products. The accuracy of the three products was assessed against a validation sample of 3591 pixels of 1km regularly distributed over Africa and interpreted using high resolution images, which were collected using the Geo-Wiki tool. The comparison of the resulting crop mask with existing products shows that it has a greater agreement with the expert validation dataset, in particular for places where the cropland represents more than 30% of the area of the validation pixel.en_GB
dc.description.sponsorshipJRC.H.4-Monitoring Agricultural Resourcesen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherMDPI AGen_GB
dc.relation.ispartofseriesJRC67742en_GB
dc.titleHarmonizing and combining existing land cover/land use datasets for cropland area monitoring at the African continental scaleen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.3390/rs5010019en_GB
JRC Directorate:Sustainable Resources

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