Full metadata record
DC FieldValueLanguage
dc.contributor.authorVANCUTSEM CHRISTELLEen_GB
dc.contributor.authorPEKEL JEAN-FRANÇOISen_GB
dc.contributor.authorKAYITAKIRE Francoisen_GB
dc.date.accessioned2011-01-11T08:54:59Z-
dc.date.available2010-12-21en_GB
dc.date.available2011-01-11T08:54:59Z-
dc.date.created2010-12-15en_GB
dc.date.issued2010en_GB
dc.date.submitted2010-12-10en_GB
dc.identifier.citationThird Recent Advance in Quantitative Remote Sensing p. 603-607en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC62395-
dc.description.abstractMapping cropland areas in a dynamic way is of great interest to successfully monitor agricultural areas and food security. Existing cropland masks are commonly derived from global/continental land use/land cover datasets. However, these products are either too coarse and does not account correctly for the specificities of some regions or not adapted to map cropland extent or are limited in spatial coverage. This study aims at developing a method for dynamic mapping of cropland areas in Sub-Saharan Africa and at producing a multi-annual map of cropland extent at 250m using MODIS time series. The originality of the approach consists of (i) including a dynamic and automatic stratification that allows tuning the classification parameters according to the inter-annual variability, and (ii) exploiting the local differences of spectral signatures between natural vegetation and crops during the green-up season. The methodology has been applied to the data of 2009 and will be applied to 3 other years (2006-2008). Then the cropland masks of each year will be combined to produce a map of the potential cropland areas. The four annual products will be compared and the inter-annual variability will be analysed. The accuracy of the product will be assessed using a large sample of points interpreted on high resolution images and will be compared to the accuracy of two global data sets at a similar spatial resolution: the global cropland extent product (Pittman et al. 2010) and Globcover.en_GB
dc.description.sponsorshipJRC.DG.G.3-Monitoring agricultural resourcesen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherPublicacions de la Universitat de Valenciaen_GB
dc.relation.ispartofseriesJRC62395en_GB
dc.titleDynamic Mapping of Cropland Areas in Sub-Saharan Africa Using Modis Time Seriesen_GB
dc.typeArticles in periodicals and booksen_GB
JRC Directorate:Space, Security and Migration

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.