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dc.contributor.authorKUSSUL NATALIAen_GB
dc.contributor.authorSKAKUN SERGIIen_GB
dc.contributor.authorSHELESTOV ANDRIIen_GB
dc.contributor.authorKRAVCHENKO OLEKSIIen_GB
dc.contributor.authorGALLEGO PINILLA FRANCISCOen_GB
dc.contributor.authorKUSSUL OLGAen_GB
dc.date.accessioned2017-05-31T00:19:32Z-
dc.date.available2017-05-29en_GB
dc.date.available2017-05-31T00:19:32Z-
dc.date.created2017-05-29en_GB
dc.date.issued2012en_GB
dc.date.submitted2013-04-29en_GB
dc.identifier.isbn978-1-4673-1159-5en_GB
dc.identifier.urihttp://ieeexplore.ieee.org/document/6350500/en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC69394-
dc.description.abstractIn the paper we describe the results of a pilot project on crop area estimation with satellite images in Ukraine. The best results were obtained with MLP classifiers and TM images that demonstrated to give a cost-efficient contribution to the improvement of the estimators. MODIS images also demonstrated to be cost-efficient. This study provided useful insights in the framework of Geoland2-Crop CIS and updates the conclusions of the MARS project in the mid 90’s: at that time the approach had proved to be technically solid, but did not reach the cost-efficiency threshold with the costs of 15 years ago.en_GB
dc.description.sponsorshipJRC.D.5-Food Securityen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherIEEEen_GB
dc.relation.ispartofseriesJRC69394en_GB
dc.titleCrop area estimation in Ukraine using satellite data within the MARS projecten_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1109/IGARSS.2012.6350500en_GB
JRC Directorate:Sustainable Resources

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