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  • These LULC maps were created through automatic digital classification of RapidEye imagery acquired in November 2012. Reference (or field) data on which the classification was based were acquired through a field campaign that lasted from June to November 2012. Standard image pre-processing techniques such as geometric and radiometric correction were conducted on the data prior to classification. The Random Forest classification algorithm was used for classification. A single level classification was conducted to reveal six LULC classes. Discrimination between different crop types was not possible due to the use of a mono-temporal image