20170215 11262600 1.0 INSPIRE Metadata Directive TRUE Crop suitability for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). The considered crops are: Barley, Cassava, Groundnut, Maize, Millet, Oilpalm, Potatoe, Rapeseed, Rice, Rye, Sorghum, Soy, Sugarcane, Sunflower, Summer wheat, Winter wheat. GLUES UFZ CLE Computational Landscape Ecology Crop suitability Crop suitability for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. GLUES_crop_specific_suitability 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