Розмір шрифту: 
			
		
	LARGE AREA CLASSIFIACTION OF LAND USE/LAND COVER FOR UKRAINE WITHIN SIGMA PROJECT
	
	Остання редакція: 16-06-2017
Тези доповіді
This article presents the results of large area classifiaction of land use/land cover for Ukraine within FP-7 Sigma project and the developed methodology that was used to generate land cover maps for the whole territory of Ukraine based on the Landsat-4/5/7 images for three decades: 1990s, 2000s and 2010s. 
	Ключові слова
remote sensing; crop classifications; neural networks