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