期刊名称：Acta Geographica Debrecina. Landscape and Environment Series
印刷版ISSN：1789-4921
电子版ISSN：1789-7556
出版年度：2018
卷号：12
期号：2
页码：1-9
DOI：10.21120/LE/12/2/1
出版社：University of Debrecen
摘要：In our paper we examined the opportunities of a classification based on descriptive statistics of NDVIthroughout a year’s time series dataset. We used NDVI layers derived from cloud-free Sentinel-2 imagesin 2018. The NDVI layers were processed by object-based image analysis and classified into 5 classes, inaccordance with Corine Land Cover (CLC) nomenclature. The result of classification had a 76.2% overallaccuracy. We described the reasons for the disagreement in case of the most remarkable errors. .
