Vol. 12 No. 2 (2018)
Published
December 31, 2018
Varga O. Gy. – Gombosné Nagy I. – Burai P. – Tomor T. – Lénárt Cs. – Szabó Sz. Land cover analysis based on descriptive statistics of Sentinel-2 time series data
##issue.tableOfContents##
Articles
-
Land cover analysis based on descriptive statistics of Sentinel-2 time series data
1-9Views:336In our paper we examined the opportunities of a classification based on descriptive statistics of NDVI
throughout a year’s time series dataset. We used NDVI layers derived from cloud-free Sentinel-2 images
in 2018. The NDVI layers were processed by object-based image analysis and classified into 5 classes, in
accordance with Corine Land Cover (CLC) nomenclature. The result of classification had a 76.2% overall
accuracy. We described the reasons for the disagreement in case of the most remarkable errors.