Vol. 12 No. 2 (2018)
Published
December 31, 2018
O. Gy. Varga. – I. Gombosné Nagy. – P. Burai. – T. Tomor. – Cs. Lénárt. – Sz. Szabó. Land cover analysis based on descriptive statistics of Sentinel-2 time series data
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Articles
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Land cover analysis based on descriptive statistics of Sentinel-2 time series data
1-9Views:385In 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.
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