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Land cover analysis based on descriptive statistics of Sentinel-2 time series data
Published:
2018-12-20
https://doi.org/10.21120/LE/12/2/1
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Varga, O., Gombosné Nagy, I., Burai, P., Tomor, T., Lénárt, C., & Szabó, S. (2018). Land cover analysis based on descriptive statistics of Sentinel-2 time series data. Acta Geographica Debrecina Landscape & Environment Series, 12(2), 1-9. https://doi.org/10.21120/LE/12/2/1
Abstract
In 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.