Land cover analysis based on descriptive statistics of Sentinel-2 time series data

Dátum
2018-12-20
Folyóirat címe
Folyóirat ISSN
Kötet címe (évfolyam száma)
Kiadó
Absztrakt

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.

Leírás
Kulcsszavak
Sentinel-2, CLC2018, NDVI, change-based classification
Forrás
Acta Geographica Debrecina Landscape & Environment series, Vol. 12 No. 2 (2018) , 1-9