Remote sensing is a means for LULC classification. This study was carried out in upper Blue Nile in small catchment called Awramba watershed having an area of 700 ha. To evaluate and tested the accuracy of sentinel 2A level 1 image in land use land cover classification .Thirty â€“Four training simple ground truth points were collected from the field using GPS. Sentinel 2A level 1C Top of Atmosphere (TOA) captured in 28/11/2017 were used as an input for classification. This research includes Land use and Land cover (LULC) classification and accuracy assessment. In this study supervised classification was used. According to the classification the leading LULC practice were agriculture (50.3 %), Forest (31.673), and built up areas (0.958 %), grasses and shrubs (16.66 %). The study had an overall classification accuracy of 0.95 % and kappa coefficient (K) of 0.8.
Keywords: Sentinel 2 , Land Use Land Cover , Accuracy Assessment