Abstract

This article presents a result of applying object – base imagery classification technique to Land Cover status based of Ba Lat river area by Landsat 5TM Image.This process is done in 3 steps: seg-mentation, sampling and object classification, checking and assessing the accuracy of classification results. Segmented imagery were classified in to 8 statuses of land cover paddy land, mangroves, mixed garden, water surface, aquaculture land, construction land, salt making land and unused land. The classification results for high accuracy with an overall accuracy of 92.24% and Kapa coefficient of 0.88