Abstract

• Land use and land cover (LULC) classification using Satellite Imagery is a noteworthy approach to monitor changes in Kyaing Tong Township. Using remote sensing techniques (RS) and Geographic information Systems (GIS), LULC is classified into six categories: agriculture land, bare land, built-up area, dense forest, sparse forest and water-body. The principal aim of this paper is to identify the spatial distribution of LULC classes within time-span and assess the changes patterns of its class. To retrieve attribute data, maximum likelihood classification algorithm is used. Ground truth and remote sensing data were interpreted by Kappa coefficient, the resulted values show over 85 percent which is found near perfect satisfactory agreement. Likewise, to know clearly the changes, volume of change method is analysed, it points out that the trend of change is going to both increased and decreased. The positive changes or the gain area were sparse forest 5.21 percent agriculture land with 4.72 percent and build-up area with 1.81 percent whereas, the negative changes or the loss area were dense forest with 10.10 percent, bare-land with 0.89 percent and water-body with 0.75 percent. As the technical skill advance day by day, the digital aera of LULC can be acquired from the remote sense technology. Therefore, the application of GIS/RS methods are the best estimation of spatial and temporal changes in land use and land cover study.