LAND USE PATTERN USING SEMIAUTOMATIC CLASSIFICATION PLUGIN (SCP) WITH OPEN SOURCE DATA

Abstract

Since the early 1970s, NASA (National Aeronautics and Space Administration of the United States) has been developing a series of multispectral satellites known as Landsat. Landsat photos are frequently used in environmental studies. Image classification is one of the most important tasks in image processing and analysis. It's used to look at different forms of land use and cover. Satellite photos, like high resolution satellite images, are obtained using remote sensing. However, just examining these photos isn't enough; we also need to process them. Thus, to analyze these images, we need to classify them. For this paper the Landsat classification has been performed on the Sungai Petani a major city in Malaysia. Using Landsat 8-OLI data, this paper propose a wavelet transform-based Landsat classification. This classification analysis has been performed using the plugin tool Semi-Automatic Classification tool in QGIS software.