Analysis of Land Use And Land Cover Changes Using Gis, Rs And Determination of Deforestation Factors Using Unsupervised Classification And Clustering

Abstract

This paper aims to find out the land use/land cover change detection between the year 1990 and 2010 and also the factors for deforestation in Erode District, TamilNadu, India. SOI toposheets and satellite images Landsat TM and IRS LISS III satellite imageries were used to to identify the land use/land cover categories and the factors for deforestation through Remote Sensing and GIS approach ArcGIS 10.1 software were used to categorize the land use/land cover divisions . Remote Sensing and GIS provide dependable and accurate information than the traditional methods employed for such tasks. The thematic features of the area consisting of forest, crop land, industry, built-up land, road and waste land. Many change detection techniques were used. This paper summarizes and shows the results by using classification and clustering techniques.