Land Use Change Analysis Using Landsat Tm Data And Archival Land Use Map

Abstract

Change detection is an important analytic function in pattern recognition and image processing. Its technique is determine the change between two or more time period of particular object of study, information about change is necessary for updating land cover maps and the management of natural resources. In this study , supervised classification , unsupervised classification and combined classification methods were used to determine the change in land use and expansion in urban area, using landsat images of 1985 and 1999 of west bank. Accorelation between PASSIA land use map and the resultant map shows an expansion of urban area of about 6%.