Study the Changes of Land Use by the Help of GIS & RS Case Study: Andimeshk City

Abstract

Increasing population growth in many cities has made changes in the land uses and physical shape of the cities. Studying the land use changes of cities and study of their causes during different time periods can be effective on urban managing and natural resources management. In this study that has been applied in southwest of IRAN, Andimeshk city, by using Landsat 5 & Landsat 8 images of 1985, 2000 & 2013 as the source of data, and by describing images via supervised classification with maximum likelihood algorithm, land use changes between years 1985 and 2013 were calculated. Results showed that area of ranges has reduced and the area of urban regions, agricultural lands and water covered areas has increased between 1985 and 2013. Among all of land uses, ranges had the most changes (17905.09 ha reduce) and urban regions had the least changes (2840.97ha increase).

Keywords

• remote sensing
• gis
• land use
• change detection
• supervised classification