Analysis of Land Use/Land Cover Changes Using Remote Sensing and GIS Techniques in Parbhani City, Maharashtra, India

Abstract

Land use and land cover is an important factor in understanding the relations of human activities with the environment and thus is necessary to be able to simulate change. The focus of this paper is to map and study the land use and land cover pattern and change among 2002 and 2013 satellite imagery. It also produces a land use land cover maps of Parbhani city in Maharashtra at two epochs in order to detect the changes that take place in the diverse natural resources. After analysis of the image, supervised maximum likelihood algorithm was used to classify the imagery into different land use categories. Five land use classes have been recognized as vegetation, fallow land, barren land, residential area, and water body. The classification of image shows major change in residential areas. The change detection analysis shows that residential area in 2002 is 7.34 % and 14.25 % in 2013, it has been enlarged by 7.11 % similarly change detection for remaining areas has been done. The information on urban growth, land use land cover change study is extremely useful to local government and urban planners for the betterment for future plans of sustainable progress of the city.