GIS, REMOTE SENSIG AND IMAGE PROCESSING TECHNIQUES INVOLVED IN LAND USE AND LAND COVER CLASSIFICATION OF HYDERABAD CITY

摘要

The classification of land use and land cover has been a serious concern for planners and development agencies. The supervised classification and unsupervised classification has been the exercise to save time and to make the classification a rational practice .The remote sensing techniques made it easier though it still need much care. However some of the areas always remained out if the classification categories. But these problems have been solved to a great extent in supervised classification scheme. Hyderabad has been the fastest growing metropolitan city of India during last decade. Therefore the satellite imageries of the Hyderabad city are used to study the nature of the land use and land cover during last three decades. Land uses are continuously changing phenomena of city regions. They are also transformed from one class to another and some of them get rejuvenated. It is due to these complexities land use classification became paramount which is still a tedious task. This paper is about the urban land use classification domain in which authors have tried to sketch some methodologies of supervised classification using LANDSAT imageries of Hyderabad city in ERIDAS environment. Using this method optimum result could be detected to compare the temporal changes in land use and land cover. And development measure could be chalked out on the basis of classification results.