ASIAN CONFERENCE ON REMOTE SENSING ACRS 2016:URBAN SPRAWL PREDICTION USING CELLULAR AUTOMATA: A CASE STUDY OF AHMEDABAD CITY

摘要

Human population continues to accumulate in urban centers. This inevitably increases the urban footprint with significant consequences for biodiversity, climate, and environmental resources. Urban growth prediction models have been extensively studied with the overarching goal to assist in sustainable management of urban centers. There are various existing models, which have their own advantages and limitation. Here by using cellular automata, the prevailing modeling technique to obtain sustainable result. The study is based on the data availability from LISS III. This model assesses developer and user perceptions and critically discusses existing urban growth prediction models, acting as a reference for future model development. The potential of the use of satellite images for Ahmedabad, Gujarat, the assessment of urban growth on which future work should focus as the key factors of economic-environmental sustainability based on parameters taken into considerations that directly influence the land use.