MODELING FUTURE URBAN GROWTH AND AGRICULTURAL LAND DYNAMICS IN CENTRAL BANGLADESH USING A MACHINE LEARNING APPROACH

With increasing population and urbanization being a prevailing trend in developing countries, Bangladesh is experiencing a significant urban shift.Gazipur, the industrial hub of Bangladesh, is at the forefront of this urbanization surge driven by development activities.This study employs a machine learning algorithm to forecast the future state of Gazipur district.Landsat images spanning from 1990 to 2020, with a decadal interval, were utilized.The supervised classification scheme, employing the maximum likelihood classifier, was applied in the analysis.The prediction phase incorporated the Cellular Automata-Artificial Neural network algorithm.The study reveals an estimated urban area of 124.5 km 2 by 2030, signifying an expansion of approximately 20 km 2 during 2020 to 2030.This equates to an annual urban growth rate of 2 km 2 ,…