Abstract:In this study an attempt was made to compare the performance of three widely accepted Markovian models of urban growth based on Cellular Automata (CA_MC), Multi-Layer Perceptron (MLP_MC), and Logistic Regression (LR_MC) in the Kolkata Metropolitan Area. The long-term Landsat images (from 1975 to 2020) were used to study the urban growth. A set of performance metrics, i.e., Kappa, Probability of Detection, False Alarm Ratio, Critical Success Index, and Accuracy Score, were employed to assess the accuracy of the… Show more
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