In this study, we present population distribution map and automated human settlement map for Maputo. To identify buildings from high-resolution remote sensing (HRRS) images of highly dense area, we used pixel-based classification frame with Ensemble Convolution Neural Network (ECNN) algorithm for building detection and used these identified buildings with zone based population data provided by the Japan International Cooperation Agency (JICA) to create population distribution map.

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