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A web based platform which aims to map the infrastructure facilities present in the informal settlements in Freetown. Please note that this code base is now archived and this project built is now continued/supported here https://github.com/Code4SierraLeone/shdms
Python and Google Earth Engine workflows for detecting and classifying urban change using Google’s Open Buildings 2.5D Dataset, with a focus on informal settlements in Nairobi. Includes scripts for processing, typology classification, slum-level validation prep, and city-scale spatial analysis.