AIandGlobalDevelopmentLab/Africa-Urban-Rural-Map

Generate LULC map of Africa with rural and urban classes # Africa-Rural-Urban-Map This repository contains the replication code for the paper *Mapping Africa’s Settlements: High Resolution Urban and Rural Map by Deep Learning and Satellite Imagery*. It includes a link to access the urban-rural map product, instructions for using the trained model to predict LULC in any desired location, and step-by-step guidance for replicating and reproducing the study's results. Link to the paper ## Introduction This README provides comprehensive instructions for setting up and using our system to generate LULC-Rural-Urban maps. It is designed to help users replicate the process by providing Python script files. The README is organized into a step-by-step guide, with important notes Furthermore, all script files are thoroughly commented to aid users in following the instructions effectively. ## Procedure Overview The simulation setup consists of several phases, each designed to serve a specific purpose, including dataset handling, training of deep models, evaluation, and LULC prediction/map generation. The procedure can be summarized as follows: 1. Handling dataset: This phase involves generating and managing the dataset across the entire African continent. 2. Training deep models: This phase is dedicated to training the deep learning models using a five-fold dataset configuration. 3. Evaluation: This phase involves evaluating the performance of the trained models and analyzing the results. 4. Prediction: This phase focuses on using the trained models for map generation. It can be run independently for those who wish to utilize the trained model for predictions at custom locations without replicating the entire workflow. Now, let's dive into each phase in detail. ## Phase 1: Handling dataset This phase involves downloading data from GEE and preparing the dataset for both the model training and prediction phases. Investigating the class distribution when combining LULC classes with JRC SMOD classes. Jupyter notebook Bulk Country- …