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
For spring '24. I am graduating soon thank you everyone.
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.
Guided Team Challenge 2021: Exposure Team Project
This repo implements the City Segment Deprivation (CSD) model, an open, reproducible workflow for preprocessing, training, applying, and validating a global urban deprivation classifier. All scripts used in the manuscript, including comparisons with SSI, MN, and WRI datasets, are included.
Detección de crecimiento urbano usando imagenes del satelite Sentinel-1
AI Climate: Detection of Informal Settlements
This repository contains the code for paper titled "User and Data-centric Artificial Intelligence for Mapping and Benchmarking Urban Deprivation for a Global Sample of Cities"
Add a description, image, and links to the informal-settlements topic page so that developers can more easily learn about it.
To associate your repository with the informal-settlements topic, visit your repo's landing page and select "manage topics."