Mapping Socioeconomic Air Quality Disparities In Rwanda Using Sentinel-5P TROPOMI Data In Google Earth Engine

This repository investigates air quality disparities in Rwanda by mapping socioeconomic factors against satellite-derived air quality data, using Sentinel-5P TROPOMI, Google Earth Engine, and machine learning techniques.

●• Authors

Baimam Boukar	Kamikazi Raissa	Umubyeyi Evelyne	Bertinn Ndahayo
CMU-Africa	CMU-Africa	CMU-Africa	CMU-Africa
bbaimamb@andrew.cmu.edu	rkamikaz@andrew.cmu.edu	eumubyey@andrew.cmu.edu	bndahayo@andrew.cmu.edu

●• Dataset Description

This study integrates three datasets to analyze air quality and socioeconomic disparities in Rwanda. Sentinel-5P TROPOMI data provides daily global coverage of air pollutants ($NO_2$, $SO_2$, $CO$, $O_3$, $CH_4$, Aerosol Index), aggregated monthly from January 2020 to January 2025 across Rwanda’s administrative boundaries. Socioeconomic data from Rwanda’s 2022 Census includes poverty metrics (non-poor, vulnerable, moderately poor, severely poor) and a composite poverty index for each sector. OpenStreetMap road network data, covering Rwanda’s 416 sectors across 30 districts, enables analysis of transportation infrastructure impacts. The combined dataset supports spatial and temporal analysis of air quality disparities.

●• Methodology

●• Reproduction Steps

●• Cite This Work

@software{bbaimamb_etal_2025,
author = {Baimam Boukar Jean Jacques and Kamikazi Ndayizeye Raissa and Umubyeyi Evelyne and Bertinn Ndahayo Singizwa},
month = apr,
title = {{Mapping Socioeconomic Air Quality Disparities In Rwanda Using Sentinel-5P TROPOMI Data In Google Earth Engine}},
url = {https://github.com/baimamboukar/air-quality-socioeconomic-analysis-research},
version = {1.0},
year = {2025}
}