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https://github.com/baimamboukar/air-quality-socioeconomic-analysis-research

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

https://github.com/baimamboukar/air-quality-socioeconomic-analysis-research

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air-quality google-earth-engine remote-sensing rwanda sentinel-5p
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Mapping Socioeconomic Air Quality Disparities in Rwanda Using Sentinel-5P TROPOMI Data in Google Earth Engine

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  • Host: GitHub
  • Owner: baimamboukar
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air-quality google-earth-engine remote-sensing rwanda sentinel-5p
Created 10 months ago · Last pushed 10 months ago
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README.md

# 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.

[![ArXiv](https://img.shields.io/badge/ArXiv-00A1D6?logo=arxiv&logoColor=white)](https://arxiv.org/) [![HuggingFace](https://img.shields.io/badge/HuggingFace-F9AB00?logo=huggingface&logoColor=white)](https://huggingface.co/) [![Kaggle](https://img.shields.io/badge/Kaggle-20BEFF?logo=kaggle&logoColor=white)](https://kaggle.com/) [![ESA](https://img.shields.io/badge/ESA-Data-003087?logo=satellite&logoColor=white)](https://esa.int/)

Authors

Baimam Boukar Jean Jacques Kamikazi Ndayizeye Raissa Umubyeyi Evelyne Bertinn Ndahayo Singizwa
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
LinkedIn GitHub LinkedIn GitHub LinkedIn GitHub LinkedIn GitHub

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 ($NO2$, $SO2$, $CO$, $O3$, $CH4$, Aerosol Index), aggregated monthly from January 2020 to January 2025 across Rwandas administrative boundaries. Socioeconomic data from Rwandas 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 Rwandas 416 sectors across 30 districts, enables analysis of transportation infrastructure impacts. The combined dataset supports spatial and temporal analysis of air quality disparities.

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Cite This Work

bibtex @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} }

Owner

  • Name: BAIMAM BOUKAR JEAN JACQUES
  • Login: baimamboukar
  • Kind: user
  • Location: Yaoundé

Mobile Developer - Open source - APIs -Cloud | AWSx1

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