Detecting Air Pollution in Nigeria using Machine Learning and Satellite Imagery

Local Project Port Harcourt, Nigeria Chapter

Coordinated by the Lead of Nigeria, Kenneth Gigi,

Status: Completed

Project Duration: 19 Aug 2022 - 30 Sep 2022

Open Source resources available from this project

Project background.

Nigeria has the largest number of deaths in Africa due to air pollution. Contributors to this challenge being vehicle emissions, generator fumes, bush burning, crude oil exploration, etc.

To have a better understanding of the problem and how it can be fixed, it is important to understand which regions are affected by this the most.

The problem.

Air contamination kills several people annually and Nigeria has high rates of unhealthy air quality across the African continent.

Learning about air pollution and identifying regions affected will help Nigerians better understand how to manage their health and remedy the situation.

Project goals.

1. Get a list of regions in Nigeria suffering from air pollution 2. Identifying regions in the country that require immediate attention by the government 3. Identifying possible causes for the air high levels of air pollution and providing recommendations to remedy the situation

Project plan.

    Learning outcomes.

    1. Processing satellite imagery
    2. Carrying out image segmentation
    3. Creating machine learning-driven heat maps to identify regions with high levels of air pollution

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