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Conceptual Phase
Africa FireShield Initiative
Developing an AI-powered early warning system to predict and mitigate wildfire risks in Africa.
Concept StageView Contributors
About the Initiative
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Open ScienceField ResearchData ConfidentialCommunity Driven
Conceptual PhaseAbout
Africa FireShield is an open-science initiative building an AI-powered early warning system to predict, monitor, and mitigate wildfire risks across the African continent. By fusing satellite imagery, climate data, and ground-truth observations from citizen contributors, the project develops predictive models that alert local authorities and communities days before high-risk fire events — protecting biodiversity, farmland, and lives.
Contribution by Country
Team & Collaboration
Francis Oppong, PhD
Project Lead
Assistant Professor and researcher in Mechanical Engineering, Francis leads the design of intelligent systems for disaster prevention.
Laurent Kouadio
AI & Geodata Collaborator
Laurent contributes his expertise in geophysical data analysis and AI modeling to assess environmental risk factors.
Contributors
Get Involved
How to Contribute
Make an Impact
- 1Share field data from borehole surveys
- 2Upload geological or hydrogeological reports
- 3Provide local knowledge and community insights
This project is in its conceptual phase. Early contributions help shape the final design.
Project Story
Africa FireShield Initiative
Developing an AI-powered early warning system to predict and mitigate wildfire risks in Africa.
Story coming soon
Conceptual PhaseConcept Stage