Strengthening Real-time Flood Mapping with AI and Satellite Data for Rural Communities

Mali is combining AI, satellite data and water-level sensors to map flood risks in real time, helping rural communities prepare earlier and protect lives, homes and livelihoods.

Solution factsheet

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Overview

The system combines rainfall forecasts, satellite and drone data, and deep learning to predict flooding and map areas at risk. Low-cost sensors measure water levels and transmit readings through mobile networks, helping fill gaps in local monitoring.

Initially focused on Koula in the Niger Basin, the project integrates these tools with existing hydrological models and flood warning systems to improve the accuracy and timeliness of alerts and support better planning and emergency response.

At a glance

Organisation	Agence de l’Environnement et du Développement Durable
Primary sector	Early Warning Systems
Innovation stage	💡 Research and Development
AFCIA Programme

Funding Received

Climate impacts addressed

Floods

Project team

Marcus Nield Communication Expert

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