Air quality observation / data fusion(drones, satellites and Ground stations)

Drones for Cleaner Skies: Linking Air Pollution to Human Activity in Real Time

Imagine if we could see air pollution as it happens—linking traffic jams, winter wood burning, agricultural practices, or even a wildfire, directly to local air quality.
This project uses drone imagery and sensors to monitor pollutants in the lowest layers of the atmosphere, with high spatial and temporal resolution that satellites and ground stations alone can’t provide.

By fusing this data with existing satellite and ground-based observations, we can build a hypercube mesh of atmospheric insights—powerful enough for real-time awareness, regulatory support, policy development, and even predictive modeling of pollution tied to human and natural activity.

This is not just monitoring—this is a tool for mitigation, decision-making, and empowering communities. By combining these observations with learning-based modeling, we can move beyond tracking pollution to actually predicting future patterns and supporting smarter planning and interventions.

I’m looking for partners from diverse backgrounds—stakeholders, end users, city planners, researchers, or innovators—who have an idea or project in mind where this observational strategy could make a real impact. Let’s connect!