Diego Castresana
ENES
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Geospatial AI & environmental monitoring

MEASURES — Air quality

I co-founded a project applying geospatial AI to air-quality monitoring: using satellite data to identify polluted areas and help decide where ground sensors should go.

The question

Air-quality monitoring depends on where measurements are taken. Satellite observations can help identify areas that deserve closer attention on the ground.

My contribution

I co-founded an air-quality technology project and developed a geospatial modeling platform to improve sensor placement, combining technical development with go-to-market work for smart-city applications.

The work

We explored using satellite data to identify polluted areas and inform the placement of ground sensors. The work brought together environmental questions and applied AI.

Frame from the MEASURES video showing the Urgency Index Method and air-quality sensor locations.

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