Building ChatGPT-style tools with Earth observation

Imagine being able to ask a chatbot, “Can you make me an extremely accurate classification map of crop cultivation in Kenya?” or “Are buildings subsiding in my street?” And imagine that the information that comes back is scientifically sound and based on verified Earth observation data. ESA, in conjunction with technology partners, is working to make such a tool a reality by developing AI applications that will revolutionise information retrieval in Earth observation.

A digital helping hand for data

Earth observation generates vast volumes of vital data every day, but it is difficult for humans alone to ensure that we obtain the best value from that data. Fortunately, AI helps in interacting with such large and complex datasets, identifying key features and presenting the information in a user-friendly format.

I*STAR for example, an activity co-funded by the ESA InCubed programme, developed a platform that uses AI to monitor current events like earthquakes or volcano eruptions so that satellite operators can automatically plan the next data acquisitions for customers. The SaferPlaces AI tool, again supported by InCubed, creates flood maps for disaster response teams by merging in situ measurements with satellite data. SaferPlaces was crucial to damage assessment efforts during last year’s floods in Emilia-Romagna in Italy.

Read the full article on www.esa.int.