This image shows an “embedding” from Tessera, focusing on the city of Paris, France.
The European Space Agency (ESA) introduced Tessera, a new artificial intelligence (AI) model designed to make Earth-observation imagery more accessible to scientists, policymakers and non-specialist users. The system applies advanced machine-learning techniques to satellite imagery, helping users identify patterns, understand environmental change and extract information more efficiently.
ESA developed Tessera as part of its broader effort to expand access to Earth-observation data generated through the Copernicus program and other satellite missions. By simplifying the interpretation of complex imagery, the model has the potential to support a wide range of applications, including land-use monitoring, disaster response, environmental assessment and infrastructure planning.
As the volume of Earth-observation data continues to grow, AI-powered tools are becoming increasingly important for turning imagery into actionable information. ESA officials say systems such as Tessera can help bridge the gap between data collection and decision-making by enabling users to interact with satellite information in more intuitive ways.
The initiative also reflects a broader trend across the geospatial sector, where AI is being integrated into workflows to improve efficiency, automate analysis and unlock new insights from rapidly expanding datasets. As agencies and organizations seek to maximize the value of Earth-observation programs, tools such as Tessera may play an increasingly important role in helping users view and understand the planet.
Source: University of Cambridge/Tessera
