(Google’s ESA Sentinel Satellite Imagery Processed by Google Earth Engine AI.)

The new dataset includes optical and radar imagery from Sentinel-1 and Sentinel-2. These images are now ready for analysis inside Google Earth Engine, a platform that uses artificial intelligence to handle large volumes of geospatial data. Users can run complex environmental studies without needing their own supercomputers or storage systems.

This integration helps track deforestation, monitor crop health, detect floods, and observe coastal erosion. It also supports climate research by showing long-term trends in ice melt, sea level rise, and vegetation patterns. Because the data is updated regularly and covers the entire globe, it offers a consistent source for global monitoring efforts.

Google worked closely with the European Space Agency to make sure the data fits smoothly into Earth Engine’s system. The partnership aims to lower barriers for scientists and local decision-makers who need reliable information but lack technical resources. Anyone with internet access can now explore this satellite data through simple tools and code samples provided by Google.

(Google’s ESA Sentinel Satellite Imagery Processed by Google Earth Engine AI.)

The addition of Sentinel imagery strengthens Google’s role in supporting sustainability and disaster response. Groups working on wildfire prediction, drought tracking, or habitat conservation can now act faster using up-to-date visuals powered by AI. This update builds on Google’s past efforts to bring open Earth data to more people around the world.