Latest AI model integrates petabytes of Earth commentary data to generate a unified data representation that revolutionizes global mapping and monitoring
Every single day, satellites capture information-rich images and measurements, providing scientists and experts with an almost real-time view of our planet. While this data has been incredibly impactful, its complexity, multimodality and refresh rate creates a brand new challenge: connecting disparate datasets and making use of all of them effectively.
Today, we’re introducing AlphaEarth Foundations, a synthetic intelligence (AI) model that functions like a virtual satellite. It accurately and efficiently characterizes the planet’s entire terrestrial land and coastal waters by integrating huge amounts of Earth commentary data right into a unified digital representation, or “embedding,” that computer systems can easily process. This permits the model to offer scientists with a more complete and consistent picture of our planet’s evolution, helping them make more informed decisions on critical issues like food security, deforestation, urban expansion, and water resources.
To speed up research and unlock use cases, we are actually releasing a group of AlphaEarth Foundations’ annual embeddings because the Satellite Embedding dataset in Google Earth Engine. Over the past 12 months, we’ve been working with greater than 50 organizations to check this dataset on their real-world applications.
Our partners are already seeing significant advantages, using the information to raised classify unmapped ecosystems, understand agricultural and environmental changes, and greatly increase the accuracy and speed of their mapping work. On this blog, we’re excited to spotlight a few of their feedback and showcase the tangible impact of this latest technology.
