AlphaEarth Foundations is an AI-driven virtual satellite that creates a constantly updating map of the planet and analyzes changes at fine spatial resolution. The system ingests satellite imagery, climate observations, ocean and sensor networks, geospatial elevation and infrastructure data, societal datasets, and crowdsourced inputs. The platform processes these heterogeneous inputs to assign a numeric value to each 10 by 10 meter square and monitors those squares for changes over time. AlphaEarth achieved 24% fewer errors than comparable models when measuring and monitoring 10 by 10 meter areas. The data volume far exceeds human analytic capacity, requiring embedding fields and automated computation to scale analysis.
What is Google DeepMind's AlphaEarth Foundations? It is an AI-driven virtual satellite. The program creates a constantly updating map of the planet. It takes data from multiple sources, processes it, and spits out an analysis while monitoring for changes. Although other AI models are tracking planetary changes, AlphaEarth had 24% fewer errors than others by measuring and monitoring 10 by 10 meter squares.
Satellite imagery, including from Landsat, Sentinel, and MODIS Climate data about temperature, rainfall, wind from weather stations, ocean buoys with sensors, and models simulating Earth's climate Geospatial details from maps of elevations in various locations, GIS data about infrastructure, and oceanic data about changing tides and currents Societal data about humans and how they use the land from sources like the U.S. Census, governments around the world, and agricultural details on crop yields and global land management
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