Google Maps Custom Satellite Embeddings: 5-Day Monitoring
Google introduced Custom Satellite Embeddings powered by the AlphaEarth Foundations AI model, enabling organizations to generate custom satellite imagery at intervals down to 5 days instead of traditional annual mapping. The new product enables crop monitoring, landscape change detection, and forest health tracking with higher temporal resolution for agriculture, public sector, and supply chain applications.
Great. Sometimes opening up data to the community can bring new horizons and valuable projects that would otherwise never emerge within a corporation.
What are satellite embeddings and how do they work?
Satellite embeddings are a data format that converts multilayered satellite observation data—including optical imagery, radar signals, and LiDAR—into a unified 64-channel representation. This format simplifies processing and enables landscape analysis without requiring extensive computing resources or deep ML expertise.
How do Custom Satellite Embeddings differ from standard annual datasets?
Custom Satellite Embeddings offer flexible, on-demand monitoring at intervals as short as 5 days for specific areas of interest, whereas standard datasets are annual. This enables real-time change tracking and response to seasonal phenomena like crop growth or disaster damage.
What are the practical applications of this technology?
Applications include agriculture (crop classification, growth monitoring), forestry (forest health monitoring), deforestation tracking, post-disaster damage detection, infrastructure monitoring, and climate risk assessment in supply chains.
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- Google Maps Platform
- Custom Satellite Embeddings
- AlphaEarth Foundations
- Google DeepMind3
- Google Earth Engine