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26min chapter
What does a Foundational Model of Earth look like? Clay Foundation: Bruno Sanchez-Andrade Nuño - MBM#67
Minds Behind Maps
Applications of a Foundational Model of Earth
The chapter explores the practical applications of a foundational model of Earth in tasks such as mapping deforestation, land cover classification, and detecting aquaculture locations with over 90% accuracy. It discusses how the model's self-learning aspect allows for recognizing relationships like biomass and land cover with minimal training data, leading to faster processing and minimal data input compared to traditional models. The chapter also touches on the concept of Earth observation, monitoring changes over time with data from satellites, and how AI is utilized to analyze various data sources for creating consistent embeddings at different resolutions.
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