New AI model integrates petabytes of Earth observation data that stitches together data from actual satellite images, radar, climate simulations, and more to map Earth’s land and coastal waters.
A "virtual satellite" to map Earth in unprecedented detail
New AI model integrates petabytes of Earth observation data that stitches together data from actual satellite images, radar, climate simulations, and more to map Earth’s land and coastal waters.
This is a super cool new model from Google DeepMind! We’re introducing a new way to analyze the planet. Google’s Satellite Embedding dataset uses the power of AI to pack a year’s worth of multi-source satellite data into every single 10-meter pixel, enabling faster and more powerful geospatial analysis. Welcome to the future of deep learning in Earth Engine. The model enables a kind of "virtual satellite" that can be used to see what's going on all over the planet — in 10m increments. This first
This “virtual satellite” idea is wild—being able to map the Earth in that much detail is a total gamechanger tbh. DeepMind team is on another level, fr.
No way, this is wild—real-time, detailed mapping from so many data sources? As someone who geeks out over coastal changes, I’m genuinely impressed. Can it track seasonal shoreline shifts too?
How wonderful. I wonder if I could revisit the hometown of my childhood, to see what it has become？The very thought is intriguing.
Read the article, Similarity Search looks looks so cool.
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