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The GeoTessera project produces 128-channel geospatial embeddings from Sentinel satellite imagery. The dataset is tiled at 0.1-degree resolution across the globe, covering 9 years and comprising roughly 3.8 million tiles, each containing embeddings and scale-factor files.
First TESSERA hackathon held at the Indian AI Impact Summit in Delhi, exploring integration with IIT-Delhi's CoRE Stack for geospatial analysis and testing TESSERA labeling workflows.
My throw-away comment at the end of my earlier post shows my scepticism that the JSON file approach was really viable.
