Queryable Earth

Queryable Earth demonstrates text-based search across satellite imagery using a vision-language model and LLMs. Users can search for specific infrastructure or geographic features by converting their text queries into vector embeddings that match against pre-indexed Massachusetts imagery. The system leverages the model’s ability to understand both natural language descriptions and satellite imagery features, enabling intuitive exploration of geographic data.