GeoQuery enables natural-language retrieval of global Sentinel-2 imagery by optimizing text prompts on a 100k proxy subset so that text embeddings correlate with CLAY visual embeddings, then using two-stage text-then-visual search, achieving 31.6% accuracy within 50 km on disaster queries.
Open Source Geospatial Foundation
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Zero-Shot Satellite Image Retrieval through Joint Embeddings: Application to Crisis Response
GeoQuery enables natural-language retrieval of global Sentinel-2 imagery by optimizing text prompts on a 100k proxy subset so that text embeddings correlate with CLAY visual embeddings, then using two-stage text-then-visual search, achieving 31.6% accuracy within 50 km on disaster queries.