Matthew Hanson
Matthew Hanson is a geospatial technology leader specializing in Earth observation data systems, open standards, and cloud-native geospatial architectures. With 30 years of experience in remote sensing, imaging science, and software engineering, he has played a key role in advancing interoperable data ecosystems, including significant contributions to the STAC specification. Matthew works across industry and government to design scalable platforms for satellite data processing and discovery, and is an active contributor to open-source projects and a frequent speaker at geospatial and Earth observation conferences. This will be Matt's 12th FOSS4G.
Sessions
STAC enables structured geospatial search, but GeoAI introduces semantic search with vector embeddings. This talk shows how to combine both, using STAC for discovery and embeddings for similarity, to support modern geospatial analysis workflows.
GeoAI embeddings span models, representations, and systems, but are often conflated. This talk introduces a clear framework and compares approaches like Clay and TESSERA to help practitioners understand and apply geospatial embeddings in real-world workflows.
STAC has evolved into core geospatial infrastructure. This talk covers its current state, real-world adoption, key challenges, and how it fits into emerging architectures for scalable discovery and analysis.