Detailed Agenda

Geospatial foundation models offer new ways to learn from large, diverse, and often unlabeled geospatial datasets. This presentation explores how geospatial artificial intelligence (GeoAI) is evolving to integrate foundation models into analytical workflows. Topics include remote sensing foundation models, location embeddings, and geospatial vision-language models, with an overview of how Esri is working in this space. Speakers also discuss how embeddings work in geospatial analysis and the potential implications for environmental, urban, and other application areas.