The OlmoEarth platform leverages a vision-language model trained on massive satellite imagery datasets. It transforms raw geospatial data into actionable insights through natural language queries. This framework allows researchers to analyze environmental changes and urban growth rapidly. Practitioners can now perform complex planetary-scale inference without manual feature engineering or specialized GIS software.