The OlmoEarth platform enables planetary-scale geospatial inference by integrating vision-language models with satellite imagery. It leverages a specialized dataset of 100 million image-text pairs to map Earth's surface. This framework allows researchers to query geographic data using natural language. Practitioners can now automate large-scale land cover analysis without manual labeling.