The OlmoEarth v1.1 family introduces more efficient Earth observation models trained on massive satellite datasets. These vision-language models improve spatial reasoning and temporal analysis for environmental monitoring. Researchers can now deploy smaller, faster weights without sacrificing accuracy. This update streamlines the pipeline for practitioners tracking deforestation and urban growth via satellite imagery.