The OlmoEarth v1.1 family optimizes satellite imagery processing through improved efficiency and accuracy. These vision-language models leverage a refined training set to better interpret complex geospatial data. This update reduces computational overhead for researchers. Practitioners can now deploy these models for environmental monitoring with lower latency and higher precision than previous versions.