Agent Frameworks for Autonomous Earth Observation Intelligence
EarthVision Agents represents a paradigm shift in how we approach complex Earth Observation (EO) tasks. Rather than building single-purpose AI models, we develop autonomous agent frameworks that can reason, plan, and execute multi-step workflows to solve sophisticated remote sensing challenges.
These agents combine vision-language understanding, tool use capabilities, and structured reasoning to tackle real-world EO problems that require breaking down complex queries into manageable steps, utilizing specialized tools, and synthesizing information across multiple data sources. Our agent frameworks enable more flexible, interpretable, and powerful Earth AI systems that can adapt to diverse and evolving analysis requirements.
ThinkGeo is a specialized benchmark designed to evaluate how language model agents handle complex remote sensing tasks through structured tool use and step-by-step reasoning. The benchmark assesses agent capabilities across diverse EO scenarios requiring planning, tool selection, and multi-step problem decomposition. ThinkGeo provides comprehensive evaluation metrics for measuring agent performance in real-world Earth observation applications, helping advance the development of more capable and reliable autonomous EO systems.