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Watch this conference talk exploring agentic reasoning models specifically designed for Earth observation applications. Learn how artificial intelligence agents can be developed to analyze and interpret geospatial data, with insights into the latest research methodologies and practical implementations in the field of Earth observation. Discover the intersection of AI reasoning capabilities and remote sensing technologies, including how these models can autonomously process satellite imagery, environmental data, and other Earth observation datasets. Gain understanding of the theoretical foundations behind agentic systems and their potential applications in monitoring environmental changes, disaster response, agricultural assessment, and climate research. Explore the challenges and opportunities in developing AI agents that can reason about complex geospatial patterns and make informed decisions based on Earth observation data.
