Bridging Earth Observations with Risk Analytics at Scale

The white paper "Bridging Earth Observations and Risk Analytics at Scale," published by LunateAI following its pivotal session at NY Climate Week 2025, explores how integrating geospatial data, Earth Observations (EO), and Generative AI can revolutionize global climate risk modeling. While a massive surge in satellite infrastructure currently generates over 130 terabytes of daily data, a significant divide remains between this raw data and actionable downstream analytics. To overcome persistent industry bottlenecks—such as outdated 1990s data licensing frameworks, fragmented infrastructure, and critical workforce skill gaps—the synthesis outlines a collaborative roadmap focused on creating cloud-native, AI-ready data standards and translating highly technical jargon into clear business value props for sectors like parametric insurance and corporate risk management. Ultimately, the paper positions GeoAI as the ultimate catalyst to dismantle data silos and build long-term, interdisciplinary solutions capable of driving true climate action, economic growth, and community resilience.