Accelerating climate change is intensifying extreme events, more frequent, more severe, and broader in impact, such as torrential rainfall, heatwaves, typhoons, crop pest and disease, and geohazards. These shocks increasingly propagate through interconnected systems, threatening lives, infrastructure, ecosystems, and food security. Against this backdrop, the deep integration of space-based Earth observation with artificial intelligence is enabling a shift from reactive response toward a new paradigm of proactive early warning, precision prevention, and efficient rescue.

This Community Event aligns with GEO’s “Earth Intelligence for AI” vision and convenes cross-regional, cross-sector dialogue to break silos across disaster risk reduction, AI innovation, international governance, and operational Earth observation. The session focuses on three priority themes: (1) extreme event early warning, integrating multi-source satellite and meteorological observations with AI to shorten decision cycles; (2) AI-enabled cascading-risk and compound-event analysis, including disaster chains that link hydro-meteorological hazards with secondary impacts on ecosystems and agriculture, as well as the escalation pathways of pests, diseases, and invasive species; and (3) resilience enhancement and equitable access, strengthening preparedness, response and recovery, particularly by narrowing the digital and capacity divide between developing and developed countries through data sharing, technology transfer, and sustained training.

Welcome and Introduction (Moderator: Wenjiang Huang)

Presentations:

Audience Q&A (all speakers)

Closing Remarks (moderator)