From alerts to action: Streamlining rapid emergency mapping with automated workflows

Kurzfassung

Rapid access to actionable geospatial information is critical in disaster response, but current satellite-based emergency mapping still faces major bottlenecks. This talk outlines a vision for streamlining emergency mapping workflows by automating image analysis with deep learning and shifting from static map products to dynamic web-based services. We also explore how disaster alerts can be linked to automated satellite tasking and spatial prioritization. Key opportunities and challenges are highlighted, aiming to spark discussion on how we can collectively advance toward faster and smarter emergency mapping.