CHRIS turns drone imagery into a live, geo-referenced 2D incident map while the drone is still flying. By stitching imagery in real time, supporting infrared and night operations, and showing what has changed between updates, CHRIS helps command and ground teams build a shared picture of a wildfire fast enough to improve response decisions.

Wildfire management is shifting from reactive response to proactive prevention. In this blog, we explore how real-time mapping, AI-driven risk analysis, and smarter operational insights help emergency services and organisations anticipate wildfire threats earlier, coordinate faster, and make more informed decisions when every second counts.

Understanding a wildfire means more than knowing its perimeter. By automatically detecting the fireline and generating a live polygon from aerial imagery, CHRIS helps operational teams identify the head, flanks and tail in near real time, supporting faster decisions, better coordination and improved safety in the field.

Wildfires evolve rapidly, yet responders often rely on static maps or manual perimeter drawings that quickly become outdated. This article explores how CHRIS visualises wildfire progression in near real-time by converting aerial imagery into continuously updated fire polygons. By stacking fire layers from different moments in time, teams can clearly see how a wildfire spreads, where hotspots emerge, and which areas are increasingly at risk.