THE PROBLEM
Wildfire management often relies on fragmented, outdated data sources, leading to delayed response and inefficient resource allocation. Inadequate, slow data significantly hinders real time situational awareness, increasing the risk of undetected hotspots that can reignite and escalate into large-scale fires.
Notable cases include the 2022 Cerro Pelado Fire and the Hermit’s Peak/Calf Canyon Fire in New Mexico, which, despite initial containment efforts, reignited to burn over 400,000 acres and destroy nearly 1,000 structures. These fires alone released up to 5 million tons—equivalent to the yearly emissions of millions of cars.