Overview

FireKite is a compact, platform-agnostic Wide Area Motion Imaging (WAMI) sensor system adapted specifically for wildland fire management. Originally developed for defense applications, FireKite provides continuous mid-wave infrared (MWIR) video over expansive areas, while maintaining a high pixel count. By capturing over 70 million ground points per second without needing to mechanically point at specific targets, the system is capable of wide-area surveillance of active fires unobtainable with current technologies.

Science Area

Wildfires are becoming more frequent and more severe in the western U.S in response to changes in climate. New extremes in fire weather allow wildfires to burn hotter, faster, and longer, causing unprecedented and cascading impacts on ecosystems and communities. New measurement capabilities for early detection and fire tracking are urgently needed to support fire managers and post-fire remediation challenges associated with large and destructive fires.

Technology

Weighing under 40 pounds and operating at just 150 watts, FireKite is a compact sensor pod featuring powerful onboard processing, storage, and communications capabilities. Utilizing an advanced step-stare engine with a 60-degree field of view, the payload continuously processes, orthorectifies, and geolocates high-resolution imagery in real-time. FireKite is controlled in-flight via a secure digital data link, allowing it to execute both persistent orbiting and linear mapping missions. The flexible architecture stores up to eight hours of continuous data while simultaneously streaming virtual video feeds directly to multiple users on the ground on-demand via cellular or mobile ad hoc networks.

Advancements

• Targeted video streams are capable of generating up to 10 virtual, independently targeted video streams sent directly to support units on the ground in real-time.
• High-Resolution MWIR is sensitive to small hot-spots with a Ground Sample Distance (GSD) of 0.6 m from 15,000 ft, resolving cultural features, fire perimeters, and fuel consumption.
• Advanced AI/ML prediction streamlines data processing to improve models that generate tactical predictions of fire spread.