Presentation + Paper
7 June 2024 Imaging sensor band comparison for situational awareness in wildfires
Patrick Leslie, Joshua Follansbee, Thomas Watson, Shane Jordan, Lindsey Wiley, Eddie Jacobs, Ronald Driggers
Author Affiliations +
Abstract
In recent decades, wildfires have become increasingly widespread and hazardous. Dryer, hotter weather combined with more frequent heat waves leave forest areas susceptible to sudden, intense, and fast-growing forest fires. To protect private property and mitigate the damage, Hot Shot fire fighters are deployed into these dangerous situations. Extensive satellite and aerial platforms possess optical techniques for monitoring wildfire risks and boundary tracking. sUAS (small unmanned aerial system) based EO/IR systems provide a solution for real-time, high resolution, targeted response to acquire information critical to the safety and efficacy of wildfire mitigation. Real-time imagery from a sUAS of the position of Hot Shots and the progression of the fire boundary would be easily obtained and offer a method of ensuring safe deployment. An ideal sensor system for situational awareness in this environment would be able to image the ambient terrain and firefighters with good contrast while also detecting fire signatures and imaging through the smoke. The longer wavelength infrared bands have demonstrated imaging through the smoke of forest fires. However, near the wildfire where the Hot Shots work, they also receive strong radiometric signal from the temperature of the smoke. The emitted signal of the smoke can obscure the line of sight similarly to the scattering effect of wildfire smoke in the visible spectrum. The reflective and emissive components of a wildfire scene are studied and compared in the visible (VIS, 0.4 – 0.7μm), shortwave infrared (SWIR, 1.0-1.7μm), extended SWIR (eSWIR, 2.0-2.5μm), and longwave infrared (LWIR, 8-14μm). Both a radiometric model and calibrated field measurements find a band that has the highest probability for a continuous line of sight for terrain, firefighters, and fire signatures in a wildfire scene.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Patrick Leslie, Joshua Follansbee, Thomas Watson, Shane Jordan, Lindsey Wiley, Eddie Jacobs, and Ronald Driggers "Imaging sensor band comparison for situational awareness in wildfires", Proc. SPIE 13045, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXV, 130450R (7 June 2024); https://doi.org/10.1117/12.3014050
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KEYWORDS
Reflection

Sensors

Long wavelength infrared

Short wave infrared radiation

Calibration

Forest fires

Emissivity

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