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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Estimating radiated flux density from wildland fires using the raw output of limited bandpass detectors

Robert L. Kremens A C and Matthew B. Dickinson B
+ Author Affiliations
- Author Affiliations

A Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, 54 Lomb Memorial Drive, Rochester, NY 14623, USA.

B USDA Forest Service, Northern Research Station, 359 Main Road, Delaware, OH 43015, USA.

C Corresponding author. Email: kremens@cis.rit.edu

International Journal of Wildland Fire 24(4) 461-469 https://doi.org/10.1071/WF14036
Submitted: 19 March 2014  Accepted: 6 December 2014   Published: 27 February 2015

Abstract

We have simulated the radiant emission spectra from wildland fires such as would be observed at a scale encompassing the pre-frontal fuel bed, the flaming front and the zone of post-frontal combustion and cooling. For these simulations, we developed a ‘mixed-pixel’ model where the fire infrared spectrum is estimated as the linear superposition of spectra of many (n ~ 30) greybody emitters of randomly selected areal fraction, emissivity and temperature. Our model neglects contributions from atomic and molecular line emission from combustion gasses. The purpose of these simulations was to allow unambiguous use of limited bandwidth detectors to estimate the total power emitted from a wildland fire. From the simulations we observed a well-defined relationship between ground-leaving radiance (W m–2 sr–1) and limited bandpass sensor-reaching radiance for many different detector spectral responses. Error in the relationship is least when the detector sampled in the mid-wave portion of the infrared spectrum (~3–5 μm) where flaming combustion emits most strongly. We validate our approach to estimating total power using data from experimental burns. The ability to estimate total power from limited bandpass measurements has great utility in the observation of wildland fires from ground-based instruments and aircraft and satellite platforms.

Additional keywords: infrared detection, radiated energy.


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