Comparison of fire temperature and fractional area modeled from SWIR, MIR, and TIR multispectral and SWIR hyperspectral airborne data

Abstract

Spectral mixture modeling has previously been used to retrieve fire temperature and fractional area from multiband radiance data containing emitted radiance from fires. While this type of temperature modeling has potential for improving understanding of fire behavior and emissions, modeled temperature and fractional area may depend on the wavelength region used for modeling. Using airborne hyperspectral (Airborne Visible Infrared Imaging Spectrometer; AVIRIS) and multispectral (MODIS/ASTER Airborne Simulator; MASTER) data acquired simultaneously over the 2008 Indians Fire in California, we examined changes in modeled fire temperature and fractional area that occurred when input wavelength regions were varied. Temperature and fractional area modeled from multiple MASTER runs were directly compared. Incompatible spatial resolutions prevented direct comparison of the AVIRIS and MASTER model runs, so total area modeled at each temperature was used to indirectly compare temperature and fractional area retrieved from these two sensors. AVIRIS and MASTER model runs using shortwave infrared (SWIR) bands produced consistent fire temperatures and fractional areas when modeled temperatures exceeded 800 K. Temperatures and fire fractional areas were poorly correlated for temperatures below 800 K and when the SWIR bands were excluded as model inputs. The single temperature blackbody assumption commonly used in mixing model retrieval of fire temperature is potentially useful for modeling higher temperature fires, but is likely not valid for lower temperature smoldering combustion due to mixed radiance from multiple fuel elements combusting at different temperatures. SWIR data contain limited emitted radiance from combustion at lower temperatures, and are thus essential for consistent modeling of fire temperature and fractional area at higher fire temperatures.