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Inferring energy incident on sensors in low-intensity surface fires from remotely sensed radiation and using it to predict tree stem injuryAuthor(s): Matthew B. Dickinson; Bret W. Butler; Andrew T. Hudak; Benjamin C. Bright; Robert L. Kremens; Carine Klauberg
Source: International Journal of Wildland Fire. 28: 230-236.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
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DescriptionRemotely sensed radiation, attractive for its spatial and temporal coverage, offers a means of inferring energy deposition in fires (e.g. on soils, fuels and tree stems) but coordinated remote and in situ (in-flame) measurements are lacking. We relate remotely sensed measurements of fire radiative energy density (FRED) from nadir (overhead) radiometers on towers and the Wildfire Airborne Sensor Program (WASP) infrared camera on a piloted, fixed-wing aircraft to energy incident on in situ, horizontally oriented, wide-angle total flux sensors positioned,0.5 m above ground level. Measurements were obtained in non-forested herbaceous and shrub-dominated sites and in (forested) longleaf pine (Pinus palustris Miller) savanna. Using log-log scaling to reveal downward bias, incident energy was positively related to FRED from nadir radiometers (R2 = 0.47) and WASP (R2 = 0.50). As a demonstration of how this result could be used to describe ecological effects, we predict stem injury for turkey oak (Quercus laevis Walter), a common tree species at our study site, using incident energy inferred from remotely sensed FRED. On average, larger-diameter stems were expected to be killed in the forested than in the non-forested sites. Though the approach appears promising, challenges remain for remote and in situ measurement.
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CitationDickinson, Matthew B.; Butler, Bret W.; Hudak, Andrew T.; Bright, Benjamin C.; Kremens, Robert L.; Klauberg, Carine. 2019. Inferring energy incident on sensors in low-intensity surface fires from remotely sensed radiation and using it to predict tree stem injury. International Journal of Wildland Fire. 28: 230-236.
KeywordsEglin Air Force Base, fire behaviour, fire effects, fire radiated energy, longleaf pine, Pinus palustris, Quercus laevis, RxCADRE project, tree mortality, turkey oak, Wildfire Airborne Sensor Program (WASP)
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