Document


Title

Inferring energy incident on sensors in low-intensity surface fires from remotely sensed radiation and using it to predict tree stem injury
Document Type: Journal
Author(s): Matthew B. Dickinson ; Bret W. Butler ; Andrew T. Hudak ; Benjamin C. Bright ; Robert L. Kremens ; Carine Klauberg
Publication Year: 2019

Cataloging Information

Keyword(s):
  • Eglin Air Force Base
  • Florida
  • FRE - Fire Radiative Energy
  • FRED - Fire Radiative Energy Density
  • longleaf pine
  • Pinus palustris
  • Quercus laevis
  • RxCADRE
  • tree mortality
  • turkey oak
  • WASP - Wildfire Airborne Sensor Platform
Region(s):
Record Maintained By:
FRAMES Staff; catalog@frames.gov
Record Last Modified: March 20, 2019
FRAMES Record Number: 57479

Description

Remotely 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.

Online Link(s):
Citation:
Dickinson, 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(3):230-236.