Evaluation of ERS SAR data for prediction of fire danger in a boreal region
Document Type: Journal Article
Author(s): Laura L. Bourgeau-Chavez; Eric S. Kasischke; Mark D. Rutherford
Publication Year: 1999

Cataloging Information

  • biomass
  • black spruce
  • boreal forests
  • burn
  • Canada
  • CFFDRS - Canadian Forest Fire Danger Rating System
  • climatology
  • coniferous forests
  • DC - CFFDRS Drought Code
  • DMC - CFFDRS Duff Moisture Code
  • drought
  • duff
  • duff moisture
  • ERS SAR data
  • evapotranspiration
  • fine fuels
  • fire danger rating
  • fire danger rating system
  • fire exclusion
  • fire injuries (plants)
  • fire intensity
  • fire management
  • fire weather
  • fire weather index
  • fire weather indexes
  • forest fire
  • forest management
  • fuel accumulation
  • fuel moisture
  • FWI - CFFDRS Fire Weather Index System
  • herbaceous vegetation
  • humidity
  • index
  • information
  • large
  • litter
  • moisture
  • mosaic
  • overstory
  • Picea glauca
  • Picea mariana
  • plant growth
  • Populus tremuloides
  • prediction
  • radar
  • rating system
  • regeneration
  • regression models
  • remote sensing
  • research
  • SAR - synthetic aperture radar
  • satellite
  • season of fire
  • soil moisture
  • spruce
  • statistical analysis
  • status
  • Tok
  • vegetation surveys
  • wetlands
  • wildfires
  • wind
Record Maintained By:
Record Last Modified: June 1, 2018
FRAMES Record Number: 3597
Tall Timbers Record Number: 17317
TTRS Location Status: In-file
TTRS Call Number: Journals-I
TTRS Abstract Status: Okay, Fair use, Reproduced by permission

This bibliographic record was either created or modified by the Tall Timbers Research Station and Land Conservancy and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of the Tall Timbers Research Station and Land Conservancy.


Research was conducted to determine the utility of Synthetic Aperture Radar (SAR) data for measuring the fuel moisture status of boreal forests as reflected in Fire Weather Index Codes. Three years (May to August 1992-1995) of SAR data from the European Remote Sensing Satellite (ERS) were analysed over the 1990 Tok Alaska burned and adjacent unburned black spruce forests. Corresponding Fire Weather Index Codes of the Canadian Forest Fire Danger Rating System were obtained from Tok Area Forestry, Station number 500720. Strong relationships were expected between the SAR data and fire codes because of the dependence of ERS SAR backscatter on the moisture status of forests and exposed surfaces (burn scars). Astepwise multilinear regression procedure was used to analyse the relationships. Three statistically significant multilinear regression models resulted from this analysis procedure. The models developed show there is potential for using ERS SAR backscatter to generate indicators that are related to Fire Weather Index, Duff Moisture Code, and Drought Code. This research could lead to the ability for remote prediction of fire danger over large regions at relatively fine spatial resolution with minimal weather information.

Online Link(s):
Bourgeau-Chavez, Laura L.; Kasischke, Eric S.; Rutherford, Mark D. 1999. Evaluation of ERS SAR data for prediction of fire danger in a boreal region. International Journal of Wildland Fire 9(3):183-194.