Fire models and methods to map fuel types: the role of remote sensing
Document Type: Journal Article
Author(s): Lara A. Arroyo; Cristina Pascual; Jose A. Manzanera
Publication Year: 2008

Cataloging Information

  • aerial photo interpretation
  • Australia
  • Canada
  • chaparral
  • crown fires
  • dead fuels
  • distribution
  • ecological modeling
  • Europe
  • experimental fire
  • FARSITE - Fire Area Simulator
  • fire intensity
  • fire management
  • forest fuels
  • forest management
  • fuel classification
  • fuel loading
  • fuel management
  • fuel mapping
  • fuel types
  • grasses
  • grasslands
  • hardwoods
  • litter
  • photography
  • pine forests
  • remote sensing
  • savannas
  • shrub fuels
  • slash
  • tundra
  • wetlands
  • wildfires
Record Maintained By:
Record Last Modified: June 1, 2018
FRAMES Record Number: 3661
Tall Timbers Record Number: 23153
TTRS Location Status: In-file
TTRS Call Number: Fire File
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.


Understanding fire is essential to improving forest management strategies. More specifically, an accurate knowledge of the spatial distribution of fuels is critical when analyzing, modeling and predicting fire behavior. First, we review the main concepts and terminology associated with forest fuels and a number of fuel type classifications. Second, we summarize the main techniques employed to map fuel types starting with the most traditional approaches, such as field work, aerial photo interpretation or ecological modeling. We pay special attention to more contemporary techniques, which involve the use of remote sensing systems. In general, remote sensing systems are low-priced, can be regularly updated and are less time-consuming than traditional methods, but they are still facing important limitations. Recent work has shown that the integration of different sources of information and methods in a complementary way helps to overcome most of these limitations. Further research is encouraged to develop novel and enhanced remote sensing techniques.

Online Link(s):
Arroyo, Lara A.; Pascual, Cristina; Manzanera, Jose A. 2008. Fire models and methods to map fuel types: the role of remote sensing. Forest Ecology and Management 256(6):1239-1252.