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Evaluating ASTER imagery and gradient modeling for mapping wildland fire fuels

Author(s): Michael J. Falkowski
Year Published: 2004

Land managers need cost-effective methods for mapping and characterizing fire fuels quickly and accurately. The advent of sensors with increased spatial resolution may improve the accuracy and reduce the cost of fuels mapping. The objective of this research is to evaluate the accuracy and utility of imagery from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite and gradient modeling for mapping fuel layers for fire behavior modeling within FARSITE and FLAMMAP. Empirical models, based upon field data and spectral information from an ASTER image, were employed to test the efficacy of ASTER for mapping and characterizing canopy closure and crown bulk density. Surface fuel models (NFFL 1-13) were mapped using a classification tree based upon three gradient layers; potential vegetation type, cover type, and structural stage.

Citation: Falkowski, Michael J. 2004. Evaluating ASTER imagery and gradient modeling for mapping wildland fire fuels. Pre-thesis report. Moscow, ID: University of Idaho. 11 p.
Topic(s): Fire Behavior, Simulation Modeling, Fuels, Fuel Descriptions
Ecosystem(s): None
Document Type: Research Brief or Fact Sheet
NRFSN number: 11280
FRAMES RCS number: 6414
Record updated: Jun 20, 2018