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Evaluating ASTER satellite imagery and gradient modeling for mapping and characterizing wildland fire fuels
Falkowski, Michael J.; Gessler, Paul; Morgan, Penelope; Smith, Alistair M. S.; Hudak, Andrew T. 2004. Evaluating ASTER satellite imagery and gradient modeling for mapping and characterizing wildland fire fuels. In: Mountains of data, peak decisions [electronic resource] : ASPRS Annual Conference, Denver, Colorado, May 23-28, 2004. [Bethesda, MD]: American Society of Photogrammetry and Remote Sensing; [St. Louis, MO]: Mira Digital Pub. CD-ROM.
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. An empirical model, based upon field data and spectral information from an ASTER image, was 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.
Keywords: ASTER, satellite imagery, gradient modeling, mapping, wildland fire fuels
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Title: RMRS Other
Publications: Evaluating ASTER satellite imagery and gradient
modeling for mapping and characterizing wildland fire fuels
Electronic Publish Date: August 16, 2007
Last Update: August 16, 2007
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