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Evaluating ASTER satellite imagery and gradient modeling for mapping and characterizing wildland fire fuelsAuthor(s): Michael J. Falkowski; Paul Gessler; Penelope Morgan; Alistair M. S. Smith; Andrew T. Hudak
Source: In: Greer, Jerry Dean, ed. Remote sensing for field users; proceedings of the tenth Forest Service remote sensing applications conference; 2004 April 59; Salt Lake City, UT. Bethesda, MD: American Society of Photogrammetry and Remote Sensing. CD-ROM.
Publication Series: Paper (invited, offered, keynote)
Station: Rocky Mountain Research Station
PDF: Download Publication (235.91 KB)
DescriptionLand 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.
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CitationFalkowski, 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: Greer, Jerry Dean, ed. Remote sensing for field users; proceedings of the tenth Forest Service remote sensing applications conference; 2004 April 59; Salt Lake City, UT. Bethesda, MD: American Society of Photogrammetry and Remote Sensing. CD-ROM.
KeywordsASTER, satellite imagery, gradient modeling, mapping, wildland fire fuels
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