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A Comparison of Multitemporal Airborne Laser Scanning Data and the Fuel Characteristics Classification System for Estimating Fuel Load and Consumption
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2022
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Source: Journal of Geophysical Research: Biogeosciences, 127(5)
[PDF-1.95 MB]
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Journal Title:Journal of Geophysical Research: Biogeosciences
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Description:Characterizing pre-fire fuel load and fuel consumption are critical for assessing fire behavior, fire effects, and smoke emissions. Two approaches for quantifying fuel load are airborne laser scanning (ALS) and the Fuel Characteristic Classification System (FCCS). The implementation of multitemporal ALS (i.e., the use of two or more ALS datasets across time at a given location) in conjunction with empirical models trained with field data can be used to measure fuel and estimate fuel consumption from a fire. FCCS, adapted for use in LANDFIRE (LF), provides 30 m resolution estimates of fuel load across the contiguous United States and can be used to estimate fuel consumption through software programs such as Fuel and Fire Tools (FFT). This
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Source:Journal of Geophysical Research: Biogeosciences, 127(5)
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DOI:
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ISSN:2169-8953;2169-8961;
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Rights Information:Other
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