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Keyword: canopy fuels

Assessing crown fire potential by linking models of surface and crown fire behavior

Publications Posted on: May 12, 2016
Fire managers are increasingly concerned about the threat of crown fires, yet only now are quantitative methods for assessing crown fire hazard being developed. Links among existing mathematical models of fire behavior are used to develop two indices of crown fire hazard-the Torching Index and Crowning Index.

How to measure, describe, and map wildland fuels

Science Spotlights Posted on: September 30, 2015
Researchers with the Rocky Mountain Research Station investigated a number of fuel characteristics across major surface and canopy fuel components that comprise northern Rocky Mountain forest and range fuelbeds. They found that most fuel components have high variability that increases with fuel particle size.

Estimating canopy fuels in conifer forests

Publications Posted on: November 26, 2007
Crown fires occur in a variety of coniferous forest types (Agee 1993), including some that are not historically prone to crown fire, such as ponderosa pine (Mutch and others 1993). The head fire spread rate of a crown fire is usually several times faster than that of a surface fire burning under the same conditions, which leads to a significant increase in the number of acres burned during a given period.

Modification of VanWagner's canopy fire propagation model

Publications Posted on: September 18, 2007
The conditions necessary for the combustion of canopy fuels are not well known but are assumed to be highly influenced by the volume through which the canopy fuels are dispersed, known as canopy bulk density (CBD). Propagating crown fire is defined as a continuous wall of flame from the bottom to the top of the canopy, implying crown fire propagation is actually independent of the vertical fuel distribution.

Accuracy and precision of two indirect methods for estimating canopy fuels

Publications Posted on: February 02, 2007
We compared the accuracy and precision of digital hemispherical photography and the LI-COR LAI-2000 plant canopy analyzer as predictors of canopy fuels. We collected data on 12 plots in western Montana under a variety of lighting and sky conditions, and used a variety of processing methods to compute estimates.