fuelMoisture

Moisture scenarios are a set of fuel moistures of surface fuels, on a dry-weight basis, for each of the surface fuel classes. Adapted from Scott &amp; Burgan (2005), this dataset includes fuel moistures of litter.

datasets

Fire behavior prediction models, including the Scott & Reinhardt's (2001) Rothermel Wildland Fire Modelling System <DOI:10.2737/RMRS-RP-29> and Alexander et al.'s (2006) Crown Fire Initiation & Spread model <DOI:10.1016/j.foreco.2006.08.174>. Also contains sample datasets, estimation of fire behavior prediction model inputs (e.g., fuel moisture, canopy characteristics, wind adjustment factor), results visualization, and methods to estimate fire weather hazard.

Justin Ziegler

firebehavioR

Prediction of Wildland Fire Behavior and Hazard

fuelMoisture function

A data frame with 16 observations of 7 variables:<dl class="dl-horizontal">
 <dt>fmLitter</dt><dd>moisture of litter (%)</dd>
 <dt>fm1hr</dt><dd>moisture of 1-hr fuel (%)</dd>
 <dt>fm10hr</dt><dd>moisture of 10-hr fuel (%)</dd>
 <dt>fm100hr</dt><dd>moisture of 100-hr fuel (%)</dd>
 <dt>fmLiveHerb</dt><dd>moisture of herbaceous fuel (%)</dd>
 <dt>fmLiveWoody</dt><dd>moisture of woody fuel (%)</dd>
 <dt>description</dt><dd>scenario description</dd>
</dl>

Format

Modified Scott &amp; Burgan (2005) moisture scenarios. — fuelMoisture

A data frame with 16 observations of 7 variables:<dl class='dl-horizontal'>
 <dt>fmLitter</dt><dd>moisture of litter (%)</dd>
 <dt>fm1hr</dt><dd>moisture of 1-hr fuel (%)</dd>
 <dt>fm10hr</dt><dd>moisture of 10-hr fuel (%)</dd>
 <dt>fm100hr</dt><dd>moisture of 100-hr fuel (%)</dd>
 <dt>fmLiveHerb</dt><dd>moisture of herbaceous fuel (%)</dd>
 <dt>fmLiveWoody</dt><dd>moisture of woody fuel (%)</dd>
 <dt>description</dt><dd>scenario description</dd>
</dl>

fuelMoisture: Modified Scott & Burgan (2005) moisture scenarios.

Description

Usage

Arguments

Format

See Also