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LANDFIRE - 40 Scott and Burgan Fire Behavior Fuel Models (LANDFIRE.US_130FBFM40)

Dates

Publication Date
Start Date
2000-01-01
End Date
2001-01-01

Citation

Wildland Fire Science, Earth Resources Observation and Science Center, U.S. Geological Survey, 20130331, LANDFIRE.US_130FBFM40: Wildland Fire Science, Earth Resources Observation and Science Center, U.S. Geological Survey: Sioux Falls, SD, http://landfire.cr.usgs.gov/viewer/, http://www.landfire.gov.

Summary

The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: These fire behavior fuel models represent distinct distributions of fuel loadings found among surface fuel components (live and dead), size classes and fuel types. The fuel models are described by the most common fire carrying [...]

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CONUS_fbfm40_c12.jpg thumbnail 16.19 MB image/jpeg

Material Request Instructions

The USGS point of contact is for questions relating only to the data display and download from this web site. For questions regarding data content and quality, refer to the original metadata document

Purpose

LANDFIRE data products are designed to facilitate national- and regional-level strategic planning and reporting of management activities. Data products are created at a 30-meter grid spatial resolution raster data set; however, the applicability of data products varies by location and specific use. Principal purposes of the data products include providing, 1) national-level, landscape-scale geospatial products to support fire and fuels management planning, and, 2) consistent fuels data to support fire planning, analysis, and budgeting to evaluate fire management alternatives. Users are advised to evaluate the data carefully for their applications.

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