RMRS Science Application & Integration - USDA Forest Service Research
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Rocky Mountain Research Station

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Science Application & Integration


 The Science Application and Integration program priorities for LANDFIRE will focus on delivering and supporting nationally consistent LANDFIRE data products to land managers through continual innovation, improvement and application of new techniques and technologies.

LANDFIRE meets agency and partner needs for data to support large landscape fire management planning and prioritization, community and firefighter protection, effective resource allocation, and collaboration between agencies and the public. National data products developed by LANDFIRE by map zone have a recognized degree of accuracy and known errors and biases. Often locally developed products and analysis for NFS lands are viewed as being more accurate and useful in supporting planning and project analyses. Innovation and improvement of LANDFIRE processing methods can help reduce this differential. Because LANDFIRE provides “wall-to-wall” data products it provides a basis for coordinating land management planning and hazardous fuels treatments and priority setting across the
landscape. LANDFIRE has been extremely useful to Incident Management Teams in assessing fire behavior and conducting risk assessments to support strategic and tactical decisions over the past few years. Incident Commander’s have identified significant savings in incident suppression costs as a result of having LANDFIRE data available to their teams. Improving the utility of LANDFIRE products and support to incident management requires additional innovation and improvement in coordination with the Station’s science programs.

 

SA&I LANDFIRE Applications

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LANDFIRE data are being used at an increasing rate to support a variety of activities and analyses. During the 2007 fire season, LANDFIRE data were used on 188 fires to assist with suppression tactics. Others are using LANDFIRE data for non-fire and fuel related projects because it is one of very few data sets that apply to all land ownership for the entire United States. The following descriptions highlight some examples of LANDFIRE applications.


LANDFIRE procedures integrate relational databases, geo-referenced field plots, remote sensing, systems ecology, gradient modeling, predictive landscape modeling, vegetation disturbance dynamics, and peer-reviewed fire science to create a state-of-the-art scientific analysis of the U.S. landscape. LANDFIRE is creating spatial data layers that include: all layers required to run fire modeling applications such as FARSITE and FlamMap, Existing Vegetation Type, Canopy Height, Biophysical Setting, Environmental Site Potential, Fire Regime Condition Class, and fire effects layers.

 

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USDA Forest Service - Rocky Mountain Research Station
Last Modified:  Tuesday, 14 July 2009 at 18:32:10 EDT

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