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Raster Dataset
The purpose of the Southern Wildfire Risk Assessment (SWRA) is to provide foundational information about wildfire hazard across all land ownership in the United States Forest Service Southern Region (Region 8). Such information supports fuel management planning decisions, as well as revisions to land and resource management plans. A wildfire risk assessment is a quantitative analysis of potential impacts by wildfire.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This spatial dataset was produced with the Wildfire Exposure Simulation Tool (WildEST), a cloud-based geospatial fire behavior characteristic simulation system. WildEST performs multiple deterministic simulations under a range of weather types (wind speed, wind direction, fuel moisture content) and weights those results based on weather type probabilities (WTP).</SPAN></P>
<b>This dataset represents the probability of heading flame lengths exceeding 4 feet, which is generally considered the threshold for exceeding the possibility of manual control during fire operations. Probability is calculated using heading-only fire behavior and is weighted according to WTP, incorporating both temporal frequencies and the influence of high-spread conditions. </b></DIV></DIV></DIV>
Primary data contact: The Southern Wildfire Risk Assessment (www.SouthernWildfireRisk.com) is sponsored by the Southern Group of State Foresters (https://southernforests.org) and managed by Texas A&M Forest Service. Send an email to SouthWRAP-Support@tfs.tamu.edu for inquiries.
This dataset was developed for the Southern Wildfire Risk Assessment by Pyrologix LLC (www.pyrologix.com), a subsidiary of Vibrant Planet (www.vibrantplanet.net).
WildEST
Wildfire Exposure Simulation Tool
SWRA
Southern Wildfire Risk Assessment
SouthWRAP
Southern Wildfire Risk Assessment Portal
SGSF
Southern Group of State Foresters
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The user must be aware of data conditions and must ultimately bear responsibility for the appropriate use of the information with respect to possible errors, possible omissions, map scale, data collection methodology, data currency, and other conditions specific to certain data.</SPAN></P></DIV></DIV></DIV>
2024-04-30T00:00:00
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