Description: 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).This dataset is raster representing annual burn probability (BP) across the analysis area. BP is the probability that a specific geographic location will experience a wildland fire during a specified time period (1 year). Estimates of BP were generated with the large-wildfire simulation system, FSim. BP could be used in a wide range of planning applications where understanding the likelihood of wildfire occurrence is important. For example, the BP raster could be used to prioritize fuel treatments in areas where they would most likely be impacted by wildfire or in allocating protection resources to fire districts most likely to have large fire occurrences. Additional information on FSim can be found in the following reference: Finney, Mark A.; McHugh, Charles W.; Grenfell, Isaac C.; Riley, Karin L.; Short, Karen C. 2011. A simulation of probabilistic wildfire risk components for the continental United States. Stochastic Environmental Research and Risk Assessment. 25: 973-1000.
Copyright Text: 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).