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Service Description: This dataset is the Flame Length Exceedance Probability - 4 foot (FLEP4) raster for California. It is part of the Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States. The values of FLEP4 represent the probability of having flame lengths greater than 4 feet if a fire occurs. FLEP4 indicates the potential for moderate to high wildfire intensity. Because 4 feet is considered the limit of manual fire control, FLEP4 represents the likelihood that fire intensity will be beyond the ability of hand crews to control. Vegetation and wildland fuels data from LANDFIRE 2014 (version 1.4.0) form the foundation for the Wildfire Risk to Communities data. As such, the data presented here reflect landscape conditions as of the end of 2014. National wildfire hazard datasets of annual burn probability and fire intensity were generated from the LANDFIRE 2014 data by the USDA Forest Service, Rocky Mountain Research Station (Short et al. 2020) using the large fire simulation system (FSim). These national datasets produced with FSim have a relatively coarse cell size of 270 meters (m). To bring these datasets down to a finer resolution more useful for assessing hazard and risk to communities, we upsampled them to the native 30 m resolution of the LANDFIRE fuel and vegetation data. In this upsampling process, we also spread values of modeled burn probability and intensity into developed areas represented in LANDFIRE fuels data as non-burnable. Additional methodology documentation is provided with the data publication download.
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Description: This dataset is the Flame Length Exceedance Probability - 4 foot (FLEP4) raster for California. It is part of the Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States. The values of FLEP4 represent the probability of having flame lengths greater than 4 feet if a fire occurs. FLEP4 indicates the potential for moderate to high wildfire intensity. Because 4 feet is considered the limit of manual fire control, FLEP4 represents the likelihood that fire intensity will be beyond the ability of hand crews to control. Vegetation and wildland fuels data from LANDFIRE 2014 (version 1.4.0) form the foundation for the Wildfire Risk to Communities data. As such, the data presented here reflect landscape conditions as of the end of 2014. National wildfire hazard datasets of annual burn probability and fire intensity were generated from the LANDFIRE 2014 data by the USDA Forest Service, Rocky Mountain Research Station (Short et al. 2020) using the large fire simulation system (FSim). These national datasets produced with FSim have a relatively coarse cell size of 270 meters (m). To bring these datasets down to a finer resolution more useful for assessing hazard and risk to communities, we upsampled them to the native 30 m resolution of the LANDFIRE fuel and vegetation data. In this upsampling process, we also spread values of modeled burn probability and intensity into developed areas represented in LANDFIRE fuels data as non-burnable. Additional methodology documentation is provided with the data publication download.
Service Item Id: d154c1582faf4a8ebe4703534a44f02e
Copyright Text: Funding for this project provided by USDA Forest Service, Fire and Aviation Management. Funding also provided by USDA Forest Service, Fire Modeling Institute, which is part of the Rocky Mountain Research Station, Fire, Fuel and Smoke Science Program. Work on dataset development was primarily completed by Pyrologix, LLC under contract with the USDA Forest Service, Fire Modeling Institute.
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102113
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Spatial Reference: 102113
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Title: C:\Users\SG\Documents\ArcGIS\Projects\PC393 Valley Water\PC393 Valley Water.aprx
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Keywords: society,environment,Environment and People,Fire ecology,fire likelihood,structure,Fire effects on environment,Fire,fire suppression,Fire suppression,pre-suppression,conterminous United States,United States,Forest management,fire planning,risk assessment,wildfire hazard potential,fuels management,Ecology,Ecosystems,& Environment,Prescribed fire,Fire detection,CONUS,burn probability,Landscape management,hazard,geoscientificInformation,California
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