Parent Layer: Functional

Name: Probability High fire severity normalized

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Description: These metrics represent the probability of low, moderate, or high severity fire, respectively, as constructed by Pyrologix LLC. Operational-control probability rasters indicate the probability that the headfire flame length in each pixel will exceed a defined threshold for certain types of operational controls, manual and mechanical.--------Low severity fire represents fire with flame lengths of less than 4 feet and can be controlled using manual control treatments. Moderate severity fire represents fire with flame lengths between 4 and 8 feet and can be controlled using mechanical control treatments. High severity fire represents fire with flame lengths exceeding 8 feet and are generally considered beyond mechanical control thresholds.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on nearly the full range of actual values, with the most extreme values truncated at the 1st and 99th percentile to reduce the influence of outliers on the expressed range of normalized values.--------For the high severity layer, -1 represents high values and 1 represents low values. This interpretation reflects concerns about high severity fire, with lower probabilities considered more favorable.--------For the low severity layer, 1 represents high values and -1 represents low values. This interpretation reflects desire for low severity fire, with higher probabilities considered more favorable.--------No normalized rescaling was performed for the moderate severity layer.----------------- Unit Of Measure: Probability, 0 to 1

Copyright Text: Pyrologix, LLC: Primary data contact: James Newman (California State BLM Office) jnewman@blm.gov. This 2022 dataset is an update produced by Pyrologix (pyrologix.com) for the Bureau of Land Management (BLM) California State Office. The original 2020 dataset was developed by Pyrologix for the USFS Pacific Southwest Region. Scott, Joe H.; Thompson, Matthew P.; Calkin, David E. 2013. A wildfire risk assessment framework for land and resource management. Gen. Tech. Rep. RMRS-GTR-315. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 83 p

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