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USDA Forest Service - Region 5 and Pacific Southwest Research Station (PSW): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. |
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In California, and for prescribed fires, the PFIRS system requires emission estimates alongside fuels (biomass) estimates. PFIRS emission estimates directly inform the modeled results that are disseminated by the smoke spotter app (and in the PFIRS system). The F3 model-based emissions could be a more locally precise alternative for the standard Landfire/FCCS based emissions for Rx fire projects currently implemented in PFIRS. Reporting units are not on a per acre, but a per pixel basis, so that zonal summaries for the area of interest can quickly total up the possible emissions, and compare them to wildfire emissions.----------------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, with -1 representing high values, and 1 representing low values. This interpretation reflects concerns for poor air quality affecting human health and recreation opportunities, with lower emissions considered more favorable.----------------- Unit Of Measure: Short tons PM2.5 |