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snippet: This dataset, developed by the California Air Resources Board (CARB), provides spatially explicit, daily estimates wildfire activity, vegetation consumption, and wildfire emissions for all wildfires contained in the CAL FIRE historical fire perimeter dataset from 2015 onward. It includes daily or final fire perimeters and associated emissions data derived from satellite observations (VIIRS), CAL FIRE perimeters, LANDFIRE fuelbeds, and gridMET fuel moisture. Emissions are estimated using the FOFEM model and include pollutants, separated by flaming and smoldering phases. The dataset covers only wildland vegetation and excludes developed and agricultural areas. Fires with multi-day activity are mapped using daily VIIRS-derived perimeters (FEDS), while short-duration fires use final CAL FIRE perimeters. Emissions from FEDS perimeters are scaled to match CAL FIRE fire sizes for consistency. Limitations and Assumptions: 1.) Emissions are modeled, not directly measured. 2.) Fuelbeds and moisture inputs are derived from national datasets and may not reflect local variability. 3.) Smoldering emissions are temporally allocated using satellite fire radiative power, which may not capture all activity after the flaming front. 4.) Wildfire activity for multiday fires is derived from VIIRS (375 m), which is imprecise.
summary: This dataset, developed by the California Air Resources Board (CARB), provides spatially explicit, daily estimates wildfire activity, vegetation consumption, and wildfire emissions for all wildfires contained in the CAL FIRE historical fire perimeter dataset from 2015 onward. It includes daily or final fire perimeters and associated emissions data derived from satellite observations (VIIRS), CAL FIRE perimeters, LANDFIRE fuelbeds, and gridMET fuel moisture. Emissions are estimated using the FOFEM model and include pollutants, separated by flaming and smoldering phases. The dataset covers only wildland vegetation and excludes developed and agricultural areas. Fires with multi-day activity are mapped using daily VIIRS-derived perimeters (FEDS), while short-duration fires use final CAL FIRE perimeters. Emissions from FEDS perimeters are scaled to match CAL FIRE fire sizes for consistency. Limitations and Assumptions: 1.) Emissions are modeled, not directly measured. 2.) Fuelbeds and moisture inputs are derived from national datasets and may not reflect local variability. 3.) Smoldering emissions are temporally allocated using satellite fire radiative power, which may not capture all activity after the flaming front. 4.) Wildfire activity for multiday fires is derived from VIIRS (375 m), which is imprecise.
extent: [[-124.217599020275,32.5461358261346],[-114.136400298444,42.1135902991242]]
accessInformation:
thumbnail: thumbnail/thumbnail.png
maxScale: 1.7976931348623157E+308
typeKeywords: ["ArcGIS","ArcGIS Server","Data","Feature Access","Feature Service","providerSDS","Service"]
description: <table style='border-collapse:collapse;' width='651' cellpadding='0' cellspacing='0' border='0'><tbody><tr style='height:130.5pt;' height='174'><td style='height:130.5pt;width:488pt;' height='174' width='651'>This dataset was created by the California Air Resources Board (CARB) to improve the accuracy and temporal resolution of wildfire emissions inventories in California. It supports regulatory, scientific, and public health applications by providing daily estimates of vegetation consumption and pollutant emissions from wildfires. The dataset addresses the need for more precise emissions data to support air quality planning, State Implementation Plans, and exceptional event demonstrations, where linking wildfire activity to air quality exceedances is critical.<br /><br />Disclaimer: This dataset is intended for air quality planning and management purposes only. It is not an operational product and should not be used as an official record of wildfire activity.</td></tr></tbody></table>
licenseInfo: <p style='text-align:left; margin-left:0.5in;'><span style='font-size:11.0pt; color:black;'>This geo-database includes two data layers with identical information. The layer with “Oct 2025” in the layer name (color yellow) has the data fields arranged in alphabetical order. The other layer (color green) has the same data fields arranged by categorical grouping: basic information about the fire (e.g., fire ID, start date, and end date), followed by air pollutant emissions and fuel consumption. User may choose to work with either layer.</span></p> <p style='text-align:left; margin-left:0.5in;'><b><span style='font-size:11.0pt; color:black;'>IMPORTANT INFO ABOUT THIS GEO-DATASET:</span></b><span style='font-size:11.0pt; color:black;'> The numbers in this geo-database are raw outputs from the </span><span style='font-size:11.0pt; color:#215F9A;'><a href='&amp'><span style='color:#215F9A;'>First Order Fire Effects Model (FOFEM)</span></a></span><span style='font-size:11.0pt; color:black;'>. Because FOFEM ingests input data as provided, and there is not a mechanism in the algorithm for handling uncertainties inherent in those inputs, uncertainties can carry through to the model outputs. As a result, the number of decimal places in these raw model outputs has an apparent precision that overstates the level of precision that the data can support. For example, fuel loading data can have an order of magnitude uncertainty (e.g., if the fuel loading value is 10, the true value could be somewhere between 1 and 100), and emission factors can have a factor-of-two uncertainty (e.g., if the emissions per tons of fuel is 10, the true value may be between 0.5 and 20). When these two sources of uncertainty are combined, the uncertainty of the final emission modeling results would be large (e.g., if the emission modeling result is 10, the true value could be between 0.5 (1x0.5) and 2000 (100x20)). For these reasons, users should summarize the results at the integer-ton level. If there is a desire to display numbers at the integer-pound level, users should exercise discretion and recognize that the apparent precision of integer-pound value does not reflect the underlying uncertainty.</span></p> <p style='text-align:left; margin-left:0.5in;'><span style='font-size:11.0pt; color:black;'>For questions about this dataset, please contact <a href='mailto:FireInventory@arb.ca.gov'>FireInventory@arb.ca.gov</a>.</span></p>
catalogPath:
title: CA wildfire emissions
type: Feature Service
url:
tags: ["California","wildfire","emissions","vegetation","fire","CARB","inventory","California Air Resources Board"]
culture: en-US
portalUrl:
name: CA_wildfire_emissions
guid: B2F9E568-A43B-4462-971E-672F9E504097
minScale: 0
spatialReference: WGS_1984_Web_Mercator_Auxiliary_Sphere