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The data layers included in this Northern California Regional Resource Kit were assembled/developed by a partnership that includes the Pacific Southwest Research Station of the U.S. Forest Service, the Fire and Resource Assessment Program (FRAP) of C |
| summary:
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The data layers included in this Northern California Regional Resource Kit were assembled/developed by a partnership that includes the Pacific Southwest Research Station of the U.S. Forest Service, the Fire and Resource Assessment Program (FRAP) of C |
| extent:
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[[-124.509083385913,37.9854814256264],[-121.176299060205,42.109833558985]] |
| accessInformation:
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LANDFIRE FCCS ([LANDFIRE Program: Data Products – Fuel – Fuel Characteristic Classification System Fuelbeds](https://www.landfire.gov/fccs.php)) 2022 Rocky Mountain Research Station https://www.firelab.org/project/fofem-fire- effects-model |
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thumbnail/thumbnail.png |
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1.7976931348623157E308 |
| typeKeywords:
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["ArcGIS","ArcGIS Server","Data","Map Service","Service"] |
| description:
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- Metric Name: Potential Total Smoke Production Index - Tier: 1
- Data Vintage: 2022
- Unit Of Measure: 0 - 1, a unitless number serving as an index; on a per 30-m pixel basis
- Metric Definition and Relevance: This metric is an index of the potential smoke production (represented by particulate matter that is 2.5 microns or less in diameter, or PM2.5) that could be emitted for a given 30-meter pixel under fire weather conditions that produce high severity fire effects. By showing spatial variation in potential smoke emissions under standardized fuel moisture conditions, this index is intended to help identify potential emissions hotpots within a region if a high severity wildfire occurs in the future. It may be useful for regional scale planning and/or prioritization.
However, the actual moistures and fire weather conditions under which these fuels may convert to smoke will vary; therefore, the map does not represent actual smoke production (PM2.5 emissions) during an actual fire event. For data users interested in near-term smoke forecasts that reflect the environmental drivers of emissions, project-specific modeling tools are recommended. For example, the BlueSky Playground (https://tools.airfire.org/playground) can tailor model inputs based on the fuel and moisture conditions observed or planned for in the project area of interest. Potential smore emissions do not consider the probability of a fire or the transport of smoke to more distant locations; they only reflect what would happen locally if a pixel were to burn. - Creation Method: Potential TOTAL smoke production index is the smoke production expected for a given pixel under severe fire weather conditions. It is based on model outputs from the First Order Fire Effects Model (FOFEM) developed by the U.S. Forest Service (Spatial FOFEM: https://www.firelab.org/project/fofem-fire-effects-model). Key drivers (and model inputs) for this mapped variation are (1) fuel loads spatially extracted from the Landfire FCCS modeled fuelbeds map (LANDFIRE 2022 Update (LF 2.3.0), https://www.landfire.gov/lf_230.php), and (2) fuel moistures, which are assigned to approximate the extremely dry conditions under which high severity fire generally occurs. The data are dimensionless and linearly normalized from 0 to 1 based on the statewide maximum value, with 1 being the maximum PM2.5 emissions per 30-m pixel for the given region. Fuels are taken from LANDFIRE LF2022_FCCS_220. Spatial FOFEM was run as implemented in FlamMap 6.2 (https://www.firelab.org/project/flammap).
This index is a unitless number (ranging between 0 and 1) on a per 30-meter pixel basis, which is calculated using the following equation:
Potential Total Smoke Production Index = Si / (maximum Si statewide )
where
Si = high severity PM2.5 emissions value for pixel i
Calculated with SpatialFOFEM (First Order Fire Effects Model), embedded in FlamMap 6.2. Fuels are LCP and FCCS 2022 from LANDFIRE (LCP_LF2022_FBFM40_220_CONUS and LF2022_FCCS_220_CONUS). FOFEM Parameters used for this application are:
Seasonality - (Summer)
Canopy consumption – 39%
Duff moisture – 20%
1 hour fuel moisture – 4%
10-hour fuel moisture – 6%
100-hour fuel moisture – 8%
1000-hour fuel moisture – 8% |
| licenseInfo:
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Appropriate use includes regional to statewide assessments of vegetation cover, land cover, or land use change trends, total extent of vegetation cover, land cover, or land use change, and aggregated summaries of vegetation cover, land cover, or land use change. Further use includes applying these data to assess management opportunities for treatments to restore landscape resiliency. The authors make 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. For all data layers you are free to share, copy, and redistribute the material in any medium or format AND adapt, remix, transform, and build upon the material for any purpose, even commercially under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. No commercial use – the user is responsible for acknowledging those data layers within this RRK (as determined by the source of the data) that are not permitted for commercial use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything this license permits. |
| catalogPath:
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| title:
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Potential Total Smoke Production Index |
| type:
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Map Service |
| url:
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|
| tags:
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["environment"," geoscientific Information"," planning Cadastre"," land management"," landscape restoration"] |
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en-US |
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| name:
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Potential_Total_Smoke_Production_Index |
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E30307D4-D48E-47FA-97CB-AF2D15571AB5 |
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0 |
| spatialReference:
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NAD_1983_California_Teale_Albers |