Wildland Fire Emissions Inventory System v2.2022.08

mtri.org
For Consume's fuel moisture inputs, WFEIS uses modeled values based on a burned area's day and location. A single fuel moisture is assigned for each burned area. When using the calculator, leave moisture scenario on 'auto' to use these default values, or assign static moistures to the entire scenario.

Modeling details:
Data sources for modeled fuel moisture:
Source Date range Description

The fuelbed system determines the fuel loadings used in the Consume emissions calculations.

By default, WFEIS uses FCCS fuelbeds, which are designed to interface with the Consume emissions model, but users can choose to use NAWFD fuelbeds instead. Using NAWFD enables the quantification of error attributed to variability in fuel loadings in emissions estimations; note that some of NAWFD's LANDFIRE Existing Vegetation Type group fuelbeds are missing data, specifically several prominent managed fuelbeds: Managed Tree Plantation, Modified-Managed Prairie Grassland.

In general NAWFD median loadings are most similar to FCCS loadings while NAWFD mean loadings tend to skew higher than FCCS.
NAWFD stochastic loadings are drawn randomly from probability distributions and so will vary for every model run, but in general they will be most similar to NAWFD mean loadings.

The GlobalFCCS fuels map is used by default for any calculator queries made outside of North America. Using GlobalFCCS produces emissions estimates that are on average 36% lower in the United States in comparison to FCCS, but 58% higher in Canada in comparison to the FCCS fuelbeds assigned to the FBP fuels map (see below).
System Description

Mapping fuelbeds from basemaps

WFEIS uses lookup tables to translate from a basemap pixel value to fuelbed.

US

For the US, both the FCCS and NAWFD fuelbed systems use the LANDFIRE (LF) Existing Vegetation Type (EVT) basemap. Different LANDFIRE versions represent ground conditions in years 2001, 2008, 2010, 2014, 2016 (REMAP), and 2020. In WFEIS, burned areas are intersected with the most recently available LF version for the burned date. e.g. all burned areas occurring <2008 use the LF 2001 basemap; burned areas 2008-2009 use the LF 2008 basemap; burned areas 2010-2011 use the LF 2010 basemap; etc.

Canada

For Canada, WFEIS uses the Fuel Behavior Prediciton (FBP) Fuel Type map. Each FBP type is assigned to an FCCS fuelbed to get fuel loading data.

Global

For global queries, WFEIS uses the Global FCCS map developed by Pettinari and Chuvieco (2016). Because this is a global dataset, it is coarser resolution both spatially (250m vs 30m for LANDFIRE EVT) and in terms of fuelbed definition: whereas the US-based FCCS fuelbeds are often defined by predominant vegetation species (e.g. “Western juniper / sagebrush savannah”), the global FCCS fuelbeds are more broadly defined by ecotype and general vegetation type (e.g. “boreal forest/taiga needleleaf evergreen trees”).
The burned area source determines the timing, location, and extent of the fire(s) used in the analysis:

* timing determines fuel moisture inputs and the basemap year;
* location determines fuel loading inputs; and
* extent determines area input for emissions calculations.

Quantitative comparison of burned area products.

When using the calculator, users can select User submission to draw/upload their own burned area boundaries.
Name Date range Spatial domain IDs? Description
MODIS MCD64A1 Burned Area (v6.1) Nov 01, 2000 - Aug 31, 2024 US, Canada, Global The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500-m product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500-m Moderate Resolution Imaging Spectroradiometer (MODIS) Surface Reflectance imagery coupled with 1-km MODIS Active Fire (MCD14ML) observations. MCD64A1 is higher resolution and more quality controlled than MCD14ML, which is focused on rapid real-time information.
integrated Wildfire Event Database (iWED) Jan 01, 1992 - Dec 29, 2021 US integrated Wildfire Event Database (iWED), daily progression using MODIS/VIIRS active fire interpolation
WFIGS perimeters, current Feb 20, 2024 - Nov 13, 2024 US ✓ The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. This source represents NIFC's "WFIGS - Current Wildland Fire Perimeters" dataset only and is updated daily. For a full archive of perimeters, see "WFIGS perimeters, archive" data source
More info...
WFIGS perimeters, archive Jan 01, 1950 - Nov 20, 2024 US ✓ The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. This source represents the "WFIGS - Wildland Fire Perimeters Full History" dataset in addition to the year-to-date perimeters dataset. For "current" perimeters, see "WFIGS perimeters, current" data source
More info...
MTBS perimeters Jan 26, 1984 - Aug 16, 2024 US ✓ Monitoring trends in burn severity (MTBS) is a multi-agency program designed to consistently map the burn severity and perimeters of fires across all lands of the United States from 1984-present. MTBS perimeters are delineated using 30-m Landsat data. The start date is used as the day of burn for each perimeter.
More info...
NIFS/GeoMAC perimeters Jan 01, 2000 - Jan 06, 2021 US ✓ The National Incident Feature Service (NIFS) is an interagency wildland fire community effort taking over the original GeoMAC tool. In WFEIS, the pre-2019 perimeters are aggregated from all available GeoMAC perimeters for a given fire w/ the date representing the earliest perimeter date available. 2019 and later perimeters use NIFS Current Perimeters data.
More info...
ABoVE Wildfire Date Of Burning Jan 01, 2001 - Nov 27, 2019 US (AK only), Canada ✓ This dataset provides estimates of wildfire progression, as represented by date of burning (DoB), within fire scars across Alaska and Canada for the period 2001-2019. The estimated DoB was derived using an algorithm for identifying the first fire occurrence from the MODIS Active Fire detection product (MCD14ML, Collection 6) and to determine all dates of burning within perimeters from the Alaskan Interagency Coordination Center (AICC) and the Natural Resources Canada (NRC) databases.
More info...
Canada National Fire Database Jan 01, 1950 - Dec 06, 2020 Canada ✓ The Canadian National Fire Database (CNFDB) is a collection of forest fire data from various sources; in WFEIS these data include fire perimeters (polygon data) as provided by Canadian fire management agencies (provinces, territories, and Parks Canada). Fires of all sizes are included in the database. Note that the data contained in the CNFDB are not complete nor are they without error. Not all fires have been mapped, and data accuracy varies due to different mapping techniques.
More info...
CAL FIRE FRAP perimeters Jan 01, 1950 - Nov 17, 2022 US (California only) ✓ This is a multi-agency statewide database of fire history. For CAL FIRE, timber fires 10 acres or greater, brush fires 30 acres and greater, and grass fires 300 acres or greater are included. For the USFS, there is a 10 acre minimum for fires since 1950. This dataset contains wildfire history, prescribed burns and other fuel modification projects.
More info...
SmartFire2 NEI Dec 31, 2010 - Dec 31, 2011 US SmartFire2 is a framework for producing fire activity data that allows for merging of multiple data sources into a reconciled set of fire information. This dataset was produced for the EPA's 2011 National Emissions Inventory (NEI).
More info...
Landsat BAECV Jan 01, 2005 - Oct 18, 2015 US (CONUS only) The USGS has developed and implemented an algorithm that identifies burned areas in dense time series of Landsat image stacks to produce the Burned Area Essential Climate Variable products. The algorithm makes use of predictors derived from individual Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. WFEIS uses the burn date product that represents the first date of burning for each pixel and year, vectorized from the yearly 30m grids.
More info...
User submission Apr 16, 2010 - Oct 08, 2024 None ✓ Users can submit their own vector data (shapefile, wkt, geojson) by drawing on the map, uploading a shapefile (.shp), or submitting WKT or GeoJSON text. A unique burn ID is generated for each submission that can be re-used as needed.
NASA CCS Boreal Fire Jan 01, 1986 - Dec 06, 2020 US (AK only), Canada, Global Global dataset of boreal fire generated under NASA CCS grant #...
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For Consume's fuel moisture inputs, WFEIS uses modeled values based on a burned area's day and location. A single fuel moisture is assigned for each burned area. When using the calculator, leave moisture scenario on 'auto' to use these default values, or assign static moistures to the entire scenario.

Modeling details:
Data sources for modeled fuel moisture:
Source Date range Description

The fuelbed system determines the fuel loadings used in the Consume emissions calculations.

By default, WFEIS uses FCCS fuelbeds, which are designed to interface with the Consume emissions model, but users can choose to use NAWFD fuelbeds instead. Using NAWFD enables the quantification of error attributed to variability in fuel loadings in emissions estimations; note that some of NAWFD's LANDFIRE Existing Vegetation Type group fuelbeds are missing data, specifically several prominent managed fuelbeds: Managed Tree Plantation, Modified-Managed Prairie Grassland.

In general NAWFD median loadings are most similar to FCCS loadings while NAWFD mean loadings tend to skew higher than FCCS.
NAWFD stochastic loadings are drawn randomly from probability distributions and so will vary for every model run, but in general they will be most similar to NAWFD mean loadings.

The GlobalFCCS fuels map is used by default for any calculator queries made outside of North America. Using GlobalFCCS produces emissions estimates that are on average 36% lower in the United States in comparison to FCCS, but 58% higher in Canada in comparison to the FCCS fuelbeds assigned to the FBP fuels map (see below).
System Description

Mapping fuelbeds from basemaps

WFEIS uses lookup tables to translate from a basemap pixel value to fuelbed.

US

For the US, both the FCCS and NAWFD fuelbed systems use the LANDFIRE (LF) Existing Vegetation Type (EVT) basemap. Different LANDFIRE versions represent ground conditions in years 2001, 2008, 2010, 2014, 2016 (REMAP), and 2020. In WFEIS, burned areas are intersected with the most recently available LF version for the burned date. e.g. all burned areas occurring <2008 use the LF 2001 basemap; burned areas 2008-2009 use the LF 2008 basemap; burned areas 2010-2011 use the LF 2010 basemap; etc.

Canada

For Canada, WFEIS uses the Fuel Behavior Prediciton (FBP) Fuel Type map. Each FBP type is assigned to an FCCS fuelbed to get fuel loading data.

Global

For global queries, WFEIS uses the Global FCCS map developed by Pettinari and Chuvieco (2016). Because this is a global dataset, it is coarser resolution both spatially (250m vs 30m for LANDFIRE EVT) and in terms of fuelbed definition: whereas the US-based FCCS fuelbeds are often defined by predominant vegetation species (e.g. “Western juniper / sagebrush savannah”), the global FCCS fuelbeds are more broadly defined by ecotype and general vegetation type (e.g. “boreal forest/taiga needleleaf evergreen trees”).
The burned area source determines the timing, location, and extent of the fire(s) used in the analysis:

* timing determines fuel moisture inputs and the basemap year;
* location determines fuel loading inputs; and
* extent determines area input for emissions calculations.

Quantitative comparison of burned area products.

When using the calculator, users can select User submission to draw/upload their own burned area boundaries.
Name Date range Spatial domain IDs? Description
MODIS MCD64A1 Burned Area (v6.1) Nov 01, 2000 - Aug 31, 2024 US, Canada, Global The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500-m product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500-m Moderate Resolution Imaging Spectroradiometer (MODIS) Surface Reflectance imagery coupled with 1-km MODIS Active Fire (MCD14ML) observations. MCD64A1 is higher resolution and more quality controlled than MCD14ML, which is focused on rapid real-time information.
integrated Wildfire Event Database (iWED) Jan 01, 1992 - Dec 29, 2021 US integrated Wildfire Event Database (iWED), daily progression using MODIS/VIIRS active fire interpolation
WFIGS perimeters, current Feb 20, 2024 - Nov 13, 2024 US ✓ The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. This source represents NIFC's "WFIGS - Current Wildland Fire Perimeters" dataset only and is updated daily. For a full archive of perimeters, see "WFIGS perimeters, archive" data source
More info...
WFIGS perimeters, archive Jan 01, 1950 - Nov 20, 2024 US ✓ The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. This source represents the "WFIGS - Wildland Fire Perimeters Full History" dataset in addition to the year-to-date perimeters dataset. For "current" perimeters, see "WFIGS perimeters, current" data source
More info...
MTBS perimeters Jan 26, 1984 - Aug 16, 2024 US ✓ Monitoring trends in burn severity (MTBS) is a multi-agency program designed to consistently map the burn severity and perimeters of fires across all lands of the United States from 1984-present. MTBS perimeters are delineated using 30-m Landsat data. The start date is used as the day of burn for each perimeter.
More info...
NIFS/GeoMAC perimeters Jan 01, 2000 - Jan 06, 2021 US ✓ The National Incident Feature Service (NIFS) is an interagency wildland fire community effort taking over the original GeoMAC tool. In WFEIS, the pre-2019 perimeters are aggregated from all available GeoMAC perimeters for a given fire w/ the date representing the earliest perimeter date available. 2019 and later perimeters use NIFS Current Perimeters data.
More info...
ABoVE Wildfire Date Of Burning Jan 01, 2001 - Nov 27, 2019 US (AK only), Canada ✓ This dataset provides estimates of wildfire progression, as represented by date of burning (DoB), within fire scars across Alaska and Canada for the period 2001-2019. The estimated DoB was derived using an algorithm for identifying the first fire occurrence from the MODIS Active Fire detection product (MCD14ML, Collection 6) and to determine all dates of burning within perimeters from the Alaskan Interagency Coordination Center (AICC) and the Natural Resources Canada (NRC) databases.
More info...
Canada National Fire Database Jan 01, 1950 - Dec 06, 2020 Canada ✓ The Canadian National Fire Database (CNFDB) is a collection of forest fire data from various sources; in WFEIS these data include fire perimeters (polygon data) as provided by Canadian fire management agencies (provinces, territories, and Parks Canada). Fires of all sizes are included in the database. Note that the data contained in the CNFDB are not complete nor are they without error. Not all fires have been mapped, and data accuracy varies due to different mapping techniques.
More info...
CAL FIRE FRAP perimeters Jan 01, 1950 - Nov 17, 2022 US (California only) ✓ This is a multi-agency statewide database of fire history. For CAL FIRE, timber fires 10 acres or greater, brush fires 30 acres and greater, and grass fires 300 acres or greater are included. For the USFS, there is a 10 acre minimum for fires since 1950. This dataset contains wildfire history, prescribed burns and other fuel modification projects.
More info...
SmartFire2 NEI Dec 31, 2010 - Dec 31, 2011 US SmartFire2 is a framework for producing fire activity data that allows for merging of multiple data sources into a reconciled set of fire information. This dataset was produced for the EPA's 2011 National Emissions Inventory (NEI).
More info...
Landsat BAECV Jan 01, 2005 - Oct 18, 2015 US (CONUS only) The USGS has developed and implemented an algorithm that identifies burned areas in dense time series of Landsat image stacks to produce the Burned Area Essential Climate Variable products. The algorithm makes use of predictors derived from individual Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. WFEIS uses the burn date product that represents the first date of burning for each pixel and year, vectorized from the yearly 30m grids.
More info...
User submission Apr 16, 2010 - Oct 08, 2024 None ✓ Users can submit their own vector data (shapefile, wkt, geojson) by drawing on the map, uploading a shapefile (.shp), or submitting WKT or GeoJSON text. A unique burn ID is generated for each submission that can be re-used as needed.
NASA CCS Boreal Fire Jan 01, 1986 - Dec 06, 2020 US (AK only), Canada, Global Global dataset of boreal fire generated under NASA CCS grant #...
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Search by fire name, ID, or IRWIN ID: ** Burned area source(s):
**select at least one**






Area km2 minimum:
Date minimum:
Date maximum:
State/province filter:
Filter results:
--
fires
Click on a table row to load a fire to the calculator
Click column headers to sort (click 2x to reverse order)
Source Burn ID Burn name Date State/prov Area (km2)
CUSTOM FUELBED SET
Total burned area: 388 km2
Double-click on a cell to edit its value
FB sys. ID Name % Area (km2)
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Perimeter date determines "auto" fuel moisture values.
If you are using custom static fuel moistures in your emissons calculations, date is irrelevant; just use the default.
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Perimeter date determines "auto" fuel moisture values.
If you are using custom static fuel moistures in your emisssons calculations, date is irrelevant; just use the default.
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Search by fire name/ID OR use the filters below:
Burned area source -
through
Choose an option below to define burn perimeter(s):
DRAW
Upload SHP
GeoJSON/WKT
 Use ID
Choose a shape below; then hover over the map for instructions.

 Select your own ESRI shapefile representing burn perimeter data. Click to open a text box. Copy and paste the text for the chosen format into the text box. Use a previous submission by pasting its unique ID in the box below ↓
burn ID -
  search by ID/name
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End:
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Taking too long? There are pre-calculated emissions statistics* for the selected filters, or wait for results below.
* pre-calculated statistics use the FCCS fuelbed system w/ modeled fuel moisture
Filter results:
--
burned areas (
--
km2) ** map preview is limited to 2000 features
Emissions calculation options -
Fuel moisture Moisture scenario:
1000-hr fuel moisture (%):
Duff fuel moisture (%):
Litter fuel moisture (%):
Canopy consumption (%):
Shrub blackened (%):
Fuel loadings Fuelbed system:
default
Choose an option for building a custom set of fuelbeds below:
New (empty)
 New (pre-loaded) Use ID
Build a new set of fuelbeds from scratch, one fuelbed at a time. Start with the fuelbeds for the selected burned area from an existing fuelbed system:



 Use a previously developed fuelbed set by pasting its unique ID in the box below ↓

Outputs
...calculating emissions...
output total per km2
+ expand/collapse full list
fuelbed distribution
JSON
GeoJSON
SHP
CSV
GeoTIFF