Supplementing Existing BP & FIL Data with Crop BP &FIL

Supplementing Existing BP & FIL Data with Crop BP &FIL

• Background– Current BP & FIL grids not showing BP & FIL values

in areas designated NB3 by LANDFIRE– National Agricultural Statistics Service (NASS)

produces cropland data layer (CDL) for all CONUS http://nassgeodata.gmu.edu/CropScape

– Michigan Tech Research institute developed fuel loading by crop type as an input to their studies on wildfire emissions http://wfeis.mtri.org

http://nassgeodata.gmu.edu/CropScape

http://wfeis.mtri.org/

Supplementing Existing BP & FIL Data with Crop BP &FIL

• Background– We can use these crop fuel loading estimates to

estimate a fuel model for each crop type based on fine fuel loading estimate

– The resulting fuel model can then be used to estimate BP and FIL

– Final result is updated BP/FIL grids that incorporate agricultural lands that have been incorrectly classified NB3 by LANDFIRE

Supplementing Existing BP & FIL Data with Crop BP &FIL for DOI Lands

• Methods: Create Fuel Model Map of NB3 Areas– Extract areas classified as NB3 in LANDFIRE FBFM40 fuel

model layer


• Methods: Create Fuel Model Map of NB3 Areas– Determine Crop type in areas designated NB3


• Methods: Create Fuel Model Map of NB3 Areas– Assign Fuel Model to Crop Type based on fine fuel

loading figures described in CDL research (representative fuel models based on Scott & Burgan FBFM 40 fine fuel loading)

Yield (bu/A)

Bushel weight (lbs/bu)

Yield (lbs/A)

Moisture content (ratio)

Dry matter (ratio)

Grain dry matter yield

(lbs/A)

Residue: grain ratio

Residue dry matter yield (lbs DM/A)

Tons/A Fuel Load (Moisture Content)

Fuel Load (Dry

Matter)

Fuel Bed Depth(ft) Representative FM

To calculate crop residue yield, multiply crop grain yield (bu/A) and dry matter content (ratio) and residue:grain ratio.

Barley 70 48 3360 0.12 0.88 2957 1.5 4435 2.2 0.396 2.904 2 GR5Wheat 55 60 3300 0.12 0.88 2904 1.5 4356 2.2 0.396 2.904 3 GR7

Soybeans 40 60 2400 0.13 0.87 2088 1 2088 10.13 0.87

2GR2

Sorghum 90 56 5040 0.135 0.865 4360 1.5 6539 3.3 0.66825 4.28175 3 GR7Rye 50 56 2800 0.12 0.88 2464 1.5 3696 1.8 0.324 2.376 1.5 GR4Oats 60 32 1920 0.12 0.88 1690 1 1690 0.8 0.096 0.704 3 GR3Corn 130 56 7280 0.155 0.845 6152 1 6152 3.1 0.4805 2.6195 6 GR7


• Methods: Create Fuel Model Map of NB3 Areas– Fuel Models applied to NB3 Areas based on fine fuel loading and

substituted in for NB3 pixels


• Methods: Remove NB3 Areas From Burn Probability (BP) and Fire Intensity Level (FIL) Grids


• Methods: Extrapolate Burn Probability and Fire Intensity values based on smallest geographically significant area– Agriculture occurs in areas where the fuel model

classification is not geographically similar in non-agricultural areas• Example: GR7 Fuel model assigned to Wheat Crop Type which has

wide distribution across the US.


Example: GR7 Fuel model assigned to Wheat Crop Type which has wide geographic distribution across the US.


Example: GR7 Fuel model distribution in LANDFIRE FBFM40 layer. The distribution is limited to NE MT, ND, SD, NE, MN


• Methods: Extrapolate Burn Probability and Fire Intensity values based on smallest geographically significant area– In GR2 & GR3 fuel model datasets the geographic

distribution of the fuel model pixels was wide enough to use matching or geographically similar Fire Planning Units (FPU) as a geographic unit to summarize mean BP & FIL values

– In GR4, GR5, GR7 fuel model datasets the geographic distribution of the fuel model pixels was not wide enough to use FPU as a summary unit, so the mean national BP&FIL values for each fuel model was used.


• Methods: Assign representative BP & FIL values to cropland designated NB3 based on existing FBFM BP &FIL values


• Methods: Add BP& FIL created for Agricultural areas to existing BP & FIL grids to create final product

Supplementing Existing BP & FIL Data with Crop BP &FIL

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