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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.

Published byMarvin Pope Modified over 9 years ago

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Presentation on theme: "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."— Presentation transcript:

1 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 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.orghttp://wfeis.mtri.org

2 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

3 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

4 Supplementing Existing BP & FIL Data with Crop BP &FIL for DOI Lands Methods: Create Fuel Model Map of NB3 Areas – Determine Crop type in areas designated NB3

5 Supplementing Existing BP & FIL Data with Crop BP &FIL for DOI Lands 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. Barley704833600.120.8829571.544352.2 0.3962.904 2 GR5 Wheat556033000.120.8829041.543562.2 0.3962.904 3 GR7 Soybeans406024000.130.8720881 1 0.130.87 2 GR2 Sorghum905650400.1350.86543601.565393.3 0.668254.28175 3 GR7 Rye505628000.120.8824641.536961.8 0.3242.376 1.5 GR4 Oats603219200.120.8816901 0.8 0.0960.704 3 GR3 Corn1305672800.1550.84561521 3.1 0.48052.6195 6 GR7

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

7 Supplementing Existing BP & FIL Data with Crop BP &FIL for DOI Lands Methods: Remove NB3 Areas From Burn Probability (BP) and Fire Intensity Level (FIL) Grids

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

9 Supplementing Existing BP & FIL Data with Crop BP &FIL for DOI Lands Example: GR7 Fuel model assigned to Wheat Crop Type which has wide geographic distribution across the US.

10 Supplementing Existing BP & FIL Data with Crop BP &FIL for DOI Lands Example: GR7 Fuel model distribution in LANDFIRE FBFM40 layer. The distribution is limited to NE MT, ND, SD, NE, MN

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

12 Supplementing Existing BP & FIL Data with Crop BP &FIL for DOI Lands Methods: Assign representative BP & FIL values to cropland designated NB3 based on existing FBFM BP &FIL values

13 Supplementing Existing BP & FIL Data with Crop BP &FIL for DOI Lands Methods: Add BP& FIL created for Agricultural areas to existing BP & FIL grids to create final product

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