FNA Process: Historical Vegetation

Author

Sarah Hagen

Important

If you prefer to work in an automated format, we have created an ArcGIS Pro toolbox (downloads a zip file) for each step of this workflow from data processing through table export. It is still recommended that you follow the guidance written on each FNA Process page as you run the tools so that you better understand the process and do not miss important context for what the tool is asking you to input in each box. The toolbox has simply been provided for your convenience should you choose to use it.

Note: These tools were created in ArcGIS Pro version 3.2.2 and will require the Spatial Analyst extension. If you are working in a different version of the software or do not have a Spatial Analyst license, some of these tools may not work as expected.

Understanding historical fire regimes using Biophysical Settings

Conducting a fire needs assessment involves understanding historical fire regimes and vegetation types to plan for future fire management and restoration efforts. This guide will walk you through the process, focusing on the LANDFIRE Biophysical Settings (BPS) and Fire Regime (FRI) data.

Important

This site will walk you through working with LANDFIRE spatial data in ArcGIS Pro. Please note that this workflow requires the Spatial Analyst extension. Some of the steps may work in QGIS or other open source GIS sources, but those workflows are not documented here. As an alternative, please explore the Fire Needs Assessments in R section if you would like to complete the process and do not have Spatial Analyst or access to ArcGIS Pro.

We have also created a replica of this workflow using Python and Jupyter notebooks. It does require ArcPy and Spatial Analyst, but is set up in a more automated format. If you would like to work this way, please explore the Fire Needs Assessments in Python section of this website.

Step-by-step process

Screenshots of the process are included below the written instructions for those who find them useful.

  1. Identify historical vegetation types
    • Load LANDFIRE Biophysical Settings Data: Begin by loading the LANDFIRE Biophysical Settings spatial data into ArcGIS Pro

    • Clip to area of interest: Use the Clip Raster tool or the Extract by Mask tool (requires a Spatial Analyst license) to clip the BPS spatial data to your specific area of interest. This will help you focus on the relevant geographic region.

    • Identify vegetation types: Examine the clipped BPS layer to identify the historical vegetation types present in your area.

Note

Don’t forget to set the environment settings in the tool. Most importantly, make sure the spatial reference of your output raster is correct and set a snap raster (e.g. the BPS_CONUS raster) to ensure your pixel extents match. This will be important later when you use one raster to process another.

  1. Estimate historical fire return intervals

    • Explore fire return interval data: The BPS data include fire return interval (FRI) information. Display the raster on the FRI_ALLFIR field to explore the historical fire return intervals for the identified vegetation type.
Tip

LANDFIRE also delivers the fire regime data separately. That dataset includes only fire severity, fire return interval, fire regime groups, and the BPS name and code. If your work is soley focused on fire regimes we suggest working with the fire return interval dataset. It will have all the information you need to complete this assessment.

  1. Calculate historical fire acreages

    • Add fields for calculation: Add an Acres field and an Acres_Year field to your clipped data.

    • Calculate acres: Use the following formula to calculate the total acres for each vegetation type:

    \[ Acres=!COUNT!*900*0.000247105 \]

    Here, !COUNT! represents the number of pixels for each vegetation type, 900 is the area of each pixel in square meters, and 0.000247105 converts square meters to acres.

    • Calculate acres burned annually: Use the following formula to calculate the number of acres that should burn each year for each BPS:

    \[ Acres\_Year=!Acres!/!FRI\_ALLFIR! \]

    This calculation will give you an estimate of the annual burned area under historical conditions.

Screenshots for understanding historical fire regime information

Adding BPS data to ArcGIS Pro by clicking the Add Data button in the ribbon bar and then selecting LC20_BPS_220.tif

Add BPS data to ArcGIS Pro.

 

Three panels with geoprocessing windows. The left shows the Extract by Mask tool with BPS as the input raster, the aoi as the input raster or feature mask data, and BPS_Output as the Output raster. The Extraction Area is set to inside and the analysis area is defined. The middle panel shows the Clip Raster tool with the same input and output rasters, the aoi as the output extent, and the X and Y extent defined. The right panel shows the environment settings with the coordinate system set to NAD_1983_Contiguous_USA_Albers to match the BPS coordinate system and the snap raster set to BPS

Crop the BPS raster to your area of interest.

 

The BPS attribute table in ArcGIS Pro. A vertical box highlights the BPS_NAME column and a horizontal box highlights the FRI_REPLAC, FRI_MIXED, FRI_SURFAC, FRI_ALLFIR, PRC_REPLAC, PRC_MIXED, PRC_SURFAC, and FRG_NEW fields

Explore BPS attributes on your landscape, including BPS names (shown in the vertical box), and fire regime information (shown in the horizontal box).

 

A map of BPS data for the Appalachians displayed on FRI_ALLFIR

Examine the fire regime attributes by displaying the primary symbology on FRI_ALLFIR using Unique Values. (Note: the image shown here is using a custom color scheme. Your data may look different.)

 

The attribute table in ArcGIS Pro with a box around the Add button at the top of the table next to the word Field. It also shows the Add Fields (multiple) geoprocessing tool on the side, with the BPS_Output as the Input table, and the field names as Acres and Acres_Year. Both are Float (32-bit floating point) field types

Add fields to the BpS raster. You can do this either by using the Add button in the attribute table or the Add Fields geoprocessing tool.

 

The attribute table in ArcGIS Pro with a box highlighting Calculate Field in the right-click menu. It also shows the Calculate Field geoprocessing tool on the side, with the BPS_Output as the Input table, field name as Acres, and the expression Acres=!Count! * 900 * 0.000247105.

Calculate the acre field. You can do this by right clicking on the field name in the attribute table and selecting Calculate Field or with the Calculate Field geoprocessing tool. Repeat the process with the appropriate formula to calculate Acres Burned/Year.

Still have questions? LANDFIRE is here to help.