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This page is actively in development

February 24, 2025

Dear fireexposuR users,

More details will be added to this page soon! For now, here are some considerations for choosing your raster data. You can find even more discussion about this topic in Forbes and Beverly (2024).

Best,

Air

Determine required input datasets

Consult the flowchart and table to determine the input data required to reach a desired output. Note that using fire_exp_validate() has more requirements, see the details in the function documentation.

Desired Output Required Raster Data Optional Raster Data Required Vector Data Optional Vector Data
Exposure Hazardous Fuel Non-Burnable Area of Interest (Polygon)
Directional Vulnerability Transects Hazardous Fuel Non-Burnable Value (Point or Simple Polygon)
Exposure to Values Hazardous Fuel Non-Burnable Values (Multi-Point or Multi-Polygon)

Raster Data

The hazardous fuel raster and optional non-burnable raster should be derived from the same land cover information product.

Determine minimum data requirements

The minimum spatial resolution and extent requirements will depend on a variable Transmission Distance and Area.

Minimum Spatial Resolution = Transmission Distance / 3

Minimum Spatial Extent = Area + Buffer of Transmission Distance

Transmission Distance

Transmission Distance
Long-range embers default 500 m
Short-range embers default 100 m
Radiant heat default 30 m
Custom * x m

* the function fire_exp_adjust() can be used to set a custom transmission distance. This is only recommended if the default values do not represent fire behaviour in the area of interest.

Area

Desired output Area
Exposure Optional provided polygon area OR input raster extent *
Transects Value extent + Buffer of Total Transect Distance (default is 15000 m)
Values Values extent + Buffer of Transmission Distance

* Note that a negative transmission distance buffer will be lost due to edge effects

Additional considerations

Temporal resolution

When sourcing a ready-made land cover information product it may need to be updated to reflect the current land cover composition if it was produced in the past. Consider if there has been significant changes to land cover types between now and the data production date. For example, a dataset could be updated to reflect recent wildfire disturbances by overlaying fire perimeters.

land cover classifiers

When sourcing or creating a land cover information product it is also important to consider the classification scheme that is used. It needs to be possible to determine if a fuel will be hazardous at the chosen ‘Transmission Distance’ based on the classifier. For example, conifer fuels are considered hazardous to long-range ember transport in Alberta. If the land cover classifiers only specify if an area is “Forest” but does not differentiate between the tree species it would not be possible to determine which cells are hazardous for long-range embers.

References

Forbes AM, Beverly JL (2024) Influence of fuel data assumptions on wildfire exposure assessment of the built environment. International Journal of Wildland Fire 33, WF24025 DOI