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This spatial dataset was produced with the Wildfire Exposure Simulation Tool (WildEST), a cloud-based geospatial fire behavior characteristic simulation system. WildEST performs multiple deterministic simulations under a range of weather types (wind speed, wind direction, fuel moisture content) and weights those results based on weather type probabilities (WTP).
HURisk ntegrates all four primary elements of wildfire risk - likelihood, intensity, susceptibility, and exposure - on pixels where housing unit density is greater than zero. It is an index with similarities to Risk to Potential Structures (RPS), but it also incorporates housing unit count.
To obtain HUrisk, we used the housing unit count as derived from HUDen (representing exposure) and the cRPS raster (representing intensity and susceptibility). We multiplied those two datasets by the annual burn probability (BP) raster (representing wildfire likelihood). HURisk is analogous to the expected Net Value Change (eNVC) metric presented by Scott et al. (2013), if the only highly-valued resource or asset is housing units. The equation for HURisk is:
HURisk = (HUDen * 0.0001) * cRPS * BP
To produce the final integer version of the HURisk raster, we multiplied by 1,000,000 and rounded to the nearest intege. Pixels where the HUDen raster is zero are NoData in the HURisk raster.
This spatial dataset was produced with the Wildfire Exposure Simulation Tool (WildEST), a cloud-based geospatial fire behavior characteristic simulation system. WildEST performs multiple deterministic simulations under a range of weather types (wind speed, wind direction, fuel moisture content) and weights those results based on weather type probabilities (WTP).
HURisk ntegrates all four primary elements of wildfire risk - likelihood, intensity, susceptibility, and exposure - on pixels where housing unit density is greater than zero. It is an index with similarities to Risk to Potential Structures (RPS), but it also incorporates housing unit count.
To obtain HUrisk, we used the housing unit count as derived from HUDen (representing exposure) and the cRPS raster (representing intensity and susceptibility). We multiplied those two datasets by the annual burn probability (BP) raster (representing wildfire likelihood). HURisk is analogous to the expected Net Value Change (eNVC) metric presented by Scott et al. (2013), if the only highly-valued resource or asset is housing units. The equation for HURisk is:
HURisk = (HUDen * 0.0001) * cRPS * BP
To produce the final integer version of the HURisk raster, we multiplied by 1,000,000 and rounded to the nearest intege. Pixels where the HUDen raster is zero are NoData in the HURisk raster.