Look for complete geospatial metadata in this layer's associated xml document available from the download link * Metric Name: Damage Potential * Tier: 1 * Data Vintage: 08/2023. Includes disturbances through the end of 2022 * Unit Of Measure: Relative index, low to high * Metric Definition and Relevance: This metric combines two data layers; one is the Wildland Urban Interface (WUI) as defined by Carlson et al. 2022 (see WUI definition section for more information), and a second data layer, Damage Potential (DP), developed by Pyrologix LLC. The WUI includes the intermix and interface zones which collectively identify areas where structures occur. The distance selected for the interface definition is based on research from the California Fire Alliance suggesting that this is the average distance firebrands can travel from an active wildfire front. The composite Damage Potential (DP) dataset represents a relative measure of wildfire’s potential to damage a home or other structure if one were present at a given pixel, and if a wildfire were to occur (conditional exposure). It is a function of ember load to a given pixel, and fire intensity at that pixel, and considers the generalized consequences to a home from fires of a given intensity (flame length). This index does not incorporate a measure of annual wildfire likelihood. * Creation Method: This metric represents DP for WUI areas only. DP values were binned based on the following ranges into 6 classes and assigned class names. * 0 (None): Values = 0 * 1 (Very Low): Values 0.01 to 20 * 2 (Low): Values 20 to 35 * 3 (Moderate): Values 35 to 50 * 4 (High): Values 50 to 80 * 5 (Very High): Values 80+ The current delineation of the WUI (Carlson et al. 2022) uses a mapping algorithm with definitions of the WUI; two classes of WUI were identified: * the intermix, where there is at least 50% vegetation cover surrounding buildings * the interface, where buildings are within 2.4 km (1.5 miles) of a patch of vegetation at least 5 km2 in size that contains at least 75% vegetation. Both classes required a minimum building density of 6.17 buildings per km2 (using a range of circular neighborhood sizes). Damage Potential (DP) data was produced by Pyrologix LLC, a wildfire threat assessment research firm, as part of a spatial wildfire hazard assessment across all land ownerships for the state of California. The ongoing work generally follows the framework outlined in Scott and Thompson (2013), with custom methods and significant improvements developed by Pyrologix. The project generally consists of three components: fuelscape calibration and updates, wildfire hazard assessment, and risk assessment. It utilizes a combination of wildfire models and custom tools, including WildEST (Wildfire Exposure Simulation Tool), a custom modeling tool developed by Pyrologix (Scott, 2020). To date, this work has resulted in a wide variety of spatial data layers related to wildfire hazard and risk, including Damage Potential (DP), representing conditions prior to the 2023 fire season. Work to date has been funded by the USDA Forest Service Region 5, the California Energy Commission, and the USDI Bureau of Land Management with data contributions from CAL FIRE. Please reference the Pyrologix 2021 project report (Volger et al., 2021) for more information about the project or WildEST analysis. Damage Potential (DP) is a proprietary index developed by Pyrologix LLC representing wildfire’s potential to damage a home or other structure if a wildfire were to occur (conditional exposure). It is a function of ember load to a given pixel and fire intensity at that pixel, and it considers the generalized consequences to a home from fires of a given intensity (flame length). DP is calculated based on two other datasets developed by Pyrologix: conditional risk to potential structures (cRPS) and conditional ember load index (cELI). cRPS represents the potential consequences of fire to a home at a given location if a fire occurs there and if a home were located there. It is a measure that integrates wildfire intensity with generalized consequences to a home on every pixel. Wildfire intensity (flame length) is calculated using Pyrologix’ WildEST tool. WildEST is a scripted geospatial process used to perform multiple deterministic simulations under a range of weather types (wind speed, wind direction, fuel moisture content). Rather than weighting results solely according to the temporal relative frequencies of the weather scenarios, the WildEST process integrates results by weighting them according to their weather type probabilities (WTP), which appropriately weights high- spread conditions into the calculations. For fire-effects calculations, WildEST generates flame-length probability rasters that incorporate non- heading spread directions, for which fire intensity is considerably lower than at the head of the fire. The response function characterizing potential consequences to an exposed structure is applied to fire effects flame lengths from WildEST for all burnable fuel types on the landscape regardless of whether an actual structure is present or not. The response function does not consider building materials of structures and is meant as a measure of the effect of fire intensity on structure exposure. The response function is provided below: * Flame length probability of 0-2 ft: -25 * Flame length probability of 2-4 ft: -40 * Flame length probability of 4-6 ft: -55 * Flame length probability of 6-8 ft: -70 * Flame length probability of 8-12 ft: -85 * Flame length probability of >12 ft: -100 These results were calculated using 30m fire-effects flame-length probabilities from the WildEST wildfire behavior results and then further smoothed. cELI is also calculated in WildEST, and represents the relative ember load per pixel, given that a fire occurs, based on surface and canopy fuel characteristics, climate, and topography within the pixel. Units are the relative number of embers. cELI is based on heading-only fire behavior. Damage Potential is then calculated as the arithmetic mean of cELI and cRPS for each pixel across the landscape as follows: 𝐷𝑃 = 𝑐𝑅𝑃𝑆 + 𝑐𝐸𝐿𝐼/2 Although flame length and its potential impact to structures is a function of the fire environment at the subject location only, ember load is a function of ember production and transport in the area surrounding the subject location. A location with light fuel (and therefore low flame length) could still have significant Damage Potential if surrounded by a fire environment that produces copious embers. * Credits: Pyrologix, LLC \--James Newman (California State BLM Office) jnewman@blm.gov WUI, Carlson et al, 2022 \--Carlson, Amanda R., David P. Helmers, Todd J. Hawbaker, Miranda H. Mockrin, and Volker C. Radeloff