Dillon, Gregory K. Lazarz, Mitchell T. Karau, Eva C. Story, Scott J. Pohl, Kelly A. 2024 raster digital data Fort Collins, CO Forest Service Research Data Archive 1st This dataset is the Community Wildfire Risk Reduction Zones raster for the Continental United States (CONUS). https://doi.org/10.2737/RDS-2024-0030 The geospatial data products described and distributed here are part of the Wildfire Risk to Communities project. This project was directed by Congress in the 2018 Consolidated Appropriations Act (i.e., 2018 Omnibus Act, H.R. 1625, Section 210: Wildfire Hazard Severity Mapping) to help U.S. communities understand components of their relative wildfire risk profile, the nature and effects of wildfire risk, and actions communities can take to mitigate risk. These data serve two purposes: 1) provide nationally-consistent spatial data that could be used to summarize hazard and risk to populated areas and take into consideration areas with housing units as well as adjacent areas with wildland fuels; and 2) provide communities with a way to spatially identify where different types of risk mitigation activities are likely to be most effective. This data publication includes Community Wildfire Risk Reduction Zone rasters, products delivered as part of the Wildfire Risk to Communities project. There are two types of data included: 1) raster spatial data that delineate Community Wildfire Risk Reduction Zones for all populated areas in the continental United States (CONUS), Alaska, and Hawaii; and 2) tabular summaries by communities, counties, tribal areas, and states of wildfire hazard and risk produced as part of the Wildfire Risk to Communities (WRC) project. The Community Wildfire Risk Reduction Zones (CWiRRZ) product is a 30-m raster delineating areas where mitigation activities will be most effective at protecting homes from most types of wildfire. The zones are determined by the spatial coincidence of wildfire likelihood (Burn Probability), and populated areas. There are four Risk Reduction Zones: Minimal Exposure Zone, Indirect Exposure Zone, Direct Exposure Zone, and Wildfire Transmission Zone. However, the CWiRRZ raster can be further deconstructed into ten zones, wherein the Wildfire Transmission Zone is separated into the following surface fuel types: Tree, Shrub, Grass, Agriculture, Non-Vegetated, Water, and Outlying Wildlands (area beyond 2400-m from buildings). See the Wildfire Risk to Communities (WRC) website at https://www.wildfirerisk.org for complete project information and an interactive web application for exploring some of the data published here. These data are considered part of WCR 2.0 which also includes: 1) Scott et al. (2024) containing data regarding wildfire risk across all lands, and 2) Jaffe et al. (2024) containing wildfire risk across lands where only housing units current exist. 20201231 Ground condition As needed Complete Conterminous United States -73.63565 48.75153 -128.38692 22.50362 ISO 19115 Topic Category environment geoscientificInformation society structure National Research & Development Taxonomy Ecology, Ecosystems, & Environment Fire Fire detection Fire ecology Fire effects on environment Fire suppression, pre-suppression Prescribed fire Environment and People Forest management Landscape management None burn probability hazard fuels management fire suppression fire likelihood fire planning risk assessment wildfire hazard potential None United States conterminous United States CONUS None These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation: Dillon, Gregory K.; Lazarz, Mitchell T.; Karau, Eva C.; Story, Scott J.; Pohl, Kelly A. 2024. Community wildfire risk reduction zones for the United States. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2024-0030 The datasets presented here are the product of modeling, and as such carry an inherent degree of error and uncertainty. Users are strongly encouraged to read and fully comprehend the metadata and other available documentation prior to data use. No warranty is made by the Originator as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data, or for purposes not intended by the Originator. These datasets are intended to provide nationally-consistent information for the purpose of comparing relative wildfire risk among communities nationally or within a state or county. Data included here are not intended to replace locally-calibrated state, regional, or local risk assessments where they exist. It is the responsibility of the user to be familiar with the value, assumptions, and limitations of these national data publications. Managers and planners must evaluate these data according to the scale and requirements specific to their needs. Spatial information may not meet National Map Accuracy Standards. This information may be updated without notification. USDA Forest Service, Fire Modeling Institute (FMI) mailing and physical

Missoula Fire Sciences Laboratory

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Missoula MT 59808 USA 406-329-4836 eva.c.karau@usda.gov Funding for this project provided by USDA Forest Service, Fire and Aviation Management. Funding also provided by USDA Forest Service, Fire Modeling Institute, which is part of the Rocky Mountain Research Station, Fire, Fuel and Smoke Science Program. Work on dataset development was primarily completed by the USDA Forest Service, Fire Modeling Institute. Some salary was provided by FMI through an ORISE agreement under the U.S. Department of Energy (DE-SC0014664). Gregory K. Dillon USDA Forest Service, Rocky Mountain Research Station https://orcid.org/0009-0006-6304-650X Mitchell T. Lazarz USDA Forest Service, Rocky Mountain Research Station https://orcid.org/0000-0002-4558-4949 Eva C. Karau USDA Forest Service, Rocky Mountain Research Station https://orcid.org/0009-0009-6776-9387 Scott J. Story Headwaters Economics Kelly A. Pohl Headwaters Economics https://orcid.org/0009-0003-3876-5121 Scott, Joe H. Dillon, Gregory K. Jaffe, Melissa R. Vogler, Kevin C. Olszewski, Julia H. Callahan, Michael N. Karau, Eva C. Lazarz, Mitchell T. Short, Karen C. Riley, Karin L. Finney, Mark A. Grenfell, Isaac C. 2024 raster digital data Fort Collins, CO Forest Service Research Data Archive 2nd https://doi.org/10.2737/RDS-2020-0016-2 Jaffe, Melissa R. Scott, Joe H. Callahan, Michael N. Dillon, Gregory K. Karau, Eva C. Lazarz, Mitchell T. 2024 2nd raster digital data Fort Collins, CO Forest Service Research Data Archive https://doi.org/10.2737/RDS-2020-0060-2 The raster dataset and tabular summaries described here are derived from wildfire simulation modeling and GIS processing, and their exact accuracy cannot be measured. They are intended to depict wildfire exposure zones and provide relative measures of wildfire risk for planning purposes. Unknown Quantitative accuracy cannot be evaluated. The Community Wildfire Risk Reduction Zones (CWiRRZ) raster is delivered in TIFF format with an attribute table with the following fields: 10 Class CWiRRZ: Minimal Exposure, Indirect Exposure, Direct Exposure, Wildfire Transmission Zone: Tree, Wildfire Transmission Zone: Shrub, Wildfire Transmission Zone: Grass, Wildfire Transmission Zone: Agriculture, Wildfire Transmission Zone: Non-Vegetated, Outlying Wildlands, Water; 4 Class CWiRRZ: Minimal Exposure, Indirect Exposure, Direct Exposure, Wildfire Transmission Zone All pixels that are part of the land and water of the United States have valid non-negative values. U.S. Department of Agriculture, Forest Service U.S. Department of the Interior 2022 2.2.0 raster digital data Scott, Joe H.; Burgan, Robert E. 2005. Standard fire behavior fuel models: a comprehensive set for use with Rothermel's surface fire spread model. Gen. Tech. Rep. RMRS-GTR-153. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 72 p. https://doi.org/10.2737/rmrs-gtr-153 https://www.landfire.gov/fuel.php 2020 Ground Condition LANDFIRE FBFM40 Online We used the LANDFIRE Fire Behavior Fuel Models layer (FBFM40) to delineate surface fuel categories within the Wildfire Transmission Zone. Jaffe, Melissa R. Scott, Joe H. Callahan, Michael N. Dillon, Gregory K. Karau, Eva C. Lazarz, Mitchell T. 2024 2nd raster digital data Fort Collins, CO Forest Service Research Data Archive https://doi.org/10.2737/RDS-2020-0060-2 WRC 2.0 Building Count Online We used the WRC 2.0 Building Count to identify building locations when creating wildfire exposure zones. 20201231 Ground Condition Scott, Joe H. Dillon, Gregory K. Jaffe, Melissa R. Vogler, Kevin C. Olszewski, Julia H. Callahan, Michael N. Karau, Eva C. Lazarz, Mitchell T. Short, Karen C. Riley, Karin L. Finney, Mark A. Grenfell, Isaac C. 2024 2nd raster digital data Fort Collins, CO Forest Service Research Data Archive https://doi.org/10.2737/RDS-2020-0016-2 20201231 Ground Condition WRC 2.0 Exposure Type Online We used the WRC 2.0 Exposure Type raster to classify the area surrounding buildings into three categories: Minimal Exposure, Indirect Exposure, and Direct Exposure. Scott, Joe H. Dillon, Gregory K. Jaffe, Melissa R. Vogler, Kevin C. Olszewski, Julia H. Callahan, Michael N. Karau, Eva C. Lazarz, Mitchell T. Short, Karen C. Riley, Karin L. Finney, Mark A. Grenfell, Isaac C. 2024 2nd raster digital data Fort Collins, CO Forest Service Research Data Archive https://doi.org/10.2737/RDS-2020-0016-2 2022 Ground Condition WRC 2.0 Housing Unit Count Online We used the WRC 2.0 Housing Unit Count raster in the process of removing erroneously mapped building pixels before creating wildfire exposure zones. U.S. Census Bureau 2022 vector digital data https://www2.census.gov/geo/tiger/TIGER2022/STATE 2022 Publication Date Census State boundaries Online We summarized wildfire hazard and risk metrics within Census state polygons for the state level summary tables. U.S. Census Bureau 2022 2022 vector digital data https://www2.census.gov/geo/tiger/TIGER2022/COUNTY 2022 Publication Date Census County boundaries We summarized wildfire hazard and risk metrics within Census county polygons for the county level summary tables. U.S. Census Bureau 2022 2022 vector digital data https://www2.census.gov/geo/tiger/TIGER2022/AIANNH/ Census Tribal Area boundaries Online We summarized wildfire hazard and risk metrics within Census tribal area polygons for the Tribal Area level summary tables. 2022 Publication Date U.S. Census Bureau 2022 2022 vector digital data https://www2.census.gov/geo/tiger/TIGER2022/PLACE/ 2022 Publication Date Census Place boundaries Online We summarized wildfire hazard and risk metrics within Census place polygons for the community level summary tables. Scott, Joe H. Dillon, Gregory K. Jaffe, Melissa R. Vogler, Kevin C. Olszewski, Julia H. Callahan, Michael N. Karau, Eva C. Lazarz, Mitchell T. Short, Karen C. Riley, Karin L. Finney, Mark A. Grenfell, Isaac C. 2024 2nd raster digital data Fort Collins, CO Forest Service Research Data Archive https://doi.org/10.2737/RDS-2020-0016-2 2024 Publication Date WRC 2.0 Landscape-wide hazard and risk rasters Online WRC 2.0 Landscape-wide hazard and risk rasters were used in the process of summarizing hazard and risk metrics within jurisdictional boundaries (states, counties, tribal areas, and communities). Jaffe, Melissa R. Scott, Joe H. Callahan, Michael N. Dillon, Gregory K. Karau, Eva C. Lazarz, Mitchell T. 2024 2nd raster digital data Fort Collins, CO Forest Service Research Data Archive https://doi.org/10.2737/RDS-2020-0060-2 2024 Publication Date WRC 2.0 Populated Areas datasets Online WRC 2.0 Populated Areas datasets were used in the process of summarizing populated areas metrics within jurisdictional boundaries (states, counties, tribal areas, and communities). 2024 The Wildfire Risk to Communities (WRC) datasets are based on wildfire simulation modeling. Given the relatively short time available for analysis and production of the WRC datasets, the methods for this project were designed to leverage the existing national wildfire simulation data from Dillon et al. (2023) without further local calibration or modeling work, although one minor edit to the off-the-shelf fuel data was required to calibrate fire occurrence in northern Minnesota. To make the WRC data most useful to communities, we implemented a process to downscale the national burn probability data from their native 270-m cell size to the native 30-m resolution of the nationally available LANDFIRE fuels and vegetation data. Through this process, we also used geospatial smoothing techniques to account for wildfire hazard in parts of communities adjacent to wildland vegetation that may have indirect exposure to wildland fire. The overall process was as follows: 2023 WRC 2.0 Building Count, WRC 2.0 Housing Unit Count 1. Remove potentially erroneously mapped buildings. To create wildfire exposure zones, we started with the Building Count raster. But because there are some pixels mapped erroneously as buildings (“false positives”) in the Building Count raster, we removed any pixels mapped within USDA or USDOI Wilderness and Roadless areas, while including buildings mapped within 200-m from the inside edge of those boundaries. We also used the following logic to further minimize false positives: Building Count pixels were eliminated if they were greater than 500-m from a road or greater than 2400-m from a housing unit as mapped in the HUCount raster. 2023 WRC 2.0 Building Count, Census Place boundaries 2. Restore potential buildings within Census Places. Because Step 1 removed several building pixels that were true buildings, we checked to see if any Census Designated Places (CDPs) have no buildings after that step, and if so, we added them back into the set of filtered building pixels within that CDP. This ensured that we include buildings within communities where roads were sparsely mapped, and Census data does not adequately count population. 2023 WRC 2.0 Building Count 3. Create exposure area around buildings. We buffered filtered buildings by 200-m to approximate an exposure area (~30 acres) surrounding structures where wildfire risk reduction actions may be warranted. 2023 WRC 2.0 Exposure Type 4. Characterize exposure zones.Within the buffered area surrounding buildings, we reclassified the Exposure Type raster where: Exposure Type is 0 = Minimal Exposure, Exposure type is between 0 and 1 = Indirect Exposure, and Exposure Type is 1 = Direct Exposure. We then used a 200-m radius moving window majority filter on the classified Exposure Types to define boundaries between exposure zones and represent the influence of adjacent fuels on a pixel’s exposure type. To maintain the spatial precision of the Direct Exposure class, we returned pixels originally in the Direct Exposure class to their Direct Exposure in the final exposure zone raster. 2023 5. Identify building clusters. Though we build an exposure zone around every building across the landscape, the Wildfire Transmission Zone is created only around building clusters. To implement this logic, we create a raster processing mask extending from buildings where either of the following conditions apply: 1. A building is within a 227 m radius of one or more buildings, OR 2. A building is within a 908 m radius of 16 or more buildings. Both conditions, when implemented in a raster focal sum operation, generates an area around a building equivalent to 1 building per 40 acres, however the first condition captures buildings that are within 40 acres of another building but in an otherwise sparsely populated area, while the second condition captures buildings near the edges of more densely populated areas. We combined the masks created from these two conditions and selected buildings that fell within the combined area as the starting point from which to build the Wildfire Transmission Zone. We identified the buildings selected with this process as belonging to a “building cluster”, as each one is in a group with other buildings. 2023 6. Create buffer surrounding building clusters. From the building clusters selected in Step 2.a., we created a 2.4 km buffer to delineate the Wildfire Transmission Zone. 2023 LANDFIRE FBFM40 7. Define fuel categories within Wildfire Transmission Zone. Several geoprocessing steps were required to define each of the categories within the Wildfire Transmission Zone (WTZ): WTZ-Tree is mapped as the area 200m – 2400m from building clusters, where LANDFIRE FBFM40 is equal to either a Timber Understory (161, 162, 163, 164, 165), Timber Litter (181, 182, 183, 184, 185, 186, 187, 188, 189), or Slash-Blowdown (201, 202, 203, 204) fuel model. WTZ-Shrub is mapped as the area 200m – 2400m from building clusters, where LANDFIRE FBFM40 is equal to either a Grass-Shrub (121, 122, 123, 124) or Shrub (141, 142, 143, 144, 145, 146, 147, 148, 149) fuel model. WTZ-Grass is mapped as the area 200m – 2400m from building clusters, where LANDFIRE FBFM40 is equal to a Grass fuel model (101, 102, 103, 104, 105, 106 ,107, 108, 109). WTZ-Agriculture is mapped as the area 200m – 2400m from building clusters, where LANDFIRE FBFM40 is equal to the non-burnable Agricultural fuel model (93); or where exposure is minimal, FBFM40 is 93, and there are no buildings. The second part of this mapping rule eliminated areas of minimal exposure around buildings surrounded by larger regions of non-burnable agriculture, resulting in a more conservative and intuitive characterization for this Wildfire Transmission Zone category. WTZ-Non-Vegetated is mapped as the area 200m – 2400m from building clusters, where LANDFIRE FBFM40 is equal to a non-burnable Urban, Snow/Ice, or Barren fuel model (91, 92, 99); or where exposure is minimal, FBFM40 is either 91, 92, or 99, there are no buildings, and the majority of pixels within a 200-m radius are non-burnable Agriculture. The second part of this mapping rule is a minor fix that maintains logical consistency by stamping in the WTZ-Non-Vegetated class where Minimal Exposure pixels are surrounded by agriculture. 2023 LANDFIRE FBFM40 8. Delineate ancillary zones.Outlying Wildlands is mapped as the area beyond 2400 m from building clusters, where an Exposure Zone is not assigned, or water is not present. Water is mapped as any area where LANDFIRE FBFM40 is water (98). 2023 9. Create final CWiRRZ raster. The final step in creating the CWiRRZ product is to stamp the Exposure Zone raster on top of the Wildfire Transmission Zone and ancillary zones resulting in a raster with the final classes. The raster attribute table includes all information needed to display either the 4 Class or 10 Class CWiRRZ versions: 4-class CWiRRZ – includes the three exposure zones and the entire Wildfire Transmission Zone mapped with a single value. 10-class CWiRRZ – includes the three exposure zones and separate values for each of the fuel categories in the Wildfire Transmission Zone. It also includes the Outlying Wildlands and Water categories. 2023 Census State boundaries, Census County boundaries, Census Tribal Area boundaries, Census Place boundaries, WRC 2.0 Landscape-wide hazard and risk rasters, WRC 2.0 Populated Areas datasets 10. Produce tabular summaries of wildfire hazard and risk. This publication includes a set of tables that summarize many of the wildfire hazard and risk raster datasets from Scott et al. (2024, https://doi.org/10.2737/RDS-2020-0016-2) and Jaffe et al. (2024, https://doi.org/10.2737/RDS-2020-0060-2) by jurisdictions – states, counties, tribal areas, and communities. For WRC 1.0, we calculated these summaries as housing unit weighted means within the political boundaries of the different jurisdictions. We summarized risk only where Housing Unit Density is greater than zero, focusing in on the location of homes and the surrounding 200-m radius area used in creating the density raster. For the new summaries in WRC 2.0, we included broader spatial context that captures the hazard characteristics of the surrounding landscape. This was accomplished by summarizing the hazard and risk within three zones defined in the CWiRRZ: the Indirect Exposure Zone, Direct Exposure Zone, and Wildfire Transmission Zone. To capture the full extent of these zones relative to any jurisdiction, we include all area within these three zones that is within 2.4 km of the jurisdictional boundary, such that the wildfire hazard within 2.4 km of all buildings in any jurisdiction is considered in its summary statistics. The metrics reported in the WRC 2.0 tables are also land area based rather than weighted by housing units. This means that averages for this version were calculated with all pixels within the summary area weighted evenly, as opposed to previous calculations that were weighted by the relative housing-unit density at each pixel. 2024 Raster Pixel 101538 156335 Albers Conical Equal Area 29.5 45.5 -96.0 23.0 0 0 30.00 30.00 Coordinate Pair Meters World Geodetic System of 1984 6378137.0000 North American Datum of 1983 298.25722210 Below is a description of the files included in this dataset. 1. \Data\CWiRRZ_CONUS.tif: Georeferenced TIFF file containing discrete values which characterize community wildfire risk reduction zones with a 30 m pixel size. Mapped for the extent of the conterminous United States (CONUS) and available as a downloadable zip file. Referred to in the Wildfire Risk to Communities web application as Risk Reduction Zones. Attributes for this raster dataset include: OID = Internal feature number generated automatically Value = Cell value for 10-class attributes (0-9), see 'Zone' for description of each class Count = Number of cells in raster dataset with specified 'Value' Zone = Wildfire Transmission Zone (WTZ) is deconstructed into individual fuel type categories, and two ancillary categories are mapped, resulting in the following 10 classes: Minimal Exposure, Indirect Exposure, Direct Exposure, WTZ-Tree, WTZ-Shrub, WTZ-Grass, WTZ-Agriculture, WTZ-Non-Vegetated, Outlying Wildlands, and Water (which represent 'Value' = 0-9, respectively). Value4 = Cell value for 4-class attributes (0-4), see 'Zone4' for description of each class Zone4 = Wildfire Transmission Zones (WTZ) broken into 4 classes: Minimal Exposure, Indirect Exposure, Direct Exposure, Wildfire Transmission Zone, and NA = not applicable (which represent 'Value' = 0-4, respectively). (Associated OVR files are included and contain pyramids that allow the raster datasets to draw more quickly in GIS software. Associated XML files contain dataset-specific FGDC-CSDGM metadata containing a description of the content, quality, and other characteristics of the data.) SUPPLEMENTAL FILES (8) 1. \Supplements\WildfireRiskToCommunities_V2_Methods_CommunityWildfireRiskReductionZones.pdf: Portable Document Format file containing detailed descriptions of the data products included in this publication and the methods used to create them. 2. \Supplements\WildfireRiskToCommunities_V2_CWiRRZ_GISDataSymbology.xlsx: Microsoft Excel file with suggested class definitions and colors for displaying the raster datasets in GIS software. 3. \Supplements\WildfireRiskToCommunities_V2_State_Summary.csv: Comma delimited text file containing tabular summaries of the spatial data included in this publication for each of the 50 U.S. States and the District of Columbia. See detailed descriptions of all columns in Supplements\WildfireRiskToCommunities_V2_SummaryTableFieldDescriptions.csv. 4. \Supplements\WildfireRiskToCommunities_County_V2_Summary.csv: Comma delimited text file containing tabular summaries of the spatial data included in this publication for Counties covering the 50 U.S. states. See detailed descriptions of all columns in Supplements\WildfireRiskToCommunities_V2_SummaryTableFieldDescriptions.csv. 5. \Supplements\WildfireRiskToCommunities_V2_TribalArea_Summary.csv: Comma delimited text file containing tabular summaries of the spatial data included in this publication for each of the 736 U.S. Tribal Areas. See detailed descriptions of all columns in Supplements\WildfireRiskToCommunities_V2_SummaryTableFieldDescriptions.csv. 6. \Supplements\WildfireRiskToCommunities_V2_Community_Summary.csv: Comma delimited text file containing tabular summaries of the spatial data included in this publication for each of the 31,895 U.S. Census Places considered as communities for this analysis. See detailed descriptions of all columns in Supplements\WildfireRiskToCommunities_V2_SummaryTableFieldDescriptions.csv. 7. \Supplements\WildfireRiskToCommunities_V2_SummaryTableFieldDescriptions.csv. Comma delimited text file describing fields included in the state, county, tribal area, and community summary tables. 8. \Supplements\WildfireRiskToCommunities_V2_AllJursidictions_Summary.xlsx: Microsoft Excel file containing tabular summaries of the spatial data included in this publication for each of the jurisdictions in this analysis (states, counties, tribal areas, and places). Detailed descriptions of all columns in the summary table are provided in the Field Descriptions sheet. Scott, Joe H.; Dillon, Gregory K.; Jaffe, Melissa R.; Vogler, Kevin C.; Olszewski, Julia H.; Callahan, Michael N.; Karau, Eva C.; Lazarz, Mitchell T.; Short, Karen C.; Riley, Karin L.; Finney, Mark A.; Grenfell, Isaac C. 2024. Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States. 2nd Edition. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2020-0016-2 Jaffe, Melissa R.; Scott, Joe H.; Callahan, Michael N.; Dillon, Gregory K.; Karau, Eva C.; Lazarz, Mitchell T. 2024. Wildfire Risk to Communities: Spatial datasets of wildfire risk for populated areas in the United States. 2nd Edition. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2020-0060-2 RDS-2024-0030 USDA Forest Service, Research and Development mailing and physical

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Fort Collins CO 80526 USA see Contact Instructions Research Data Archivist This contact information was current as of May 2024. For current information see Contact Us page on: https://doi.org/10.2737/RDS. 2024 TIFF Georeferenced Tagged Image Format File; 8 Bit unsigned integer; LZW compression; pyramids: levels 5, Nearest Neighbor resampling No compression applied https://doi.org/10.2737/RDS-2024-0030 XLSX see Format Specification Microsoft Excel Open XML spreadsheet file Files zipped using 7-Zip 19.0 https://doi.org/10.2737/RDS-2024-0030 PDF see Format Specification Portable Document Format file Files zipped using 7-Zip 19.0 https://doi.org/10.2737/RDS-2024-0030 None Metadata documents have been reviewed for accuracy and completeness. Unless otherwise stated, all data and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. However, neither the author, the Archive, nor any part of the federal government can assure the reliability or suitability of these data for a particular purpose. The act of distribution shall not constitute any such warranty, and no responsibility is assumed for a user's application of these data or related materials. The metadata, data, or related materials may be updated without notification. If a user believes errors are present in the metadata, data or related materials, please use the information in (1) Identification Information: Point of Contact, (2) Metadata Reference: Metadata Contact, or (3) Distribution Information: Distributor to notify the author or the Archive of the issues. 20240506 USDA Forest Service, Fire Modeling Institute (FMI) mailing and physical

Missoula Fire Sciences Laboratory

5775 US Hwy 10 W

Missoula MT 59808 USA 406-329-4836 eva.c.karau@usda.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001.1-1999 wildfire Idaho Wildfire risk reduction zones developed by the USDA Forest Service covering CONUS. Wildfire Risk Reduction Zones