Wildfire Risk to Communities: Spatial datasets of wildfire risk for populated areas in the United States (2nd Edition)

Research Data Publication File Index

File Folder Description
_metadata_RDS-2020-0060-2.html   Metadata file in HTML format containing a description of the content, quality, and other characteristics of the data.
_metadata_RDS-2020-0060-2.xml   Metadata file in Extensible Markup Language (XML) format containing a description of the content, quality, and other characteristics of the data.
[THEME]_[EXTENT].tif \Data\[EXTENT] Georeferenced TIFF files are provided for the each of the following spatial extents: continental U.S., the District of Columbia, and each U.S. state ([EXTENT] = CONUS for continental U.S., DC for District of Columbia, AB for Alabama, AK for Alaska, AZ for Arizona, AK for Arkansas, CA for California, ..., WI for Wisconsin, and WY for Wyoming). For each extent there are ten different raster datasets:

1. BuildingCount_[EXTENT].tif: Continuous integer values representing the count of buildings located within each 30-meter (m) pixel. Values for the U.S. are between 0 and 50.

2. BuildingDensity_[EXTENT].tif: Continuous integer values representing the density of buildings in within each 30-m pixel (buildings per square kilometer [km²]). Values for the U.S. are between 0 and 8,054.

3. BuildingCover_[EXTENT].tif: Continuous integer values representing the percentage of habitable land area covered by buildings in each 30-m pixel. Values for the U.S. are between 0 and 100.

4. PopCount_[EXTENT].tif: Continuous floating point values representing residential population count (persons) in each 30-m pixel. Values for the U.S. are between 0 and 7,571.

5. PopDen_[EXTENT].tif: Continuous integer values representing the residential population density (people/km²) in each 30-m pixel. Values for the U.S. are between 0 and 109,512.

6. HUCount_[EXTENT].tif: Continuous floating point values representing the number of housing units in each 30-m pixel. Values for the U.S. are between 0 and 3,030.4.

7. HUDen_[EXTENT].tif: Continuous integer values representing housing-unit density in each 30-m pixel (housing units/km²). Values for the U.S. are between 0 and 62,264.

8. HUExposure_[EXTENT].tif: Continuous floating point values representing the expected number of housing units within a 30-m pixel potentially exposed to wildfire in a year. This is a long-term annual average and not intended to represent the actual number of housing units exposed in any specific year. Values for the U.S. are between 0 and 0.13.

9. HUImpact_[EXTENT].tif: Continuous integer values representing the relative potential impact of fire to housing units at any 30-m pixel, if a fire were to occur. It is a unitless index that incorporates the general consequences of fire on a home as a function of fire intensity. Values for the U.S. are between 0 and 1,952,625,152.

10. HURisk_[EXTENT].tif: Continuous integer values of a unitless index that represents all four primary elements of wildfire risk - likelihood, intensity, susceptibility, and exposure - on 30-m pixels where housing unit density is greater than zero. Values for the U.S. are between 0 and 7,556,012.

(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.)
WRC_V2_Methods_PopulatedAreas.pdf \Supplements Portable Document Format (PDF) file containing detailed descriptions of the data products included in this publication and the methods used to create them.
WRC_V2_Populated Areas_GISDataSymbology.pdf \Supplements PDF file with suggested class definitions and colors for displaying the landscape-wide risk raster datasets in GIS software.