Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Wildfire Risk to Communities Risk To Potential Structures (Image Service)

Metadata Updated: June 21, 2023

This dataset is the Risk to Potential Structures (RPS) for the United States. It is part of the Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States. RPS is a measure that integrates wildfire likelihood and intensity with generalized consequences to a home on every pixel. For every place on the landscape, it poses the hypothetical question, 'What would be the relative risk to a house if one existed here?' This allows comparison of wildfire risk in places where homes already exist to places where new construction may be proposed. This dataset is referred to as Risk to Homes in the Wildfire Risk to Communities web application. Vegetation and wildland fuels data from LANDFIRE 2014 (version 1.4.0) form the foundation for the Wildfire Risk to Communities data. As such, the data presented here reflect landscape conditions as of the end of 2014. National wildfire hazard datasets of annual burn probability and fire intensity were generated from the LANDFIRE 2014 data by the USDA Forest Service, Rocky Mountain Research Station (Short et al. 2020) using the large fire simulation system (FSim). These national datasets produced with FSim have a relatively coarse cell size of 270 meters (m). To bring these datasets down to a finer resolution more useful for assessing hazard and risk to communities, we upsampled them to the native 30 m resolution of the LANDFIRE fuel and vegetation data. In this upsampling process, we also spread values of modeled burn probability and intensity into developed areas represented in LANDFIRE fuels data as non-burnable.�Additional methodology documentation is provided with the data publication download.�Metadata and Downloads.Note:�Pixel values in this image service have been altered from the original raster dataset due to data requirements in web services. The service is intended primarily for data visualization. Relative values and spatial patterns have been largely preserved in the service, but users are encouraged to download the source data for quantitative analysis.Short, Karen C.; Finney, Mark A.; Vogler, Kevin C.; Scott, Joe H.; Gilbertson-Day, Julie W.; Grenfell, Isaac C. 2020. Spatial datasets of probabilistic wildfire risk components for the United States (270m). 2nd Edition. Fort Collins, CO: Forest Service Research Data Archive.�https://doi.org/10.2737/RDS-2016-0034-2

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons Attribution

Downloads & Resources

Dates

Metadata Created Date November 3, 2022
Metadata Updated Date June 21, 2023

Metadata Source

Harvested from USDA JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date November 3, 2022
Metadata Updated Date June 21, 2023
Publisher U.S. Forest Service
Maintainer
Identifier https://www.arcgis.com/home/item.html?id=b67f6b56887f4bd595bc48ca59b4dd68
Data First Published 2021-04-14
Data Last Modified 2023-03-21
Category geospatial
Public Access Level public
Bureau Code 005:96
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id d77f2986-b8c6-4865-9dc4-e8917c9c0292
Harvest Source Id d3fafa34-0cb9-48f1-ab1d-5b5fdc783806
Harvest Source Title USDA JSON
Homepage URL https://data-usfs.hub.arcgis.com/datasets/usfs::wildfire-risk-to-communities-risk-to-potential-structures-image-service
License https://creativecommons.org/licenses/by/4.0/
Metadata Type geospatial
Old Spatial -180.0000,18.8962,179.9999,71.4512
Program Code 005:059
Source Datajson Identifier True
Source Hash d738b046c9c1823a5c3c4560727de4708cc01880
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -180.0000, 18.8962, -180.0000, 71.4512, 179.9999, 71.4512, 179.9999, 18.8962, -180.0000, 18.8962}

Didn't find what you're looking for? Suggest a dataset here.