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

This dataset is the Conditional Risk to Potential Structures (CRPS) 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. 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, but does not account for the actual probability of fire occurrence. The values in this dataset are multiplied by burn probability to generate the Risk to Potential Structures metric. 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

Data e Risorse

Campo Valore
accessLevel public
bureauCode {005:96}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier https://data-usfs.hub.arcgis.com/datasets/usfs::wildfire-risk-to-communities-conditional-risk-to-potential-structures-image-service
issued 2021-04-14
landingPage https://data-usfs.hub.arcgis.com/datasets/usfs::wildfire-risk-to-communities-conditional-risk-to-potential-structures-image-service
license https://creativecommons.org/licenses/by/4.0/
metadata_type geospatial
modified 2021-04-21
old-spatial -180.0000,18.8962,179.9999,71.4512
programCode {005:059}
publisher U.S. Forest Service
resource-type Dataset
source_datajson_identifier true
source_hash bfd90b2e232327a3326e006c7abca767f8a1c1b9
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]]]}
theme {geospatial}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • amerigeo
  • amerigeoss
  • ckan
  • conterminous-united-states
  • conus
  • ecology
  • ecosystems-environment
  • environment
  • environment-and-people
  • fire-effects-on-environment
  • fire-planning
  • fire-suppression
  • geo
  • geoscientificinformation
  • geoss
  • hazard
  • landscape-management
  • national
  • north-america
  • open-data
  • pre-suppression
  • risk-assessment
  • society
  • structure
  • united-states
  • wildland-urban-interface
isopen True
license_id cc-by
license_title Creative Commons Attribution
license_url http://www.opendefinition.org/licenses/cc-by
maintainer USFSEnterpriseContent
maintainer_email SM.FS.data@usda.gov
metadata_created 2025-11-20T18:26:19.713635
metadata_modified 2025-11-20T18:26:19.713639
notes This dataset is the Conditional Risk to Potential Structures (CRPS) 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. 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, but does not account for the actual probability of fire occurrence. The values in this dataset are multiplied by burn probability to generate the Risk to Potential Structures metric. 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. <div><br /></div><div>Additional methodology documentation is provided with the data publication download. <a href='https://www.fs.usda.gov/rds/archive/Catalog/RDS-2020-0016' rel='nofollow ugc' target='_blank'>Metadata and Downloads.</a></div><div><br /></div><div><b>Note: </b>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.<br /></div><div><br /></div><div>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. <a href='https://doi.org/10.2737/RDS-2016-0034-2' rel='nofollow ugc' target='_blank'>https://doi.org/10.2737/RDS-2016-0034-2</a><br /></div>
num_resources 2
num_tags 26
title Wildfire Risk to Communities Conditional Risk To Potential Structures (Image Service)