WRC

Datasets:

  • Wildfire Risk to Communities (WRC)

Description: The Wildfire Risk to Communities dataset was created by USDA Forest Service to help assess risk to homes, businesses, and other valued resources. The dataset contains nationally-consistent information for the purpose of comparing relative wildfire risk among communities nationally or within a state or county. In situ risk (risk at the location where the adverse effects take place on the landscape) are modeled using the large fire simulation system (FSim) and LANDFIRE fuel loading datasets from 2014. The original data at 250m has been upsampled to 30m for this dataset on Climate Engine. 

Organization: USDA Forest Service

Website: WRC Publication Details

Earth Engine Community Catalog: 

  • This WRC dataset has been ingested into Earth Engine by Climate Engine and is available for use through asset id projects/climate-engine-pro/assets/ce-wrc-static.
  • Coming soon to the Earth Engine Community Catalog.

Spatial resolution: 30m

Time Span: 2014 (Static). This dataset is based on data from 2014 LANDFIRE data. It is a static dataset and it is unknown when it will be updated to reflect more recent conditions. 

Variables: (See definitions of these under Metrics information)

  • Burn Probability 
  • Conditional Flame Length
  • Conditional Risk to Potential Structures
  • Exposure Type
  • Flame Length Exceedance Probability – 4 ft
  • Flame Length Exceedance Probability – 8 ft
  • Risk to Potential Structures
  • Wildfire Hazard Potential index

Terms of Use:

  • These data were collected using funding from the U.S. Government and can be used without additional permissions or fees.

References:

  • Scott, Joe H.; Gilbertson-Day, Julie W.; Moran, Christopher; Dillon, Gregory K.; Short, Karen C.; Vogler, Kevin C. 2020. Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States. Fort Collins, CO: Forest Service Research Data Archive. Updated 25 November 2020. https://doi.org/10.2737/RDS-2020-0016 (Publication Details)

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