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 F.
Grenfell, Isaac C.
2024
Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States
raster digital data
Fort Collins, CO
Forest Service Research Data Archive
This dataset is the Burn Probability (BP) for Hawaii.
2nd
https://doi.org/10.2737/RDS-2020-0016-2
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. The first edition of these data represented the first time wildfire risk to communities had been mapped nationally with consistent methodology. They provided foundational information for comparing the relative wildfire risk among populated communities in the United States. In this version, the 2nd edition, we use improved modeling and mapping methodology and updated input data to generate the current suite of products.
This dataset is the Burn Probability (BP) for Hawaii. It is part of the Wildfire Risk to Communities: Spatial datasets of landscape-wide wildfire risk components for the United States. BP represents the annual probability of wildfire burning in a specific location. It is referred to as Wildfire Likelihood in the Wildfire Risk to Communities web application.
Vegetation and wildland fuels data from LANDFIRE 2020 (version 2.2.0) form the foundation for the Wildfire Risk to Communities data. As such, the data presented here reflect landscape conditions as of the end of 2020. National wildfire hazard datasets of annual burn probability and fire intensity were generated from the LANDFIRE 2020 data by the USDA Forest Service, Rocky Mountain Research Station 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. Please refer to the metadata documentation for the main publication (https://doi.org/10.2737/RDS-2020-0016-2) for detailed process steps, tools and references related to this dataset. Additional methodology documentation is provided in a methods document (\Supplements\WildfireRiskToCommunities_V2_Methods_Landscape-wideRisk.pdf) packaged in the data downoad.
See the Wildfire Risk to Communities website at https://www.wildfirerisk.org for complete project information and an interactive web application for exploring some of the datasets published here. We deliver the data here as zip files by U.S. state (including AK and HI), and for the full extent of the continental U.S.
20201231
Ground condition
As needed
-154.759838046
22.2722054045
-160.605018082
18.8541539078
ISO 19115 Topic Categories
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
Hawaii
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: 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
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
5775 US Hwy 10 W
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 Pyrologix, LLC under contract with the USDA Forest Service, Fire Modeling Institute.
The dataset described here is derived from wildfire simulation modeling, and it’s exact accuracy cannot be measured. It is intended as a component of a relative measure of wildfire risk for planning purposes. The FSim burn probability dataset was objectively evaluated and calibrated against historic wildfire occurrence statistics within 136 distinct regions of contemporary wildfire activity (pyromes) across the United States (Short et.al 2020). See Dillon et al. (2023) for a more detailed description of FSim calibration. Some LANDFIRE fuels and vegetation data used as inputs have also been evaluated for efficacy and calibrated to meet the objectives of LANDFIRE. More information can be found at: https://www.landfire.gov/lf_evaluation.php. Dillon, Gregory K.; Scott, Joe H.; Jaffe, Melissa R.; Olszewski, Julia H.; Vogler, Kevin C.; Finney, Mark A.; Short, Karen C.; Riley, Karin L.; Grenfell, Isaac C.; Jolly, W. Matthew; Brittain, Stuart. 2023. Spatial datasets of probabilistic wildfire risk components for the United States (270m). 3rd Edition. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2016-0034-3 Short, Karen C.; Grenfell, Isaac C.; Riley, Karin L.; Vogler, Kevin C. 2020. Pyromes of the conterminous United States. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2020-0020
Unknown
Quantitative accuracy cannot be evaluated.
Pixel values in this BP dataset for the United States are between 0 and 0.14. Zero values indicate areas that had no probability of wildfire according to modeling.
All pixels that are part of the land and water of the United States have valid non-negative values.
Raster
Pixel
12602
20385
30.000000
30.000000
32
1
Upper Left
FALSE
LZ77
1
pixel codes
FGDBR
TRUE
30
30.00
Row and Column
Meters
Geodetic Reference System 80
6378137.0000
North American Datum of 1983
298.25722210
Continuous values of annual burn probability. Values for the United States are between 0 and 0.14. Values for Hawaii are between 0 and 0.065821.
Scott, Joe H.; Thompson, Matthew P.; Calkin, David E. 2013. A wildfire risk assessment framework for land and resource management. Gen. Tech. Rep. RMRS-GTR-315. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 83 p. https://www.fs.usda.gov/treesearch/pubs/56265
RDS-2020-0016-2
USDA Forest Service, Research and Development
mailing and physical
240 West Prospect Road
Fort Collins
CO
80526
USA
see Contact Instructions
Research Data Archivist
This contact information was current as of April 2024. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
2020
TIFF
32 Bit floating point; LZW compression; pyramids: levels 5, Nearest Neighbor resampling
Files zipped using the zipfile module in Python 2.7.16 (.ZIP file format version 6.3.6)
https://doi.org/10.2737/RDS-2020-0016
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.
20240423
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
Esri ArcGIS 13.4.0.55405
BP_HI
1
-160.605018
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22.296323
18.839763
BP_HI
002
-17878468.831768
-17224228.831768
2136079.711776
2547139.711776
1
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
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