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Corporate data contained within this raster is intended for spatial display and analysis purposes. This layer depicts the expected net value change (eNVC) across the agriculture highly valued resource and asset (HVRA) included in the Pacific Northwest's (PNW) quantitative wildfire risk assessment (QWRA) for 2025. The eNVC represents the expected fire impacts at any location based on which HVRAs are present, the expected fire behavior, and considers the annual likelihood of wildfire occurring. The fire hazard data used captures disturbance, fuel treatments, and fire history through calendar year 2024. HVRAs, relative importance, and response function are unchanged from the 2023 QWRA. Data finalized and released 10/31/2025.
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| summary:
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Corporate data contained within this raster is intended for spatial display and analysis purposes. This layer depicts the expected net value change (eNVC) across the agriculture highly valued resource and asset (HVRA) included in the Pacific Northwest's (PNW) quantitative wildfire risk assessment (QWRA) for 2025. The eNVC represents the expected fire impacts at any location based on which HVRAs are present, the expected fire behavior, and considers the annual likelihood of wildfire occurring. The fire hazard data used captures disturbance, fuel treatments, and fire history through calendar year 2024. HVRAs, relative importance, and response function are unchanged from the 2023 QWRA. Data finalized and released 10/31/2025.
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This assessment was completed by Oregon State University in collaboration with the Oregon Department of Forestry, Washington State Department of Natural Resources, the U.S. Bureau of Land Management and the U.S. Forest Service.
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thumbnail/thumbnail.png
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288895.27714399999
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| typeKeywords:
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["ArcGIS Server","Data","Image Service","Service"]
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| description:
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<div style='text-align:Left;'><div><div><div style='font-size:12pt'><p style='margin:0 0 0 0;'><span>This dataset is a product of the PNW QWRA 2025. The purpose of the PNW QWRA 2025 is to provide foundational information about wildfire risk across the Pacific Northwest Region (which encompasses the states of Oregon and Washington). Analytics from the QWRA are used to guide vegetation management, fire response, and community planning at multiple scales.</span></p><p><p style='margin:0 0 0 0;'><span><span>A QWRA considers several different components, each resolved spatially across the region, including:</span></span></p><ul><li><p style='margin:0 0 0 0;'><span><span> - likelihood of a fire burning, </span></span></p></li><li><p style='margin:0 0 0 0;'><span><span> - the intensity of a fire if one should occur,</span></span></p></li><li><p style='margin:0 0 0 0;'><span><span> - the exposure of assets and resources based on their locations, and </span></span></p></li><li><p style='margin:0 0 0 0;'><span><span> - the susceptibility of those assets and resources</span></span></p></li></ul><p style='margin:0 0 0 0;'><span /></p><p style='margin:0 0 0 0;'><span>Data users are encouraged to refer to the PNW QWRA 2023 Methods Report for full details: </span><a href='https://oe.oregonexplorer.info/externalcontent/wildfire/PNW_QWRA_2023Methods.pdf' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>https://oe.oregonexplorer.info/externalcontent/wildfire/PNW_QWRA_2023Methods.pdf</span></span></a></p><p style='margin:0 0 0 0;'><span /></p><p style='margin:0 0 0 0;'><span>WildEST results were modified for risk calculations in the PNW QWRA 2025 using an irrigated agriculture mask to assign FLPs to pixels which are likely to be irrigated during fire season. An irrigated agriculture mask was created from LANDFIRE 2.2.0 Fire Behavior Fuel Models (where the model = “NB3”), and data collected from IrrMapper (Ketchum et al., 2020). All NB3 pixels as well as pixels that were classified as irrigated in three of the most recent five years in IrrMapper were included in the irrigated agriculture mask. Pixels in the irrigated agriculture mask were assigned an FLP of 0.75 for flame lengths between 0 – 2 feet, 0.25 for flame lengths 2 – 4 feet, and an FLP of 0 for all intensity values greater than 4 feet. Fire-effects flame-length probability rasters generated in WildEST were used for effects analysis in a landscape wildfire risk assessment, as described in USFS GTR-315.</span></p><p><p style='margin:0 0 0 0;'><span>The PNW QWRA 2025 evaluated risk to eight HVRAs: People and Property, Infrastructure, Drinking Water, Timber, Ecological Integrity, Wildlife Habitat, Agriculture, and Recreation. This data layer, Agriculture eNVC represents risk integrated across all Agriculture sub-HVRAs. The Agriculture HVRA is intended to evaluate wildfire risk to cropland and associated infrastructure. We mapped the extent of croplands using the last five years of Cropscape data from the U.S. Department of Agriculture (USDA-NASS, 2022). All pixels that were considered cultivated were included in the HVRA extent and the most common crop type associated with each cultivated pixel was used to classify the sub-HVRA as either perennial or annual. Sub-HVRAs included:</span></p><p style='text-indent:48;margin:0 0 0 0;'><span><span>1. Perennial crops</span></span></p><p style='text-indent:48;margin:0 0 0 0;'><span><span>2. Annual crops</span></span></p><p><p style='margin:0 0 0 0;'><span><span>Risk is estimated within the QWRA framework by integrating wildfire hazard with HVRA susceptibility (Scott et al., 2013). Risk is calculated for each pixel separately based on the fire hazard data for that pixel and based on which HVRAs are present. Fire impacts to each HVRA are characterized by the estimated change in value, a unitless approximation of whether the HVRA is beneficially or adversely affected by fire and to what magnitude. Accordingly, risk is expressed as net value change (NVC). Net value change is first calculated for all pixels across a sub-HVRA. The NVC for each HVRA is then calculated by summing the NVC of all its constituent sub-HVRAs. Positive values indicate that wildfire is likely to have beneficial impacts on the HVRA while negative values indicate that the net outcomes are likely to be adverse. Risk is calculated based on a very wide range of plausible weather conditions, much wider than the range under which we have typically experienced large fires in the past. The specific conditions under which a wildfire occurs will determine the outcomes. When interpreting QWRA risk results, bear in mind that fire will not always be beneficial in areas with positive NVC values and, likewise, it may be possible to experience beneficial fire in areas with negative NVC values. </span></span></p><p><p style='margin:0 0 0 0;'><span style='font-weight:bold;'><span>Primary Data Contact:</span></span><span><span> Ian Rickert, Regional Fire Planner, Forest Service R6/R10, ian.rickert@usda.gov</span></span></p><p><p style='margin:0 0 0 0;'><span><span>Citations:</span></span></p><p style='margin:0 0 0 0;'><span><span>USDA-NASS, 2022. USDA National Agricultural Statistics Service Cropland Layer (2022). </span></span><a href='https://nassgeodata.gmu.edu/CropScape/' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>https://nassgeodata.gmu.edu/CropScape/</span></span></a></p><p><p style='margin:0 0 0 0;'><span><span>Ketchum, D., Jencso, K., Maneta, M.P., Melton, F., Jones, M.O., Huntington, J., 2020. IrrMapper: A Machine Learning Approach for High Resolution Mapping of Irrigated Agriculture Across the Western U.S. Remote Sensing 12, 2328. </span></span><a href='https://doi.org/10.3390/rs12142328' style='text-decoration:underline;'><span><span>https://doi.org/10.3390/rs12142328</span></span></a></p><p><p style='margin:0 0 0 0;'><span><span>Scott, J.H., Thompson, M.P., Calkin, D.E., 2013. A wildfire risk assessment framework for land and resource management (No. RMRS-GTR-315). U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ft. Collins, CO. </span></span><a href='https://doi.org/10.2737/RMRS-GTR-315' style='text-decoration:underline;'><span><span>https://doi.org/10.2737/RMRS-GTR-315</span></span></a></p><p><p style='margin:0 0 0 0;'><span><span>Finney, M.A., McHugh, C.W., Grenfell, I.C., Riley, K.L., Short, K.C., 2011. A simulation of probabilistic wildfire risk components for the continental United States. Stoch Environ Res Risk Assess 25, 973–1000. </span></span><a href='https://doi.org/10.1007/s00477-011-0462-z' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>https://doi.org/10.1007/s00477-011-0462-z</span></span></a></p></div></div></div></div></p></p></p></p></p></p></p></p>
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<div style='text-align:Left;'><div><div><p style='margin:0 0 14 0;'><span><span>The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. As a work of the United States Government, these data are within the public domain of the United States.</span></span></p><p style='margin:0 0 14 0;'><span><span>Additionally, the U.S. Forest Service waives copyright and related rights in the work worldwide through the CC0 (which can be found at </span></span><a href='https://creativecommons.org/public-domain/cc0/' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>https://creativecommons.org/public-domain/cc0/</span></span></a><span><span>).</span></span></p><p style='font-weight:bold;margin:0 0 14 0;'><span><span>Non-Discrimination Statement</span></span></p><p style='margin:0 0 14 0;'><span><span>In accordance with Federal civil rights law and U.S. Department of Agriculture (USDA) civil rights regulations and policies, the USDA, its Agencies, offices, and employees, and institutions participating in or administering USDA programs are prohibited from discriminating based on race, color, national origin, religion, sex, disability, age, marital status, family/parental status, income derived from a public assistance program, political beliefs, or reprisal or retaliation for prior civil rights activity, in any program or activity conducted or funded by USDA (not all bases apply to all programs). Remedies and complaint filing deadlines vary by program or incident.</span></span></p><p style='margin:0 0 14 0;'><span><span>Persons with disabilities who require alternative means of communication for program information (e.g., Braille, large print, audiotape, American Sign Language, etc.) should contact the State or local Agency that administers the program or contact USDA through the Telecommunications Relay Service at 711 (voice and TTY). Additionally, program information may be made available in languages other than English.</span></span></p><p style='margin:0 0 14 0;'><span><span>To file a program discrimination complaint, complete the USDA Program Discrimination Complaint Form, AD-3027, found online at </span></span><a href='https://www.usda.gov/oascr/how-to-file-a-program-discrimination-complaint' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>How to File a Program Discrimination Complaint</span></span></a><span><span> and at any USDA office or write a letter addressed to USDA and provide in the letter all of the information requested in the form. To request a copy of the complaint form, call (866) 632-9992. Submit your completed form or letter to USDA by: (1) mail: U.S. Department of Agriculture, Office of the Assistant Secretary for Civil Rights, 1400 Independence Avenue, SW, Mail Stop 9410, Washington, D.C. 20250-9410; (2) fax: (202) 690-7442; or (3) email: </span></span><a href='mailto:program.intake@usda.gov' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>program.intake@usda.gov</span></span></a><span><span>.</span></span></p><p style='margin:0 0 14 0;'><span><span>USDA is an equal opportunity provider, employer, and lender.</span></span></p><div style='font-size:12pt'><p style='margin:0 0 0 0;'><span /></p><p style='margin:0 0 0 0;'><span>Oregon State University makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible for verifying the limitations of the geospatial data and using the data accordingly.</span></p></div></div></div></div>
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| title:
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USFS_R6_QWRA_eNVC_AG_30m
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| type:
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Image Service
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| url:
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https://imagery.geoplatform.gov/iipp
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| tags:
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["Image Service","Region 6","R6","United States Wildland Fire Service","USWFS","U.S. Forest Service","USFS","Bureau of Land Management","BLM","Bureau of Indian Affairs","BIA","Tribal","Tribes","US Fish and Wildlife Service","USFWS","Washington Department of Natural Resources","WADNR","Oregon Department of Forestry","ODF","Oregon State Fire Marshall","OSFM","private","Oregon","OR","Washington","WA","wildfire risk","quantitative wildfire risk assessment","QWRA","highly valued resources and assets","HVRA","Pacific Northwest","PNW","expected net value change","eNVC","agriculture"]
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| culture:
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en-US
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| name:
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USFS_R6_QWRA_eNVC_AG_30m
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591657527.591555
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| spatialReference:
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WGS_1984_Web_Mercator_Auxiliary_Sphere
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