{ "culture": "en-US", "name": "", "guid": "", "catalogPath": "", "snippet": "The purpose of the Pacific Northwest Wildfire Hazard Assessment (PNRA) is to provide foundational information about wildfire hazard across the Pacific...", "description": "

The 2022-capable fuelscape reflects current fuelscape conditions for the year 2022 and includes historical fuel disturbances from 2012-2021, inclusively. The fuelscape consists of geospatial data layers representing surface fuel model, canopy cover, canopy height, canopy base height, and canopy bulk density developed from LANDFIRE Remap 2016 30-m raster data and edited based on feedback from interagency fuels and fire staff across Oregon and Washington.<\/SPAN><\/P>

Topography characteristics were captured using topography data (slope, aspect, and elevation) from the LANDFIRE 2020 (LF2.2.0). <\/SPAN><\/P>

Note: A \u2018greeness\u2019 mask was used to adjsut fuels marked as burnable by LANDFIRE to a nonburnable fuel model. These areas were shown to be irrigated throughout the fire season. Please reference the PNRA 2022 report for more detaild information.<\/SPAN><\/P>

This Fire Behavior Fuel Model 40 dataset may be used as an input for fire modeling purposes. Raster resolution is 30m. <\/SPAN><\/P>

Data finalized 8/29/2022.<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "summary": "The purpose of the Pacific Northwest Wildfire Hazard Assessment (PNRA) is to provide foundational information about wildfire hazard across the Pacific...", "title": "FuelModels", "tags": [], "type": "", "typeKeywords": [], "thumbnail": "", "url": "", "minScale": 150000000, "maxScale": 5000, "spatialReference": "", "accessInformation": "Primary data contact: Ian Rickert (Regional Fire Management Planning Specialist) ian.rickert@usda.gov\n\nThis dataset was developed for The USFS Pacific Northwest Region (R6) by Pyrologix LLC (www.pyrologix.com).", "licenseInfo": "

The user must be aware of data conditions and must ultimately bear responsibility for the appropriate use of the information with respect to possible errors, possible omissions, map scale, data collection methodology, data currency, and other conditions specific to certain data.<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>" }