20250616 09465100 1.0 FALSE USFS_EDW_TCA_WildfireHazardPotential_HVH -14292440.349600 -7130120.349600 2562955.654400 6887425.654400 1 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.5.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>148923141.92838538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> 4 FALSE None 1 AMD TRUE continuous unsigned integer 100000 100000 1000 20 2048 20 75 0.01 10 600 300 Basic 0 ByAttribute,NorthWest,Center,LockRaster,Nadir,Viewpoint,Seamline,None None,JPEG,LZ77,LERC Basic None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D -1 -1 0.8 1 NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None None,JPEG,LZ77,LERC None,Basic,Full NONE <_docversion_ Sync="TRUE">10 name,minps,maxps,lowps,highps,tag,groupname,productname,centerx,centery,zorder,year,wildfirepotential,stdtime,dimensions,variable,st_area(shape),st_perimeter(shape) 655350 30 65535 45824.6800118056 45824.6800130556 Years name,minps,maxps,lowps,highps,tag,groupname,productname,centerx,centery,zorder,year,wildfirepotential,stdtime,dimensions,variable,st_area(shape),st_perimeter(shape) minps,maxps,lowps,highps,centerx,centery,zorder,st_area(shape),st_perimeter(shape),Year,StdTime 0 1 1 0 0 0 0 0 0 1 StdTime 292029 150000000 5000 20250616 14374500 20250924 13500000 FGDC Scott Cunningham USDA Forest Service Analyst 20250924 The Wildfire Hazard Potential Indicators identify areas of significant fuel buildup and where there is potential for wildfires that may be difficult to manage. This imagery layer contains the high risk metric, where hazard potential is "high" or "very high", for assessment years 2020-2024. <div style='text-align:Left;'><div><div><p style='font-weight:bold;'><a href='https://data.fs.usda.gov/geodata/rastergateway/TCA/TCA_Wildfire_Hazard_High.zip' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Direct Download (Raster Data Gateway)</span></span></a></p><p><span style='font-weight:bold;'><span>Objective:</span></span><span><span> Identify areas where significant fuel buildup has occurred due to fire suppression, extensive mortality due to natural or anthropogenic causes, or for other reasons.</span></span></p><p><span style='font-weight:bold;'><span>Data:</span></span><span><span> The Wildland Hazard Potential (WHP) represents areas of significant fuel buildup. It is an index that quantifies the relative potential for wildfire that may be difficult to manage, and is used as a measure to help prioritize where fuel treatments may be needed. The WHP is a raster geospatial product produced by the USFS Fire Modeling Institute in the Fire, Fuel, and Smoke Program. Higher values have a higher probability of high-intensity fire, with torching, crowning, and other forms of extreme fire behavior. Data used to represent this metric are areas classified as “high” or “very high” risk. A mask for non-burnable areas is applied to focus on ecosystems with vegetation that can be modified through management to reduce hazard.</span></span></p><p><span style='font-weight:bold;'><span>Data Format:</span></span><span><span> Raster data are binary: (1) “high”, or “very high” risk or (0) other</span></span></p><p><span style='font-weight:bold;'><span>Spatial Resolution:</span></span><span><span> 30m (*data for 2023 assessment is 270m)</span></span></p><p><span style='font-weight:bold;'><span>Source data:</span></span><span><span> </span></span><span><span>The WHP data are part of the Wildfire Risk to Communities suite of data along with several other data products. More information on the data used for the 2024 assessment can be found </span></span><a href='https://doi.org/10.2737/RDS-2020-0016-2' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>here</span></span></a><span><span>. Links for data used in previous year TCA assessments: </span></span><a href='https://www.fs.usda.gov/rds/archive/Catalog/RDS-2020-0016' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>2020-2022</span></span></a><span><span> , </span></span><a href='https://www.fs.usda.gov/rds/archive/catalog/RDS-2015-0047-4' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>2023</span></span></a><span><span>. Three different versions of LANDFIRE data were used over the years: LF 2014 NGDA US_140_FRG (2020 and 2021), LF 2016 LC16_BPS_200 (2022 and 2023), and LF 2020 LC20_BPS_220 (2024)</span></span></p><p style='font-weight:bold;'><span><span>Additional Resources:</span></span></p><p><span><span>Details on </span></span><a href='https://usfs.box.com/s/79vx1b42xg8u6ivjombxjes36nzfhgml' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Method Changes and Source Data Versions</span></span></a></p><p><span><span>Overview of the Terrestrial Condition Assessment: </span></span><a href='https://terrestrial-condition-assessment-usfs.hub.arcgis.com/' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>TCA Hubsite</span></span></a><span><span> or </span></span><a href='https://www.youtube.com/watch?v=Kf0P3cAq1rs&amp;list=PLwRbAc4x5n94rLca1CXXuugtRDt_G666M&amp;index=19' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Landfire Office Hour Presentation</span></span></a></p><p><span><span>Explore the results of the most recent assessment: </span></span><a href='https://apps.fs.usda.gov/gtac-toolsms/tca/' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>TCA Interactive Data Viewer</span></span></a></p><p><span><span>Learn more about the TCA KPI: Dashboard link when available </span></span></p></div></div></div> USFS_EDW_TCA_WildfireHazardPotential_HVH Sarah Anderson USDA Forest Service Ecologist Esri ArcGIS 13.5.0.57366 1 -128.391176 -64.050961 52.480221 22.427715 USFS, USDA, GO TCA Terrestrial Condition Assessment Wildfire Hazard High Very High LANDFIRE Geospatial Office USFS <div style='text-align:Left;'><div><div><p><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 users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.</span></span></p><p><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 https://creativecommons.org/public-domain/cc0/).</span></span></p><p style='font-weight:bold;'><span><span>Non-Discrimination Statement</span></span></p><p><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><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><span><span>To file a program discrimination complaint, complete the USDA Program Discrimination Complaint Form, AD-3027, found online at How to File a Program Discrimination Complaint 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: program.intake@usda.gov.</span></span></p><p><span><span>USDA is an equal opportunity provider, employer, and lender.</span></span></p></div></div></div> EPSG 6.18.3(9.3.1.2) 2 1 0 -14292440.349600 2562955.654400 -14292440.349600 6887425.654400 -7130120.349600 6887425.654400 -7130120.349600 2562955.654400 -10711280.349600 4725190.654400 238744 30.000000 144149 30.000000 Band_1 1.000000 1.000000 4 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 data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. 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