20250506 13190500 1.0 FALSE USFS_EDW_TCA_UncharacteristicFireSeverityModerate -14230291.674500 -7309321.674500 2694520.080300 6678400.080300 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/3.2.0'><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 NorthWest,Center,LockRaster,ByAttribute,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,beginyear,endyear,st_area(shape),st_perimeter(shape) 307200 30 30720 name,minps,maxps,lowps,highps,tag,groupname,productname,centerx,centery,zorder,beginyear,endyear,st_area(shape),st_perimeter(shape) minps,maxps,lowps,highps,centerx,centery,zorder,st_area(shape),st_perimeter(shape) -1 1 1 0 0 0 0 -1 beginyear endyear YYYY 0 Years Thematic FGDC 20250509 14144500 20260109 11381700 150000000 5000 Scott Cunningham US Forest Service, RedCastle Resources Geospatial Analyst scott.cunningham@usda.gov 20260109 The TCA Uncharacteristic Disturbance indicators utilize two metrics (low and moderate) that identify areas burning more severely than expected based on Monitoring Trends in Burn Severity data. This time-enabled imagery layer contains moderate severity uncharacteristic disturbance for assessment years 2020-2025. <div style='text-align:Left;'><div><div><p style='font-weight:bold;'><a href='https://data.fs.usda.gov/geodata/rastergateway/TCA/TCA_Uncharacteristic_Disturbance_Mod.zip' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>Direct Download (Raster Data Gateway)</span></span></a><span style='text-decoration:underline;'><span> </span></span></p><p><span style='font-weight:bold;'><span>Objective:</span></span><span><span> The TCA Uncharacteristic Disturbance Indicator identifies locations that have had recent catastrophic disturbance including uncharacteristically severe wildfires resulting in needs for reforestation, revegetation or other restoration work. Potential exists to include other major disturbances (e.g., landslides).</span></span></p><p><span style='font-weight:bold;'><span>Data:</span></span><span> The LANDFIRE Biophysical Settings (BpS) raster datasets (LF16_BPS_200) were combined with the Monitoring Trends in Burn Severity (MTBS) data (1984-most recent) and Composite Burn Index (Parks et al. 2018) data for the year prior to the assessment year derived from NIFC Fire Perimeters (1000 ac West, 500 ac East) to identify areas that have experienced unnaturally severe wildfires in the recent past, since 1984. The CBI data serves as a bridge until MTBS data are available- for example, for the 2024 TCA assessment, MTBS data from 1984-2022 and CBI data from 2023 was used. The “Moderate severity” metric (layer) represents areas mapped with a dominant condition of mixed severity fire (based on BpS) but had a high severity MTBS fire in that location.</span></p><p><span style='font-weight:bold;'><span>Data Format:</span></span><span><span> Raster data are binary: (1) “unnaturally severe fire” or (0) other</span></span></p><p><span style='font-weight:bold;'><span>Spatial Resolution:</span></span><span><span> 30m</span></span></p><p><span style='font-weight:bold;'><span>Source data: </span></span><a href='http://mtbs.gov/' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>MTBS </span></span><span style='text-decoration:underline;'><span>fire severity</span></span></a><span><span>, </span></span><a href='https://landfire.gov/fire-regime/pfs' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>expected fire severity</span></span></a><span><span> , </span></span><a href='https://www.mdpi.com/2072-4292/11/14/1735' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>CBI methods</span></span></a><span><span>, </span></span><a href='https://data-nifc.opendata.arcgis.com/datasets/nifc::wfigs-interagency-fire-perimeters/about' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>National Interagency Fire Center Perimeters</span></span></a><span><span> (for CBI)</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_UncharacteristicFireSeverityModerate 2026-01-09T00:00:00 <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>USDA is an equal opportunity provider, employer, and lender.</span></p></div></div></div> USDA - GEO; USDA - USFS – Geospatial Office (GO) Environment TCA Terrestrial Condition Assessment Wildfire MTBS Moderate Severity US Forest Service USFS IIPP Interdepartmental Imagery Publication Platform Enterprise Data Warehouse EDW Esri ArcGIS 13.2.0.49743 1 -127.832885 -65.660754 51.321716 23.515832 Scott Cunningham US Forest Service, RedCastle Resources Geospatial Analyst scott.cunningham@usda.gov Scott Cunningham 2 1 0 -14230291.674500 2694520.080300 -14230291.674500 6678400.080300 -7309321.674500 6678400.080300 -7309321.674500 2694520.080300 -10769806.674500 4686460.080300 230699 30.000000 132796 30.000000 EPSG 6.18.3(9.3.1.2) Band_1 4 1.000000 1.000000 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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