20250811 13471800 1.0 FALSE A_USFS_EDW_BAER_SoilBurnSeverityClassification -13855856.934800 -8561484.934800 3690355.859500 6450607.859500 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 100 75 0.01 10 600 300 Basic 1 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,st_area(shape),st_perimeter(shape),beginyear,endyear -1 Generic 4 65536 0 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),beginyear,endyear -1 1 1 0 0 0 -1 beginyear endyear YYYY 0 Years 150000000 5000 20250811 14253300 20251120 11584100 FGDC USFS Chief Information Office, Enterprise Data Warehouse Please send an e-mail to the address below. Washington DC 20250 SM.FS.data@usda.gov 20251120 ArcGIS Metadata 1.0 https://fsapps.nwcg.gov/baer/baer-imagery-support-data-download USFS_EDW_BAER_SoilBurnSeverityClassification 2019-05-06 USDA Forest Service BAER Imagery Support Program Geospatial Technology and Applications Center raster digital data <div style='text-align:Left;'><div><div><p><span>The USDA Forest Service Burned Area Emergency Response (BAER) Imagery Support program produces geospatial data of post-fire burn severities using standardized change detection methods based on Landsat, Sentinel-2, or similar multispectral satellite imagery. The BAER Imagery Support program provides an initial Burned Area Reflectance Classification (BARC) product to BAER teams. The BARC is a preliminary vegetation burn severity product which assesses severity based on the magnitude of detectable change to above ground biomass. The BAER teams collect field data on post-fire soil conditions that is used with the BARC to create the final soil burn severity (SBS) classification product for each BAER assessment. The SBS data is preferred for sharing publicly since it has been validated by the BAER team in the field. BAER teams use the soil burn severity product to assess the need for and application of emergency soil stabilization treatments following a wildfire. National mosaics compiling SBS classification products from individual BAER assessments are prepared on an annual basis. This SBS dataset is a compilation of final burn severity data products created by USDA Forest Service BAER teams from 2017 through the most recent completed fire year. It is a thematic raster dataset with four burn severity classes: unburned to very low, low, moderate, and high. The spatial resolution is variable based on the imagery used to create the initial BARC product and subsequent processing by the BAER teams. Datasets are typically 30m for Landsat assessments and 20m for Sentinel-2 assessments.</span></p></div></div></div> Soil Burn Severity Classification for all USDA Forest Service Burned Area Emergency Response incidents from 2017 through the most recent completed fire year. These data were created by Burned Area Emergency Response (BAER) teams using data derived from an initial Burned Area Reflectance Classification (BARC) provided by the USDA Forest Service Geospatial Technology and Applications Center (GTAC). BAER Imagery Support Program: baerimagery@fs.fed.us USFS Chief Information Office, Enterprise Data Warehouse Please send an e-mail to the address below. Washington DC 20250 US SM.FS.data@usda.gov ISO 19115 Topic Categories Soils Fire Severity BARC BAER Wildland Fire dNBR Wildfire USDA Forest Service Burned Area Emergency Response Burn Severity 30 meter pixel BAER Soils Fire Severity BARC BAER Wildland Fire dNBR Wildfire USDA Forest Service Burned Area Emergency Response Burn Severity 30 meter pixel 2017 2018 2019 2020 2021 2022 2023 2024 2025 <div style='text-align:Left;'><div><div><p><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 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></p><p><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></p><p><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></p><p><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></p><p><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></p><p><span /></p><p><span>USDA is an equal opportunity provider, employer, and lender. </span></p></div></div></div> The U.S. Forest Service makes no warranty, express or implied, nor assumes any liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data or for the improper or incorrect use of those data. The data are dynamic and may change over time. The user is responsible for verifying the limitations of the geospatial data and for using the data accordingly. Esri ArcGIS 10.3.1.5004 true -126.767231 -104.163759 50.516032 31.637226 Data are current to the date of publication. 2018-01-01 2018-12-31 Each individual soil burn severity dataset was derived from satellite imagery, primarily Landsat 8 and Sentinel 2, and field validated by a Forest Service Burned Area Emergency Response (BAER) team. It is based upon an initial Burned Area Reflectance Classification (BARC). The BARC is created by analyzing pre-fire and post-fire satellite scenes and then calculating a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire and captures the combined effects of the fire to vegetation and soil components of the ecosystem. Additional documentation on BARC products is available at: https://www.fs.fed.us/eng/rsac/baer/barc.html. The preliminary BARC dataset was assessed by a Forest Service BAER team and modified, if necessary, based on field conditions. 1 -124.469281 -76.909128 50.025008 31.442541 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025 This dataset is derived from either Landsat 8 or Sentinel 2 satellite imagery. Both of those platforms maintain robust data quality controls. The U.S. Geological Survey tests and calibrates Landsat 8 data on an on-going basis and the European Space Agency does the same for Sentinel 2 data. Adjustments to either the onboard sensors or the processing of the data stream are made when any issue regarding the integrity of the image quality is found. In addition, both platforms include an image quality band for reference. Landsat 8 and Sentinel 2 data are terrain corrected using ground control points and processed to an RMSE of less than 1/2 pixel. Data is complete as of publication. The horizontal positional accuracy of both sensors is less than 0.5 pixels, meaning the data are aligned with the earth such that they are mis-registered by no more than 10-15m. These data products are derived from Landsat 8 and Sentinel 2 data. Pre-fire and post-fire scenes were analyzed to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image portrays the variation of burn severity within the fire. The pre- and post-fire images are terrain corrected and further processed to convert top of atmosphere reflectance. The Normalized Burn Ratio (NBR) is computed for the pre- and post-fire images using the following formula: (NIR Band - SWIR Band) / (NIR Band + SWIR Band) = NBR. 2019-01-01 2 61524 4.000000 51525 4.000000 1 0 -13855856.934800 3690355.859500 -13855856.934800 6450607.859500 -8561484.934800 6450607.859500 -8561484.934800 3690355.859500 -11208670.934800 5070481.859500 EPSG 6.18.3(9.3.1.2) Band_1 4 2018_sbs_usfs_baer.tif A spatial data model that defines space as an array of equally sized cells arranged in rows and columns, and composed of single or multiple bands. Each cell contains an attribute value and location coordinates. Unlike a vector structure, which stores coordinates explicitly, raster coordinates are contained in the ordering of the matrix. Groups of cells that share the same value represent the same type of geographic feature. Esri GIS Data Dictionary OID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Value Severity class U.S. Forest Service 1 Class 1 - Unburned to very low: The area after the fire was indistinguishable from pre-fire conditions. This does not always indicate the area did not burn (i.e. canopy may be occluding the burn signal). U.S. Forest Service 2 Class 2 - Low: Areas of surface fire with little detected change in cover and little detected mortality of the dominant vegetation. Little to no change in the soil color, structure and condition occurred. U.S. Forest Service 3 Class 3 - Moderate: This severity class is between low and high and means there is a mixture of detected effects on the dominant vegetation. U.S. Forest Service 4 Class 4 - High: Areas where the canopy has high to complete consumption. Changes to soil structure, color and condition are significant and hydrophobicity may have occurred. U.S. Forest Service Count The number of cells in the raster dataset with the cell value in the VALUE column. Esri Integer Opacity Indicates the values that should be displayed as transparent. U.S. Forest Service 0 Display with 100% transparency U.S. Forest Service 1 Display with 0% transparency U.S. Forest Service 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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. 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/).