{
 "culture": "en-US",
 "name": "BAER_SoilBurnSeverityClassification",
 "guid": "",
 "catalogPath": "",
 "snippet": "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).",
 "description": "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.",
 "summary": "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).",
 "title": "BAER_SoilBurnSeverityClassification",
 "tags": [
  "Soils",
  "Fire Severity",
  "BARC",
  "BAER",
  "Wildland Fire",
  "dNBR",
  "Wildfire",
  "USDA Forest Service",
  "Burned Area Emergency Response",
  "Burn Severity",
  "30 meter pixel"
 ],
 "type": "Image Service",
 "typeKeywords": [
  "ArcGIS Server",
  "Data",
  "Image Service",
  "Service"
 ],
 "thumbnail": "",
 "url": "",
 "minScale": "NaN",
 "maxScale": "NaN",
 "spatialReference": "",
 "accessInformation": "BAER Imagery Support Program: baerimagery@fs.fed.us",
 "licenseInfo": "There are no restrictions on use, except for reasonable and proper acknowledgement of information sources and limitations as preliminary/draft data. 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.",
 "portalUrl": ""
}