Identification_Information:
  Citation: 
   Citation_Information
      Originator: USDA Forest Service
        Publication_Date: 20130607
      Publication_Information:
        Publication_Place: Salt Lake City, Utah, USA
        Publisher: U.S. Forest Service
	  Title: BARC Data Bundle for the WHITE Fire occuring on the Los Padres National Forest National Forest - 2013
      Geospatial_Data_Presentation_Form: raster digital data
      Online_Linkage: http://activefiremaps.fs.fed.us/baer/download.php?year=2013

  Description:
    Abstract: These data products are derived from Landsat Thematic Mapper data. The pre-fire and post-fire subsets included were used to create a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire. The severity ratings are influenced by the effects to the canopy.  The severity rating is based upon a composite of the severity to the understory (grass, shrub layers), midstory trees and overstory trees. Because there is often a strong correlation between canopy consumption and soil effects, this algorithm works in many cases for BAER teams whose objective is a soil burn severity assessment.  It is not, however, appropriate in all ecosystems or fires.
    Purpose: These data were created by the USDA Forest Service Remote Sensing Applications Center to support Burned Area Emergency Response (BAER) teams.
    Supplemental_Information:
      Fire Name: WHITE
      Agency: US Forest Service
      Land Management Unit: Los Padres National Forest National Forest 
      Type of assessment: 
      Fire size (acres) as listed on the Situation Report: 1984
      Pre-Fire Landsat Path/Row and Date: Landsat 42/36; 20130520
      Post-Fire Landsat Path/Row and Date: Landsat 42/36; 20130605
      Output Dataset Projection: UTM
      UTM Zone: 11
      Spheroid Name: NAD83

      Product List:

CA3454311980320130527_20130520_20130520_l8_refl_utm.tif = Pre-Fire Landsat reflectance at sensor data subset, scaled by 400 and converted to integer (bands 7,5,4 Tiff format)

CA3454311980320130527_20130520_20130605_l8_refl_utm.tif = Post-Fire Landsat reflectance at sensor data subset, scaled by 400 and converted to integer (bands 7,5,4 Tiff format)

CA3454311980320130527_20130520_20130605__utm.tif = Continuous dNBR product scaled by 1000; theoretical range of values is -2000 to 2000

CA3454311980320130527_20130520_20130605__barc256_utm.tif = 256-class (0-255) continuous image representing fire severity. This dataset is meant to be adjusted if the BARC4 does not provide a good estimate of fire severity. It is anticipated that users will adjust the breakpoints between classes, then recode to their desired 3 or 4 classes.

CA3454311980320130527_20130520_20130605__barc4_utm.tif = Four category severity classification subset values:
            1 = unchanged / very low (Dark Green)
            2 = low severity (Cyan)
            3 = moderate severity (Yellow)
            4 = high severity (Red)

  Time_Period_of_Content:
    Time_Period_Information:
        Single_Date/Time:
          Calendar_Date: 20130520 (pre-fire image), 20130605 (post-fire image)
    Currentness_Reference: Severity data created from post-fire image
  Status:
    Progress: Evaluation of methods in process
    Maintenance_and_Update_Frequency: As needed
  Keywords:
    Theme:
      Theme_Keyword_Thesaurus: none
      Theme_Keyword: Wildland Fire
      Theme_Keyword: Normalized Burn Ratio (NBR)
      Theme_Keyword: Fire Severity
      Theme_Keyword: USDA Forest Service
      Theme_Keyword: Landsat
    Place:
      Place_Keyword_Thesaurus: none
      Place_Keyword: Los Padres National Forest National Forest
      Place_Keyword: WHITE
  Access_Constraints: FTP data sets are available to any user with access to the USFS FSWEB.
  Use_Constraints: There are no restrictions on use, except for reasonable and proper acknowledgement of information sources.
  Data_Set_Credit: USDA Forest Service
  Native_Data_Set_Environment: ERDAS Imagine, ARCInfo
Data_Quality_Information:
  Positional_Accuracy:
    Horizontal_Positional_Accuracy:
      Horizontal_Positional_Accuracy_Report: These data were terrain corrected using a USGS digital elevation model with less than 1/2 pixel RMS error.
  Lineage:
    Process_Step:
      Process_Description:
        These data products are derived from Landsat Thematic Mapper data. Pre-fire and post-fire scenes are 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 Landsat images are terrain corrected and further processed to convert bands 1-5 and 7 to at-sensor-reflectance. The Normalized Burn Ratio (NBR) is computed for each date of imagery using the following formula: 
        (Band 4 - Band 7) / (Band 4 + Band 7) = NBR

        The Differenced NBR is computed to determine severity by subtracting the post-fire NBR from the pre-fire NBR:
        (PreNBR - PostNBR) = dNBR

        The BARC products are a generalization of the raw dNBR dataset. Both BARC products have been resampled to unsigned 8-bit images and are easily viewed and edited within ArcGIS.

        The classes represented on the BARC products are created with thresholds chosen by an analyst at RSAC.  These thresholds can be roughly related back to original dNBR values by multiplying by 5 and then subtracting 275 (for example, a BARC256 value of 100 would relate to a dNBR value of 225).  The BARC thresholds used on this particular fire are:

            Unchanged:    All values less than 65.
            Low:          All values greater than 65 and less than 125.
            Moderate:     All values greater than 125 and less than 187.
            High:         All values greater than 187.

        General descriptions of the severity classes are below:

            Unchanged:    This means the area after the fire was indistinguishable from pre-fire conditions. This does not always indicate the area did not burn.
            Low:          This severity class represents areas of surface fire with little change in cover and little mortality of the dominant vegetation.
            Moderate:     This severity class is between low and high and means there is a mixture of effects on the dominant vegetation.
            High:         This severity class represents areas where the canopy has high to complete consumption.

Spatial_Data_Organization_Information:
  Direct_Spatial_Reference_Method: Raster
  Raster_Object_Information:
    Vertical_Count: 1
Spatial_Reference_Information:
  Horizontal_Coordinate_System_Definition:
    Planar:
      Grid_Coordinate_System:
        Grid_Coordinate_System_Name: Universal Transverse Mercator
        Universal_Transverse_Mercator:
          UTM_Zone_Number: 11
      Planar_Coordinate_Information:
        Planar_Coordinate_Encoding_Method: row and column
        Coordinate_Representation:
          Abscissa_Resolution: 30.000000
          Ordinate_Resolution: 30.000000
        Planar_Distance_Units: meters
    Geodetic_Model:
      Horizontal_Datum_Name: North American Datum of 1983
      Ellipsoid_Name: Geodetic Reference System 80
      Semi-major_Axis: 6378137.000000
      Denominator_of_Flattening_Ratio: 298.257222
Distribution_Information:
  Resource_Description: Downloadable Data
Metadata_Reference_Information:
  Metadata_Date: 20130607
  Metadata_Contact:
    Contact_Information:
      Contact_Organization_Primary:
        Contact_Organization: USDA Forest Service, Remote Sensing Applications Center (RSAC)
        Contact_Person: Carl Albury
      Contact_Address:
        Address_Type: 2222 W. 2300 S.
        City: Salt Lake City
        State_or_Province: UT
        Postal_Code: 84119
      Contact_Voice_Telephone: 801-975-3351
