Rocky_Jerusalem Fire 4-Class Burn Severity Categorization 2015 08 12

Sep 4, 2015
Uploaded by James Weigand
Description:
Identification_Information:
  Citation:
    Citation_Information:
      Originator: USGS EROS
      Publication_Date: 8/13/2015
      Title: Rocky fire, located about 6 miles east of Lower Lake, CA.Also covers significant portions of the Jerusalem fire adjoining the Rocky fire to the south. There is active fire within the Jerusalem perimeter. Note that there are some BARC classification anomalies associated with the active fire area and areas with heavy smoke. Preview the post fire image to understand where these anomalies could occur.
      Geospatial_Data_Presentation_Form: raster digital data
      Publication_Information:
        Publication_Place: Sioux Falls, South Dakota USA
        Publisher: U.S. Geological Survey
      Online_Linkage: http://edc.usgs.gov
  Description:
    Abstract:  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, accurate in all ecosystems or fires.
    Purpose: These data were created by USGS EROS to support Burned Area Emergency Response (BAER) teams.
    Supplemental_Information:
      Fire Name: Rocky
      Agency: BLM
      Land Management Unit: CA Ukiah FO
      Type of assessment: Immediate Response (BARC)
      Fire size (acres) as listed on the Situation Report: 69;636
      Pre-Fire Landsat Path/Row and Date: Landsat 8 044/033, 7/27/2015
      Post-Fire Landsat Path/Row and Date: Landsat 8 044/033, 8/12/2015
      Output Dataset Projection: UTM
      UTM Zone: 10
      Spheroid Name: WGS84
      Datum: WGS84
      Product List:
     
        rocky_pre754_20150727_l8.img = Pre-Fire Landsat scene.
        rocky_post754_20150812_l8.img = Post-Fire Landsat scene.

        rocky_barc256_20150812-20150727_clip.img = 256-class (0-255) continuous image representing fire severity. This dataset is meant to be adjusted if thevBARC4 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.
 rocky_dnbr1000_20150812-20150727.img = full precision dNBR image in ERDAS Imagine format.
    
 rocky_barc4_20150812-20150727_clip.img = Four category severity classification subset in ERDAS Imagine format with values:
     0 = background/fill
     1 = unchanged / very low (Dark Green)
     2 = low severity (Cyan)
     3 = moderate severity (Yellow)
     4 = high severity (Red)
     5 = enhanced greenness
     6 = No Data (clouds, shadow, data gaps, etc.)
 
     
  Time_Period_of_Content:
    Time_Period_Information:
      Multiple_Dates/Times:
        Single_Date/Time:
          Calendar_Date:
        Single_Date/Time:
          Calendar_Date:
    Currentness_Reference: ground condition
  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: USGS EROS
      Theme_Keyword: Landsat
    Place:
      Place_Keyword_Thesaurus: none
      Place_Keyword: Lower Lake
      Place_Keyword: CA
  Access_Constraints: FTP data sets are available to any user.
  Use_Constraints: There are no restrictions on use, except for reasonable and proper acknowledgement of information sources.
  Data_Set_Credit: USGS EROS
  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 8 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 corrected to Top of Atmosphere reflectance. The Normalized Burn Ratio (NBR) is computed for each date of imagery (Landsat 8 bands) using the following formula:
        (Band 5(NIR) - Band 7(SWIR) / (Band 5 + 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 adjusted within ArcGIS.
        The classes represented on the BARC products are created with thresholds chosen by an analyst at USGS EROS.  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 thresholds used on this particular fire are:
  
 Unchanged: All values   0 - 79
 Low:  All values  80 - 113
 Moderate: All values 114 - 191
 High:  All values 192 - 255
 No Data/Clouds: All values
 
 
        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:
          UTM_Zone_Number:
      Planar_Coordinate_Information:
        Planar_Coordinate_Encoding_Method: row and column
        Coordinate_Representation:
          Abscissa_Resolution:
          Ordinate_Resolution:
        Planar_Distance_Units: meters
    Geodetic_Model:
      Horizontal_Datum_Name:
      Ellipsoid_Name:
      Semi-major_Axis:
      Denominator_of_Flattening_Ratio:
Distribution_Information:
  Resource_Description: Downloadable Data
Metadata_Reference_Information:
  Metadata_Date: 8/13/2015
  Metadata_Contact:
    Contact_Information:
      Contact_Organization_Primary:
        Contact_Organization: USGS EROS
        Contact_Person: Randy McKinley
      Contact_Address:
        Address_Type: 47914 252nd St
        City: Sioux Falls
        State_or_Province: SD
        Postal_Code: 57198
      Contact_Voice_Telephone: 605-594-2745
Data Provided By:
Randy McKinley, U.S. Geological Survey EROS Program, conducted the analysis that yielded this map. James Weigand, Bureau of Land Management California State Office, created the layer package and supplemented metadata for this dataset.
Content date:
Post-fire burn severity on August 12, 2015
Spatial Resolution:
based on the resolution of Landsat imagery
Contact Organization:
U.S. Geological Survey
Contact Person(s):
not specified
Use Constraints:
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 3.0 License.
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About the Uploader

James Weigand
ecologist with BLM

I work on landscape analyses, planning, monitoring, and research in diverse ecosystems (marine, Sonoran Desert, Mojave Desert, Mediterranean chaparral) on BLM public lands in California.