Identification Information
    Citation
        Originator: USDA Forest Service, Geospatial Technology and Applications Center, BAER Imagery Support Program
        Publication Date: 2017-10-06
        Title: Burned Area Reflectance Classification (BARC) Data Bundle for the PARK CREEK Fire
        Publication Information
            Publication Place: Salt Lake City, Utah, USA
            Publisher: USDA Forest Service
        Geospatial Data Presentation Form: raster digital data
    Description
        Abstract: These data products are preliminary burn severity assessments derived from Sentinel 2 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. It is expected that BAER teams will adjust the thresholds to match field observations to produce a soil burn severity.
        Purpose: These data were created by the USDA Forest Service Geospatial Technology and Applications Center (GTAC) to support Burned Area Emergency Response (BAER) teams.    


NOTES: None.

Product List
	mt4702111269120170715_20160817_20170928_burn_bndy.shp
    		Event perimeter modified from the downloaded GeoMAC perimeter.
	mt4702111269120170715_20160817_20170928_dnbr_barc256.tif: 
    		BARC256, 256-class (0-255); continuous image representing preliminary estimate of burn severity. This dataset can be adjusted by the user, if needed, to refine the thematic BARC4 product and/or define a new BARC4. It is anticipated that users will adjust the breakpoints between classes, then recode to their desired 3 or 4 classes.
	mt4702111269120170715_20160817_20170928_dnbr_barc4.tif: 
    		BARC4,  Four category preliminary estimate severity classification.
	mt4702111269120170715_20160817_20170928_dnbr.tif: 
    		Continuous dNBR product scaled by 1000; theoretical range of values is -2000 to 2000
	mt4702111269120170715_20160817_s2_refl.tif: 
   		Pre-Fire Sentinel 2 reflectance at sensor data subset (08/17/2016),  band order (1-3): SWIR, NIR, Red (Sentinel 2 bands 12, 8a, 5). 
	mt4702111269120170715_20170928_s2_refl.tif: 
    		Post-Fire Sentinel 2 reflectance at sensor data subset (09/28/2017),  band order (1-3): SWIR, NIR, Red (Sentinel 2 bands 12, 8a, 5).

BARC256 Thresholds:
	0-82 Unburned
	82-116 Low
	116-194 Moderate
	194-255 High

All files are projected in UTM Zone 12N, WGS84

Contact: 
    	Justin Epting
    	jepting@fs.fed.us
    	(801) 975-3755   

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The following section should be completed after the BARC has been field validated by the BAER team and this entire metadata file should be returned to GTAC with the Soil Burn Severity data.
    
    BAER Assessment Completion Date:
    BAER Team GIS Analyst:
    BAER Team Leader:  Marci Gerhardt
    Soil Burn Severity Analyst(s):  Megan McGinnis
    
    Original BARC256 thresholds:
        Unburned / Undetectable: <=82
        Low: >82 and <=116
        Moderate: >116 and <=194
        High: >194
        
    Soil Burn Severity thresholds:
        Unburned / Undetectable:  <=89
        Low:  >89 and <=166
        Moderate:  >166 and <=213
        High:  >213

	There were no other adjustments made to the final BARC
        
    Sequence of steps used to create Soil Burn Severity data:
    
    Additional Comments: