Identification Information
    Citation
        Originator: USDA Forest Service, Geospatial Technology and Applications Center, BAER Imagery Support Program
        Publication Date: 2017-06-24
        Title: Burned Area Reflectance Classification (BARC) Data Bundle for the HOLCOMB Fire occurring on the San Bernardino NF - 2017
        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.    


Product List
	holcomb_perimeter_20170623_UTM.shp
    		Event perimeter downloaded from GeoMAC
	Holcomb burn severity data.kmz
		Google Earth format file that contains the burn severity (BARC4) layer as well as the perimeter and post-fire reflectance image.
	s2_20170613_20170623_holcomb_barc4.tif: 
    		BARC4,  Four category preliminary estimate severity classification.
	s2_20170613_20170623_holcomb_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.
	s2_20170613_20170623_holcomb_dnbr.tif: 
    		Continuous dNBR product scaled by 1000; theoretical range of values is -2000 to 2000
	s2_20170613_refl_b12_b8a_b5_holcomb_clip.tif: 
   		Pre-Fire Sentinel 2 reflectance image subset, acquired on 06/13/2017. Band order (1-3): SWIR, NIR, Red (Sentinel 2 bands 12, 8a, 5).
	holcomb_prefire_image.jpeg
		JPEG version of the prefire Sentinel image
	s2_20170623_refl_b12_b8a_b5_holcomb_clip.tif 
    		Post-Fire Sentinel 2 reflectance image subset, acquired on 06/23/2017. Band order (1-3): SWIR, NIR, Red (Sentinel 2 bands 12, 8a, 5).
	holcomb_postfire_image.jpeg
		JPEG version of the postfire Sentinel image


All files are projected in UTM Zone 11N, 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: June 30, 2017
    BAER Team GIS Analyst: Tracy Tennant
    BAER Team Leader: Emily Fudge
    Soil Burn Severity Analyst(s): Bill Wells
    
        
    Soil Burn Severity thresholds:
        Unburned / Undetectable: 0-68
        Low: 69-102
        Moderate: 103-146
        High: 147-255
        
    Sequence of steps used to create Soil Burn Severity data: Original BARC thresholds were plotted on topographic maps and field validated. No adjustments
    to the original BARC thresholds were deemed necessary.
    
    Additional Comments: