Identification Information
    Citation
        Originator: USDA Forest Service, Geospatial Technology and Applications Center, BAER Imagery Support Program
        Publication Date: 2017-12-12
        Title: Burned Area Reflectance Classification (BARC) Data Bundle for the CREEK Fire occurring on Angeles 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 Worldview 3 and 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.    
	
	Processing note: Worldview 3 MSI and SWIR data were combined and resampled to 20m to create a product that mimics Sentinel 2a. Because of this, the differenced Normalized Burn Ratio was able to be
			utilized for processing and creation of the BARC datasets. The dNBR values are also quite high, probably due to the mixing of sensors and the BARC256 values do not align with our
			typical value ranges when using Landsat or Sentinel imagery for both pre and post-fire.

Image list:
	prefire - Sentinel 2A 2017-11-30; postfire - Worldview 3 2017-12-07



Product List
	Creek_burn_perimeter.shp:
		Burned area boundary downloaded from Geomac and modified based on the imagery used in this analysis.
	Creek burn severity products.kmz:
		Google Earth format file that contains the burn severity layer, post-fire imagery, and the fire perimeter.
	Creek burn severity.jpeg:
		JPEG image of the classified and colored burn severity
	Creek_s2_20171130_wv3_20171207_barc4.tif: 
    		Four category preliminary estimate of burn severity
	Creek_s2_20171130_wv3_20171207_barc256.tif: 
   		Sentinel 2 derived 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 4 category burn severity classifcation.
	Creek_s2_20171130_wv3_20171207.tif
		Differenced NOrmalized burn ratio product. This product has a range of -2000 to 2000 with higher values correlating to higher burn severity.
	s2_20171130_refl_b5_8a_12.tif
		Sentinel 2 pre-fire image (bands 5, 8a and 12)
	wv3_msi5_7_swir7_refl_clip_utm_20m.tif
		Worldview 3 post-fire image. The MSI and SWIR bands have been combined and this image was resampled to 20m. A georectification process was also completed to register the data to the prefire image.
	Creek prefire s2_20171130_refl_b5_8a_12.jpg: 
   		Sentinel 2 prefire image (JPEG)
	Creek_postfire_WV3_20171207.tif: 
   		WV3 post-fire image (JPEG)
	
Burn Severity class description:

    Value   Description
 	1 = unburned / undetectable (Dark Green)
        2 = low severity (Cyan)
        3 = moderate severity (Yellow)
        4 = high severity (Red)

SBS Thresholds:
	0-160 Unburned
	161-181 Low
	182-215 Moderate
	  >215  High



All files are projected in UTM Zone 11N, WGS84.

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