Identification Information Citation Originator: USDA Forest Service, Geospatial Technology and Applications Center, BAER Imagery Support Program Publication Date: 2017-07-07 Title: Burned Area Reflectance Classification (BARC) Data Bundle for the Brianhead Fire occurring on the Dixie 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 mask.shp A mask file depicting areas where clouds and cloud shadow obscured accurate representation of burn severity. Active fire is also included in the mask so as not to create false high severity readings. Brianhead burn severity data.kmz Google Earth format file that contains the burn severity (BARC4) layer as well as the perimeter and reflectance images. s2_20160607_20170630_brianhead_barc4.tif: BARC4, Four category preliminary estimate burn severity classification. s2_20160607_20170630_brianhead_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_20160607_20170630_brianhead_dnbr.tif: Continuous dNBR product scaled by 1000; theoretical range of values is -2000 to 2000 s2_20160607_refl_b12_b8a_b5_clip.tif: Pre-Fire Sentinel 2 reflectance image subset, acquired on 06/07/2016. Band order (1-3): SWIR, NIR, Red (Sentinel 2 bands 12, 8a, 5). S2_prefire_image.jpeg JPEG version of the prefire Sentinel image s2_20170630_refl_b12_b8a_b5_clip.tif Post-Fire Sentinel 2 reflectance image subset, acquired on 06/30/2017. Band order (1-3): SWIR, NIR, Red (Sentinel 2 bands 12, 8a, 5). S2_postfire_image.jpeg JPEG version of the postfire Sentinel image BARC256 Thresholds: 0-65 Unburned 66-108 Low 109-177 Moderate 178-255 High All files are projected in UTM Zone 13N, WGS84 Contact: Justin Epting jepting@fs.fed.us (801) 975-3755 ******************************************************************************** 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: 7/9/2017 BAER Team GIS Analyst: Laurie Parry BAER Team Leader: Brendan Waterman Soil Burn Severity Analyst(s): Robert Davison, Stacy Weems Soil Burn Severity thresholds: 0-65 Unburned / Undetectable: 66-108 Low: 109-170 Moderate: 171-255 High: Sequence of steps used to create Soil Burn Severity data: There are two satellite images and a small area that was digitized based on field observations. The thresholds were changed to more accurately reflect the areas of higher burn severity. Additional Comments: