BARC Source Data USDA Forest Service, Remote Sensing Application Center; Derived burn severity data Silver Fire BAER Team 2013/07/08 vector digital data \\ds.fs.fed.us\EFS\FS\NFS\Gila\Project\SO\SilverFire2013\GIS\BAER_Assessmt\Data\BARC_BurnSeverity\Severity\SilverFireSeverity_BARCDerived_0621_0707_0704_20130709.shp SilverFireSeverity_BARCDerived_0621_0707_0704_20130709 Vectorized version of the raster dataset descibed below (Conversion > Raster to Polygon > No Simplify > Dissolve on Severity). This dataset represents an estimation of burn severity for the Silver Fire on the Gila National Forest as of 7/7/2013. It was derived from 3 BARC (Burned Area Reflectance Classification) remotely sensed data source products, as well as, modifications to the BARC data based on field observation. Three BARC datasets were mosaicked together in the following order of preference: 1) Landsat 7 acquired post-fire image of 06/21/2013 2) Landsat 7 acquired post-fire image of 07/07/2013 3) SPOT acquired post-fire image of 07/04/2013 Large portions of the Landsat 7 07/07 imagery were obscured by cloud cover so the 07/04 SPOT data (also obscured by significant cloud cover) and polygons digitized based on field observation were used to supplement the 07/07 imagery. After the mosaicking operation was performed to provide the best estimate of burn severity for the entire perimeter, the Spatial Analyst > Generalization > Majority Filter (Neighbors=4, Threshold=Majority) was applied to remove isolated cell values. Detail on the classification & processing of the BARC products: 1)"NM3288810780920130607_20130528_20130621_dnbr_barc256_utm.tif" Clipped to the 06/22 IR perimeter and manaully edited to remove areas on the edge of the perimeter not yet burned on 06/21 and an area in the northeast perimer (as of 06/22) that was obscured by smoke. Spatial Analyst > Generalization > Nibble was used to fill Landsat 7 data gaps. Reclassed as follows: Unburned/Very Low = 0-75 Low = 76-84 Moderate = 85-149 High = 150-255 2)"NM3288810780920130607_20130528_20130707_dnbr_barc256_utm.tif" Clipped to the 07/06 2045 hrs IR perimter and used Nibble tool to remove Landsat 7 data gaps. Removed areas obscured by cloud cover using cloud mask data provided by RSAC. Reclassed as follows using same classes as the RSAC BARC4: Unburned/Very Low = 0-63 Low = 63-118 Moderate = 118-203 High = 203-255 3)"NM3288810780920130607_20130528_20130704_dndvi_barc256_utm.tif" Clipped to 07/04 0800 hrs perimeter and reclassed as follows: Unburned/Very Low = 1-62 Low = 62-98 Moderate = 98-120 High = 120-188 Detail on digitized field observation based edits: Modifications to the 06/21 BARC-derived burn severity used in Phase 1 and collected by 06/22: High Severity - 262 acres (2 polygons) Moderate Severity - 133 acres (1 polygon) Modifications to the 07/04 & 07/07 BARC-derived burn severity used in Phase 2 and collected by 07/07: High Severity - 2,601 acres (17 polygons) Moderate Severity - 983 acres (8 polygons) Low Severity - 73 acres (3 polygons) The majority of these field based modifications were made in areas where the Landsat 7 07/07 image was obscured by cloud cover. These data were created to represent an estimation of soil burn severity for Silver Fire Burned Area Emergency Response (BAER) Team efforts. Detail on remotely sensed source BARC products: These data products are derived from Landsat Thematic Mapper 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. Fire Name: SILVER Agency: US Forest Service Land Management Unit: Gila National Forest Type of assessment: Emergency Fire size (acres); as listed on the Situation Report: 36500 Pre-Fire Path/Row and Date: 34/37; 2013-05-28 Post-Fire Path/Row and Date: 34/37; 2013-06-21 Output Dataset Projection: UTM UTM Zone: 13 Spheroid Name: NAD83 Fire Name: SILVER Agency: US Forest Service Land Management Unit: Gila National Forest Type of assessment: Emergency Fire size (acres); as listed on the Situation Report: 138546 Pre-Fire Path/Row and Date: 34/37; 2013-05-28 Post-Fire Path/Row and Date: 34/37; 2013-07-07 Output Dataset Projection: UTM UTM Zone: 13 Spheroid Name: NAD83 These data products are derived from SPOT data. The pre-fire and post-fire subsets included were used to create a differenced Normalized Difference Vegetation Index (dNDVI) image. The dNDVI 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. Fire Name: SILVER Agency: US Forest Service Land Management Unit: Gila National Forest Type of assessment: Emergency Fire size (acres); as listed on the Situation Report: 137326 Pre-Fire Path/Row and Date: 34/37; 2013-05-28 Post-Fire Path/Row and Date: NA/NA; 2013-07-04 Output Dataset Projection: UTM UTM Zone: 13 Spheroid Name: NAD83 en 2013/07/07 ground condition Complete As needed -107.983656 -107.680227 33.173118 32.803169 221752.992148249050.3158803633377.6153813673705.369040 REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. Silver Fire Burn Severity BAER Gila National Forest Southwest Region New Mexico Black Range Ranger District Silver City Ranger District Wilderness Ranger District None Comparison with other data sets for the same area from other time periods may be inaccurate due to inconsistencies resulting from changes in photo interpretation, rounding of decimal coordinates during conversion, and mapping conventions over time. Any hardcopies utilizing these data sets shall clearly indicate their source. If the user has modified the data in any way, they are obligated to describe the types of modifications they have performed on the hardcopy map. The user specifically agrees not to misrepresent these data sets, nor to imply that changes made were approved by the USFS. USDA Forest Service, Southwest Region, Gila National Forest Brian Park Silver Fire BAER Team GIS Specialist mailing and physical address

3005 E. Camino del Bosque

Silver City New Mexico 88061 USA 575-388-8397 575-388-8204 0800 - 1700 M-F, Mountain Daylight Saving Time Microsoft Windows Vista Version 6.0 (Build 6002) Service Pack 2; ESRI ArcCatalog 9.3.1.4000 Shapefile Metadata imported. C:\DOCUME~1\bgpark\LOCALS~1\Temp\xml8.tmp 20110112 17163100 Metadata imported. C:\Users\bgpark\AppData\Local\Temp\xml74B.tmp 20130617 17524500 Metadata imported. C:\Users\bgpark\AppData\Local\Temp\xmlB60F.tmp 20130623 16490000 Metadata imported. C:\Users\bgpark\AppData\Local\Temp\xml6F62.tmp 20130708 19301300 Metadata imported. C:\Users\bgpark\AppData\Local\Temp\xmlF1DD.tmp 20130709 14272800 Metadata imported.C:\Users\bgpark\AppData\Local\Temp\xml6421.tmp2013070914300900 Vector G-polygon 5 SimplePolygonFALSE5TRUEFALSE coordinate pair 0.000000 0.000000 meters Universal Transverse Mercator130.999600-105.0000000.000000500000.0000000.000000 North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 GCS_North_American_1983NAD_1983_UTM_Zone_13N 0.000100 Explicit elevation coordinate included with horizontal coordinates SilverFireSeverity_BARCDerived_0621_0707_0704_20130709 Feature Class5 FIDFIDOID400Internal feature number.ESRISequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Coordinates defining the features. ShapeGeometry000 grid_code grid_codeNumber9 Severity SeverityString30 Shape_LengShape_LengFloat1911 Shape_Area Area of feature in internal units squared. ESRI Positive real numbers that are automatically generated. Shape_AreaFloat1911 SeverityAcSeverityAcFloat1311SeverityPeSeverityPeFloat1311 Downloadable Data 0.000 4.783 20130709 USDA Forest Service, Southwest Region, Gila National Forest Brian Park GIS Specialist mailing and physical address

3005 E. Camino del Bosque

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