20250228 10311900 1.0 FGDC CSDGM Metadata FALSE Fire_soil_burn_severity_Cerro_Pelado_2022 1533108.655394 1601710.880394 1696218.094908 1766690.394908 1 002 Projected GCS_NAD_1983_CORS96 Linear Unit: Foot_US (0.304801) NAD_1983_CORS96_StatePlane_New_Mexico_Central_FIPS_3002_Ft_US <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>PROJCS[&quot;NAD_1983_CORS96_StatePlane_New_Mexico_Central_FIPS_3002_Ft_US&quot;,GEOGCS[&quot;GCS_NAD_1983_CORS96&quot;,DATUM[&quot;D_NAD_1983_CORS96&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,1640416.666666667],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-106.25],PARAMETER[&quot;Scale_Factor&quot;,0.9999],PARAMETER[&quot;Latitude_Of_Origin&quot;,31.0],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;Esri&quot;,103490]]</WKT><XOrigin>-16806300</XOrigin><YOrigin>-44067200</YOrigin><XYScale>137255279.03396165</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103490</WKID><LatestWKID>103490</LatestWKID></ProjectedCoordinateSystem> 20250228 11031900 20250228 11081600 150000000 5000 FGDC SDE_VAT_29 Table 4 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Value Value Integer 4 10 0 Count_ Count_ Double 8 38 8 ArcGIS Metadata 1.0 Version 6.2 (Build 9200) ; Esri ArcGIS 10.9.1.28388 Soil Burn Severity Dataset for the cerro pelado Fire occurring on the Santa Fe National Forest National Forest 1 -106.612131 -106.380305 35.855494 35.661411 These data were created by the USDA Forest Service Geospatial Technology and Applications Center (GTAC) to support Burned Area Emergency Response (BAER) teams. <DIV STYLE="text-align:Left;"><DIV><P><SPAN>This soil burn severity dataset was derived from Sentinel 2 data and field validated by a Forest Service Burned Area Emergency Response (BAER) team. It is based upon an initial Burned Area Reflectance Classification (BARC) dataset created by analyzing satellite imagery. A pre-fire and post-fire Sentinel 2 scene were processed to develop a differenced Normalized Burn Ratio (dNBR) image. The dNBR image attempts to portray the variation of burn severity within a fire and captures the combined effects of the fire to vegetation and soil components of the ecosytem. The preliminary BARC dataset was assessed by a Forest Service BAER team and modified, if necessary, based on field conditions.</SPAN></P></DIV></DIV> USDA Forest Service Wildland Fire Wildfire Burned Area Emergency Response dNBR Fire Severity Burn Severity USDA Forest Service NM Cerro Pelado fire Raster Dataset dataset Esri 10.0.0 Pixel 716 697 98.425000 98.425000 8 1 Upper Left FALSE LZ77 1 pixel codes SDR FALSE row and column 98.425000 98.425000 20250228 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