20150206 09004900 1.0 FGDC CSDGM Metadata FALSE satellite_imagery_LANDSAT_30m_2000 002 1553750.046487 1700350.046487 1661949.664957 1868749.664957 1 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/10.1'><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> 20150331 09113700 20150331 09113700 150000000 5000 FGDC Version 6.2 (Build 9200) ; Esri ArcGIS 10.1.1.3143 satellite_imagery_LANDSAT_30m_2000 1 -106.543511 -106.047025 36.135946 35.567451 LandSat7 EMT+ acquisition date March 13, 2000. 6 bands. imagery Los Alamos County LandSat7 EMT+ acquisition date March 13, 2000. 6 bands. File Geodatabase Raster Dataset dataset ESRI 10.1.1 Pixel 2068 1466 100.000000 100.000000 8 1 Upper Left FALSE LZ77 6 pixel codes FGDBR TRUE row and column 100.000000 100.000000 20150331 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