20130812 08364500 1.0 FALSE SKAGITCOUNTY2006_WEB 002 -13674080.629356 -13426307.770611 6141370.644373 6229237.241001 1 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) <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/10.0'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>148923141.92838538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.00020000000000000001</ZTolerance><MTolerance>0.00020000000000000001</MTolerance><HighPrecision>true</HighPrecision><WKID>3857</WKID></ProjectedCoordinateSystem> WGS_1984_Web_Mercator_Auxiliary_Sphere 20130904 16133400 20130904 16133400 ESRI ArcGIS 10.0.5.4400 IMAGE.SDEADM.SKAGITCOUNTY2006_WEB 1 -122.836356 -120.610575 48.730389 48.207054 Skagit County 2006 aerial. skagit aerial imagery Skagit County 2006 aerial. Raster Dataset dataset EPSG 7.4.1 Pixel 57166 161201 1.537043 1.537043 8 1 Upper Left FALSE LZ77 3 pixel codes SDR TRUE row and column 1.537043 1.537043 20130904 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