20121003 09091700 1.0 FALSE WestOfHudson_Greene_2_meter 002 466500.000000 601500.000000 4624500.000000 4703250.000000 1 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_UTM_Zone_18N <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_UTM_Zone_18N&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&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;,500000.0],PARAMETER[&quot;false_northing&quot;,0.0],PARAMETER[&quot;central_meridian&quot;,-75.0],PARAMETER[&quot;scale_factor&quot;,0.9996],PARAMETER[&quot;latitude_of_origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26918]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26918</WKID><LatestWKID>26918</LatestWKID></ProjectedCoordinateSystem> 20150617 09041200 20150617 09041200 Esri ArcGIS 10.1.0.3035 WestOfHudson_Greene_2_meter 1 -75.407586 -73.765199 42.481600 41.765851 NYSGPO_WestOfHudson2009_Greene2010_2_meter NYSGPO_WestOfHudson2009_Greene2010_2_meter NYSGPO_WestOfHudson2009_Greene2010_2_meter File Geodatabase Raster Dataset dataset EPSG 7.9.4 Pixel 39375 67500 2.000000 2.000000 32 1 Upper Left FALSE LZ77 1 pixel codes FGDBR TRUE row and column 2.000000 2.000000 20150617 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