20160712 16010500 1.0 FALSE Fema_Great_Lakes_Chautauqua_Subset_1_meter 002 106893.000000 165500.000000 4685737.000000 4721745.000000 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/10.3'><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> 20160712 16010600 20160712 16010600 Esri ArcGIS 10.3.1.4959 Fema_Great_Lakes_Chautauqua_Subset_1_meter 1 -79.787479 -79.054714 42.575610 42.224863 FEMA_GreatLakesChautauqua2014_1_meter FEMA_GreatLakesChautauqua2014_1_meter FEMA_GreatLakesChautauqua2014_1_meter File Geodatabase Raster Dataset dataset EPSG 8.6.2 Pixel 36008 58607 1.000000 1.000000 32 1 Upper Left FALSE LZ77 1 pixel codes FGDBR TRUE row and column 1.000000 1.000000 20160712 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