20170421 22034500 1.0 FALSE DTM5_RL_WebMerc 002 943682.697238 1282052.697238 5563710.829860 5886050.829860 1 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <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/10.5'><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>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> 20170424 09543100 20170424 09543100 Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.0.6491 DTM5_RL_WebMerc 1 8.477246 11.516875 46.655671 44.631607 Elevation Services Elevation Services File Geodatabase Raster Dataset dataset EPSG 8.8(9.3.1.2) Pixel 64468 67674 5.000000 5.000000 32 1 Upper Left FALSE LZ77 1 pixel codes FGDBR TRUE row and column 5.000000 5.000000 20170424 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