20221024 13013300 1.0 FALSE Imagery_2022 509999.000000 566001.000000 4789999.000000 4838001.000000 1 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_UTM_Zone_17N <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/10.8'><WKT>PROJCS[&quot;NAD_1983_UTM_Zone_17N&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;,-81.0],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;,26917]]</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>26917</WKID><LatestWKID>26917</LatestWKID></ProjectedCoordinateSystem> 8 FALSE None 4 AMD TRUE continuous unsigned integer 4100 15000 1000 20 2048 20 75 0.01 10 600 300 Basic 1 NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None JPEG,LZ77,LERC None None,Basic,Base-Top Height,Top-Top Shadow Height,Base-Top Shadow Height,3D -1 -1 0.8 1 NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None None,JPEG,LZ77,LERC None,Basic,Full NaturalColorRGBI <_docversion_ Sync="TRUE">10 Name,MinPS,MaxPS,LowPS,HighPS,Tag,GroupName,ProductName,CenterX,CenterY,ZOrder,Shape_Length,Shape_Area 14580 0.1 291.6 0 1 1 0 -1 0 0 Name 0 20221024 15100700 20221024 14585400 150000000 5000 FGDC 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 20221024 Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 Imagery_2022 1 -80.876799 -80.181004 43.694959 43.259910 Colour 10 cm - 4 Band Raster displaying R,G,B values <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>10cm Imagery collected on 2022-04-22 and 2022-04-28 consisting of the following bands: RGB, PAN, CIR</SPAN></P></DIV></DIV></DIV> First Base Solutions Imagery Region of Waterloo Cambridge Kitchener Waterloo North Dumfries Wellesley Wilmot Woolwich EPSG 6.13(3.0.1) 2 1 0 509999.000000 4789999.000000 509999.000000 4838001.000000 566001.000000 4838001.000000 566001.000000 4789999.000000 538000.000000 4814000.000000 560020 0.100000 480020 0.100000 Red 255.000000 1.000000 8 Green 255.000000 1.000000 8 Blue 255.000000 1.000000 8 Infrared 249.000000 1.000000 8 False False False False False