20210505 20064200 1.0 FALSE Lidar_DSM_1m.mrf 002 310000.000000 360000.000000 5900000.000000 5960000.000000 1 Projected GCS_North_American_1983_CSRS Linear Unit: Meter (1.000000) NAD_1983_CSRS_UTM_Zone_12N <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/2.7.0'><WKT>PROJCS[&quot;NAD_1983_CSRS_UTM_Zone_12N&quot;,GEOGCS[&quot;GCS_North_American_1983_CSRS&quot;,DATUM[&quot;D_North_American_1983_CSRS&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;,-111.0],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;,2956]]</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>2152</WKID><LatestWKID>2956</LatestWKID></ProjectedCoordinateSystem> 32 FALSE LERC 1 MRF TRUE continuous floating point 3.4e+38 20210505 20144000 20210505 20144000 Esri ArcGIS 12.7.0.26828 Lidar_DSM_1m.mrf 1 -113.881969 -113.097450 53.769765 53.215287 1-meter Lidar Digital Terrain Model (Bare Earth), captured in 2018. License: https://open.canada.ca/en/open-government-licence-canada 1-meter Lidar Digital Terrain Model (Bare Earth), captured in 2018. Government of Canada; Natural Resources Canada; Strategic Policy and Results; Canada Centre for Mapping and Earth Observation https://open.canada.ca/en/open-government-licence-canada Lidar Raster Dataset dataset EPSG 6.11(9.3.0.0) 2 1 0 310000.000000 5900000.000000 310000.000000 5960000.000000 360000.000000 5960000.000000 360000.000000 5900000.000000 335000.000000 5930000.000000 50000 1.000000 60000 1.000000 Band_1 32 20210505 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