20210505 15264700 1.0 FALSE DSM_Mosaic.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 18465700 20210505 18465700 Esri ArcGIS 12.7.0.26828 DSM_Mosaic.mrf 1 -113.881969 -113.097450 53.769765 53.215287 1-meter Lidar Digital Surface Model (Full Feature), captured in 2018. 1-meter Lidar Digital Surface Model (Full Feature), 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 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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