20130509 22493500 1.0 FGDC CSDGM Metadata FALSE SGIC_2008_2012_WSA_DEM 002 135967.431100 766057.431100 5427364.445000 6655099.445000 1 Projected GCS_North_American_1983_CSRS Linear Unit: Meter (1.000000) NAD_1983_CSRS_UTM_Zone_13N <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_CSRS_UTM_Zone_13N&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;,-105.0],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;,2957]]</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>0.00020000000000000001</ZTolerance><MTolerance>0.00020000000000000001</MTolerance><HighPrecision>true</HighPrecision><WKID>2151</WKID><LatestWKID>2957</LatestWKID></ProjectedCoordinateSystem> 20210428 16233800 20210428 16233800 150000000 5000 NAP Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.0.12790 GISDB.ELEVATION.SGIC_2008_2012_WSA_DEM 1 -111.508410 -100.234905 60.033118 48.892099 The SGIC-DEM raster dataset was developed from mass points at 100m and 30m spacing, as well as breaklines, collected between 2008 and 2012. These mass points... <div style='text-align:Left;'><div><div><p><span><span>The elevation data used to created this dataset was provided by MapCon to the Saskatchewan Geospatial Imagery Collaborative (SGIC) group as a deliverable along with the high-resolution aerial photography product. The breaklines used are polyline shapefiles derived by softcopy stereo digitizing of features that represent breaks in the topography (for example, tops of ridges, bottoms of V-shaped valleys, tops and bottoms of cliffs, edges of waterbodies, etc.). These breaklines greatly add to the representative detail of the topography and have the potential to greatly increase the accuracy and precision of an elevation model. Please refer to the following document for more details on the methodology used to interpolate the DEM: "Proposed_SGIC_DEM_Creation_Methodology_20110211.doc"</span></span></p><p><span /></p></div></div></div> Raster Dataset dataset EPSG 6.13(9.3.0.0) Pixel 81849 42006 15.000000 15.000000 32 1 Upper Left FALSE LZ77 1 pixel codes SDR TRUE row and column 15.000000 15.000000 20210428 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