20180212 12402700 1.0 FALSE ORTOFOTO_2010 002 99900.027087 189900.027087 6306700.022123 6476700.022123 1 Projected GCS_SWEREF99 Linear Unit: Meter (1.000000) SWEREF99_18_45 <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/10.7'><WKT>PROJCS[&quot;SWEREF99_18_45&quot;,GEOGCS[&quot;GCS_SWEREF99&quot;,DATUM[&quot;D_SWEREF99&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;,150000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,18.75],PARAMETER[&quot;Scale_Factor&quot;,1.0],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3015]]</WKT><XOrigin>-5473200</XOrigin><YOrigin>-10002100</YOrigin><XYScale>450265407.00157917</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>2</ZTolerance><MTolerance>2</MTolerance><HighPrecision>true</HighPrecision><WKID>3015</WKID><LatestWKID>3015</LatestWKID></ProjectedCoordinateSystem> 20200511 20251100 20200511 20251100 Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1.11595 ORTOFOTO_2010 1 17.893047 19.432501 58.407765 56.878638 Orotofoto år 2010 Region Gotland; Ortofoto Orotofoto år 2010 Rasterdataset i filbaserad geodatabas dataset EPSG 7.4.4(9.0.0) Pixel 340000 180000 0,500000 0,500000 8 1 Upper Left FALSE LZ77 3 pixel codes FGDBR TRUE row and column 0,500000 0,500000 20200511 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