20190924 09025400 1.0 FALSE DAP_RGBWEB.tif 002 2140389.250360 2168894.750360 6184150.634098 6208260.634098 1 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_Web_Mercator_Auxiliary_Sphere <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/10.3'><WKT>PROJCS[&quot;WGS_1984_Web_Mercator_Auxiliary_Sphere&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Mercator_Auxiliary_Sphere&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,0.0],PARAMETER[&quot;Standard_Parallel_1&quot;,0.0],PARAMETER[&quot;Auxiliary_Sphere_Type&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>148923141.92838538</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>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem> 16 FALSE LZW 3 TIFF TRUE continuous signed integer 256 20190924 09025400 20190924 09025400 Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.1.4959 DAP_RGBWEB.tif 1 19.227444 19.483513 48.605942 48.462527 LC Tree LC Vígľaš Raster Dataset dataset EPSG 8.6.2 2 1 0 2140389.250360 6184150.634098 2140389.250360 6208260.634098 2168894.750360 6208260.634098 2168894.750360 6184150.634098 2154642.000360 6196205.634098 114022 0.250000 96440 0.250000 Band_1 16 Band_2 16 Band_3 16 20190924 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