20170427 08183500 1.0 FALSE chaltura_GSC.tif 002 -78.210341 -78.207875 0.362286 0.365382 1 Geographic GCS_WGS_1984 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/10.6'><WKT>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],AUTHORITY[&quot;EPSG&quot;,4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem> 8 FALSE LZW 4 TIFF TRUE continuous unsigned integer 0 20210517 18244200 20210517 18244200 Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.0.8321 chaltura_GSC.tif 1 -78.210341 -78.207875 0.365382 0.362286 Raster Dataset dataset EPSG 6.14(3.0.1) 2 1 0 -78.210341 0.362286 -78.210341 0.365382 -78.207875 0.365382 -78.207875 0.362286 -78.209108 0.363834 7061 0.000000 8865 0.000000 Band_1 255.000000 4.000000 8 Band_2 255.000000 15.000000 8 Band_3 255.000000 1.000000 8 Band_4 255.000000 255.000000 8 20210517 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