20210922 16074700 1.0 FALSE Sector119_ortho_part_1_3.tif 002 673700.545973 674372.545973 5660678.288118 5661350.288118 1 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_UTM_Zone_42N <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/10.4'><WKT>PROJCS[&quot;WGS_1984_UTM_Zone_42N&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;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,69.0],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;,32642]]</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>32642</WKID><LatestWKID>32642</LatestWKID></ProjectedCoordinateSystem> 16 FALSE LZW 3 TIFF TRUE continuous unsigned integer 256 20210922 16074700 20210922 16074700 Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686 Sector119_ortho_part_1_3.tif 1 71.479403 71.489309 51.077337 51.071096 2D ortho Sector119_ortho_part_1_3 Набор растровых данных dataset EPSG 2.1(3.0.1) 2 1 0 673700.545973 5660678.288118 673700.545973 5661350.288118 674372.545973 5661350.288118 674372.545973 5660678.288118 674036.545973 5661014.288118 16000 0.042000 16000 0.042000 Band_1 255.000000 0.000000 16 Band_2 255.000000 0.000000 16 Band_3 255.000000 0.000000 16 20210922 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