20220926 23332900 1.0 FALSE Sector200_ortho.tif 002 669176.464947 670847.784947 5658155.140334 5660488.620334 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/2.9.0'><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> 8 FALSE LZW 3 TIFF TRUE continuous unsigned integer 255 20220926 23332900 20220926 23332900 Esri ArcGIS 12.9.0.32739 Sector200_ortho.tif 1 71.413708 71.438633 51.070947 51.049487 Sector200_ortho ortho Sector200_ortho Набор растровых данных dataset EPSG 9.8.8(3.0.1) 2 1 0 669176.464947 5658155.140334 669176.464947 5660488.620334 670847.784947 5660488.620334 670847.784947 5658155.140334 670012.124947 5659321.880334 41783 0.040000 58337 0.040000 Band_1 255.000000 0.000000 8 Band_2 255.000000 0.000000 8 Band_3 255.000000 0.000000 8 20220926 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