<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="ru">
<Esri>
<CreaDate>20221028</CreaDate>
<CreaTime>10360100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Sector204_ortho.tif</itemName>
<itemLocation>
<linkage Sync="TRUE">file://D:\Astana2020\Жанбота временно\ПАПКА 2022\Обновление 2022\Sector204_ortho.tif</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">667180.215552</westBL>
<eastBL Sync="TRUE">668124.575552</eastBL>
<southBL Sync="TRUE">5660389.191596</southBL>
<northBL Sync="TRUE">5661906.711596</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">WGS_1984_UTM_Zone_42N</projcsn>
<peXml Sync="TRUE">&lt;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'&gt;&lt;WKT&gt;PROJCS[&amp;quot;WGS_1984_UTM_Zone_42N&amp;quot;,GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Transverse_Mercator&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,69.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,0.9996],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,32642]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-9998100&lt;/YOrigin&gt;&lt;XYScale&gt;450445547.3910538&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.001&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;32642&lt;/WKID&gt;&lt;LatestWKID&gt;32642&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<RasterProperties>
<General>
<PixelDepth Sync="TRUE">8</PixelDepth>
<HasColormap Sync="TRUE">FALSE</HasColormap>
<CompressionType Sync="TRUE">LZW</CompressionType>
<NumBands Sync="TRUE">3</NumBands>
<Format Sync="TRUE">TIFF</Format>
<HasPyramids Sync="TRUE">TRUE</HasPyramids>
<SourceType Sync="TRUE">continuous</SourceType>
<PixelType Sync="TRUE">unsigned integer</PixelType>
<NoDataValue Sync="TRUE">255</NoDataValue>
</General>
</RasterProperties>
<lineage>
<Process Date="20221028" Time="103602" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Clip">Clip Sector204_ortho_ortho_merge.tif "657007,062468006 5657670,38752483 690990,728219912 5684334,26851818" "D:\Astana2020\Жанбота временно\ПАПКА 2022\Обновление 2022\Sector204_ortho.tif" "Обновление 2022 выборка" 255 ClippingGeometry NO_MAINTAIN_EXTENT</Process>
</lineage>
</DataProperties>
<SyncDate>20221028</SyncDate>
<SyncTime>10360100</SyncTime>
<ModDate>20221028</ModDate>
<ModTime>10360100</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19043) ; Esri ArcGIS 12.9.0.32739</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="rus"/>
<countryCode Sync="TRUE" value="RUS"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Sector204_ortho</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">71.386286</westBL>
<eastBL Sync="TRUE">71.400459</eastBL>
<northBL Sync="TRUE">51.084273</northBL>
<southBL Sync="TRUE">51.070363</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>ortho</keyword>
</searchKeys>
<idPurp>Sector204_ortho</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="rus"/>
<countryCode Sync="TRUE" value="RUS"/>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004"/>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Набор растровых данных</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="32642"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">9.8.8(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<Georect>
<cellGeo>
<CellGeoCd Sync="TRUE" value="002"/>
</cellGeo>
<numDims Sync="TRUE">2</numDims>
<tranParaAv Sync="TRUE">1</tranParaAv>
<chkPtAv Sync="TRUE">0</chkPtAv>
<cornerPts>
<pos Sync="TRUE">667180.215552 5660389.191596</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">667180.215552 5661906.711596</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">668124.575552 5661906.711596</pos>
</cornerPts>
<cornerPts>
<pos Sync="TRUE">668124.575552 5660389.191596</pos>
</cornerPts>
<centerPt>
<pos Sync="TRUE">667652.395552 5661147.951596</pos>
</centerPt>
<axisDimension type="002">
<dimSize Sync="TRUE">23609</dimSize>
<dimResol>
<value Sync="TRUE" uom="м">0.040000</value>
</dimResol>
</axisDimension>
<axisDimension type="001">
<dimSize Sync="TRUE">37938</dimSize>
<dimResol>
<value Sync="TRUE" uom="м">0.040000</value>
</dimResol>
</axisDimension>
<ptInPixel>
<PixOrientCd Sync="TRUE" value="001"/>
</ptInPixel>
</Georect>
</spatRepInfo>
<contInfo>
<ImgDesc>
<contentTyp>
<ContentTypCd Sync="TRUE" value="001"/>
</contentTyp>
<covDim>
<Band>
<dimDescrp Sync="TRUE">Band_1</dimDescrp>
<maxVal Sync="TRUE">255.000000</maxVal>
<minVal Sync="TRUE">0.000000</minVal>
<bitsPerVal Sync="TRUE">8</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
<Band>
<dimDescrp Sync="TRUE">Band_2</dimDescrp>
<maxVal Sync="TRUE">255.000000</maxVal>
<minVal Sync="TRUE">0.000000</minVal>
<bitsPerVal Sync="TRUE">8</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
<Band>
<dimDescrp Sync="TRUE">Band_3</dimDescrp>
<maxVal Sync="TRUE">255.000000</maxVal>
<minVal Sync="TRUE">0.000000</minVal>
<bitsPerVal Sync="TRUE">8</bitsPerVal>
<valUnit>
<UOM type="length"/>
</valUnit>
</Band>
</covDim>
</ImgDesc>
</contInfo>
<mdDateSt Sync="TRUE">20221028</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
