<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="et">
<Esri>
<CreaDate>20220815</CreaDate>
<CreaTime>16450000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Hapsal_1798</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">471628.027364</westBL>
<eastBL Sync="TRUE">475564.912449</eastBL>
<southBL Sync="TRUE">6529466.062899</southBL>
<northBL Sync="TRUE">6536213.857544</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemLocation>
<linkage Sync="TRUE">file://\\LEN-PEEP\C$\Users\peep.aedviir\OneDrive - Haapsalu Linnavalitsus\Documents\ArcGIS\Projects\Hapsal_kaardikohtide_loomine\Hapsal_kaardikohtide_loomine.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_Estonia_1997</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">Estonia_1997_Estonia_National_Grid</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;Estonia_1997_Estonia_National_Grid&amp;quot;,GEOGCS[&amp;quot;GCS_Estonia_1997&amp;quot;,DATUM[&amp;quot;D_Estonia_1997&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,6375000.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,24.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,58.0],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,59.33333333333334],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,57.51755393055556],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3301]]&lt;/WKT&gt;&lt;XOrigin&gt;-34999000&lt;/XOrigin&gt;&lt;YOrigin&gt;-25103900&lt;/YOrigin&gt;&lt;XYScale&gt;126865535.01142272&lt;/XYScale&gt;&lt;ZOrigin&gt;0&lt;/ZOrigin&gt;&lt;ZScale&gt;1&lt;/ZScale&gt;&lt;MOrigin&gt;0&lt;/MOrigin&gt;&lt;MScale&gt;1&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;3301&lt;/WKID&gt;&lt;LatestWKID&gt;3301&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20220815" Name="" Time="164502" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Clip" export="">Clip 1798.tif "471628,027363613 6529466,06289929 475564,912448972 6536213,85754428" "C:\Users\peep.aedviir\OneDrive - Haapsalu Linnavalitsus\Documents\ArcGIS\Projects\Hapsal_kaardikohtide_loomine\Hapsal_kaardikohtide_loomine.gdb\Hapsal_1798" 1798_kate 256 ClippingGeometry MAINTAIN_EXTENT</Process>
</lineage>
</DataProperties>
<SyncDate>20220815</SyncDate>
<SyncTime>16450000</SyncTime>
<ModDate>20220815</ModDate>
<ModTime>16464800</ModTime>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 12.9.3.32739</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="est"/>
<countryCode Sync="TRUE" value="EST"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Hapsal_1798</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="011"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="002"/>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">23.506845</westBL>
<eastBL Sync="TRUE">23.576015</eastBL>
<northBL Sync="TRUE">58.964277</northBL>
<southBL Sync="TRUE">58.903457</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idPurp>Hapsal_1798</idPurp>
<searchKeys>
<keyword>Hapsal_1798</keyword>
</searchKeys>
<idAbs/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="est"/>
<countryCode Sync="TRUE" value="EST"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Raster Dataset</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="3301"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.7(9.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<rastinfo>
<rasttype Sync="TRUE">Pixel</rasttype>
<rowcount Sync="TRUE">9366</rowcount>
<colcount Sync="TRUE">5465</colcount>
<rastxsz Sync="TRUE">0,720382</rastxsz>
<rastysz Sync="TRUE">0,720456</rastysz>
<rastbpp Sync="TRUE">8</rastbpp>
<vrtcount Sync="TRUE">1</vrtcount>
<rastorig Sync="TRUE">Upper Left</rastorig>
<rastcmap Sync="TRUE">FALSE</rastcmap>
<rastcomp Sync="TRUE">JPEG</rastcomp>
<rastband Sync="TRUE">3</rastband>
<rastdtyp Sync="TRUE">pixel codes</rastdtyp>
<rastifor Sync="TRUE">FGDBR</rastifor>
<rastplyr Sync="TRUE">TRUE</rastplyr>
</rastinfo>
</spdoinfo>
<spref>
<horizsys>
<planar>
<planci>
<plance Sync="TRUE">row and column</plance>
<coordrep>
<absres Sync="TRUE">0,720382</absres>
<ordres Sync="TRUE">0,720456</ordres>
</coordrep>
</planci>
</planar>
</horizsys>
</spref>
<mdDateSt Sync="TRUE">20220815</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
