<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fi">
<Esri>
<CreaDate>20200724</CreaDate>
<CreaTime>12552400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">ShadedRelief_dem2019_lzw_pyr1</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<nativeExtBox>
<westBL Sync="TRUE">25485977.420000</westBL>
<eastBL Sync="TRUE">25510678.420000</eastBL>
<southBL Sync="TRUE">6680509.453000</southBL>
<northBL Sync="TRUE">6698786.453000</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemLocation>
<linkage Sync="TRUE">file://\\vanhomed\homedir$\jere.virolainen\korkeusmalli19\Default.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_ETRS_1989</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Meter (1.000000)</csUnits>
<projcsn Sync="TRUE">ETRS_1989_GK25FIN</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/2.4.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;ETRS_1989_GK25FIN&amp;quot;,GEOGCS[&amp;quot;GCS_ETRS_1989&amp;quot;,DATUM[&amp;quot;D_ETRS_1989&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;Gauss_Kruger&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,25500000.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,25.0],PARAMETER[&amp;quot;Scale_Factor&amp;quot;,1.0],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,0.0],UNIT[&amp;quot;Meter&amp;quot;,1.0],AUTHORITY[&amp;quot;EPSG&amp;quot;,3879]]&lt;/WKT&gt;&lt;XOrigin&gt;19876800&lt;/XOrigin&gt;&lt;YOrigin&gt;-10002100&lt;/YOrigin&gt;&lt;XYScale&gt;450265407.00157917&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;3879&lt;/WKID&gt;&lt;LatestWKID&gt;3879&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20200724" Time="125853" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Clip">Clip "Shaded Relief_dem2019_lzw_pyra.tif" "25485977,93 6680509,9366 25510678,6095 6698786,165" H:\korkeusmalli19\Default.gdb\ShadedRelief_dem2019_lzw_pyr1 Aluejaot\Kaupunginraja 256 ClippingGeometry NO_MAINTAIN_EXTENT</Process>
</lineage>
</DataProperties>
<SyncDate>20200724</SyncDate>
<SyncTime>12552600</SyncTime>
<ModDate>20200724</ModDate>
<ModTime>12552600</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 12.4.0.19948</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="fin"/>
<countryCode Sync="TRUE" value="FIN"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Map</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">24.745613</westBL>
<eastBL Sync="TRUE">25.193720</eastBL>
<northBL Sync="TRUE">60.401323</northBL>
<southBL Sync="TRUE">60.237041</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
<idAbs/>
<searchKeys>
<keyword>vinovalo</keyword>
<keyword>hillshade</keyword>
<keyword>korkeusmalli</keyword>
</searchKeys>
<idPurp>Värillinen vinovalovarjostettu korkeusmalli vuoden 2019 laserkeilauksesta</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="fin"/>
<countryCode Sync="TRUE" value="FIN"/>
</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="3879"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">7.5.1(10.1.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spdoinfo>
<rastinfo>
<rasttype Sync="TRUE">Pixel</rasttype>
<rowcount Sync="TRUE">18277</rowcount>
<colcount Sync="TRUE">24701</colcount>
<rastxsz Sync="TRUE">1,000000</rastxsz>
<rastysz Sync="TRUE">1,000000</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">LZ77</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">1,000000</absres>
<ordres Sync="TRUE">1,000000</ordres>
</coordrep>
</planci>
</planar>
</horizsys>
</spref>
<mdDateSt Sync="TRUE">20200724</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
