<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="nb">
<Esri>
<CreaDate>20240220</CreaDate>
<CreaTime>11183200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Hjertesone_150m</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
<itemLocation>
<linkage Sync="TRUE">file://\\MM-SXD8E-039\PROJECTS\NO\8\A16200864-1 Sætre barne- og ungdomsskole\3 PLAN\3-6 GIS\Sætre barne- og ungdomsskole\Sætre barne- og ungdomsskole.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_UTM_Zone_33N</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;ETRS_1989_UTM_Zone_33N&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;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;,15.0],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;,25833]]&lt;/WKT&gt;&lt;XOrigin&gt;-5120900&lt;/XOrigin&gt;&lt;YOrigin&gt;-9998100&lt;/YOrigin&gt;&lt;XYScale&gt;10000&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;25833&lt;/WKID&gt;&lt;LatestWKID&gt;25833&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
</coordRef>
<lineage>
<Process Date="20240220" Time="111835" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyFeatures">CopyFeatures "Service Area\Polygons" "O:\NO\8\A16200864-1 Sætre barne- og ungdomsskole\3 PLAN\3-6 GIS\Sætre barne- og ungdomsskole\Sætre barne- og ungdomsskole.gdb\Hjertesone_150m" # # # #</Process>
</lineage>
</DataProperties>
<SyncDate>20240220</SyncDate>
<SyncTime>11183500</SyncTime>
<ModDate>20240220</ModDate>
<ModTime>11183500</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="TRUE">Microsoft Windows 10 Version 10.0 (Build 22621) ; Esri ArcGIS 12.9.4.32739</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="nob"/>
<countryCode Sync="TRUE" value="NOR"/>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Hjertesone_150m</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005"/>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001"/>
</spatRpType>
<idAbs/>
<searchKeys>
<keyword>f</keyword>
</searchKeys>
<idPurp>Hjertesone_150m rundt Sætre barne- og ungdomsskolef</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="nob"/>
<countryCode Sync="TRUE" value="NOR"/>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005"/>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="25833"/>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">4.3(4.0.0)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Hjertesone_150m">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="002"/>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001"/>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="Hjertesone_150m">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="4"/>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="Hjertesone_150m">
<enttyp>
<enttypl Sync="TRUE">Hjertesone_150m</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">ObjectID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">FacilityID</attrlabl>
<attalias Sync="TRUE">FacilityID</attalias>
<attrtype Sync="TRUE">Integer</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Name</attrlabl>
<attalias Sync="TRUE">Name</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">1024</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">FromBreak</attrlabl>
<attalias Sync="TRUE">FromBreak</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ToBreak</attrlabl>
<attalias Sync="TRUE">ToBreak</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Length</attrlabl>
<attalias Sync="TRUE">Shape_Length</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape_Area</attrlabl>
<attalias Sync="TRUE">Shape_Area</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
</attrdomv>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20240220</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
