<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="de">
<Esri>
<CreaDate>20210504</CreaDate>
<CreaTime>06230800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20210504" Time="062308" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\FeatureClassToFeatureClass">FeatureClassToFeatureClass VG250_Kreise1219 Z:\DE-Atlas\03_Fachdaten\2021_HA\Kreise.gdb fl_landw # "GF "GF" true true false 2 Short 0 0,First,#,VG250_Kreise1219,VG250_Kreise1219.GF,-1,-1;GEN "GEN" true true false 60 Text 0 0,First,#,VG250_Kreise1219,VG250_Kreise1219.GEN,0,60;BEZ "BEZ" true true false 40 Text 0 0,First,#,VG250_Kreise1219,VG250_Kreise1219.BEZ,0,40;Gebietskennziffer "Gebietskennziffer" true true false 4 Long 0 0,First,#,VG250_Kreise1219,krs19.csv.Gebietskennziffer,-1,-1;name "name" true true false 8000 Text 0 0,First,#,VG250_Kreise1219,krs19.csv.name,0,8000;fl_landw "fl_landw" true true false 8 Double 0 0,First,#,VG250_Kreise1219,krs19.csv.fl_landw,-1,-1" #</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>deutschlandatlas</keyword>
<keyword>dev</keyword>
<keyword>HA2021</keyword>
</searchKeys>
<idPurp>Anteil der Landwirtschaftsfläche an der Gesamtfläche im Jahr 2019 in %, fl_landw_HA2021</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>fl_landw_HA2021</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
