<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20200123</CreaDate>
<CreaTime>15150000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>ISO 19139 Metadata Implementation Specification</ArcGISstyle>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Land Cover types for year 2000 (2006/2012/2018).
Grid map of 1 x 1 km spatial resolution displays the predominant LEAC category in referce year.
Land Cover types are represented by main LEAC categories on level 1.</idAbs>
<searchKeys>
<keyword>LEAC</keyword>
<keyword>CLASIFICATION</keyword>
<keyword>2012</keyword>
</searchKeys>
<idPurp>LEAC CLASIFICATION 2012</idPurp>
<idCredit>© European Environment Agency</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>LEAC_CLASIFICATION_3857_2012</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
