<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20220106</CreaDate>
        <CreaTime>14125600</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idAbs/>
        <searchKeys>
            <keyword>RSWCP</keyword>
            <keyword>Woodland Creation</keyword>
            <keyword>Pilot</keyword>
            <keyword>Hexagons</keyword>
            <keyword>Classification</keyword>
        </searchKeys>
        <idPurp>Hexagons showing the overall classification and underlying factors for the small scale native or riparian woodland typology.</idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>