<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20200706</CreaDate>
        <CreaTime>13530200</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
    </Esri>
    <dataIdInfo>
        <idCitation>
            <resTitle>General Plan Land Use</resTitle>
        </idCitation>
        <idAbs/>
        <idCredit/>
        <idPurp>Palmdale current land use layer</idPurp>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
        <searchKeys>
            <keyword>Palmdale GPU</keyword>
        </searchKeys>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>