<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20240131</CreaDate>
        <CreaTime>15112000</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
        <DataProperties/>
    </Esri>
    <dataIdInfo>
        <idAbs/>
        <searchKeys>
            <keyword>Missions</keyword>
            <keyword>California</keyword>
            <keyword>CalPoly</keyword>
        </searchKeys>
        <idPurp>Ariel Photogrammetry Lab</idPurp>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>