<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20221003</CreaDate>
<CreaTime>08203800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Clay_Gulley_2_orthomosaic</resTitle>
</idCitation>
<idAbs/>
<searchKeys>
<keyword>ian drone</keyword>
</searchKeys>
<idPurp>ian drone</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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==
</Data>
</Thumbnail>
</Binary>
</metadata>
