<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
<Esri>
<CreaDate>20180801</CreaDate>
<CreaTime>11151300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>The study area overview has a reclassified and polygon-class capturing the DEM information to simplify the Ghost River elevation model. There is also a simplified streams network. </idAbs>
<searchKeys>
<keyword>Ghost River</keyword>
<keyword>Watershed</keyword>
<keyword>Elevation</keyword>
</searchKeys>
<idPurp>These layers give a basic overview of the Ghost River Catchment area</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>