<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20201019</CreaDate>
<CreaTime>16060100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Map</resTitle>
</idCitation>
<idAbs/>
<searchKeys>
<keyword>Relative Wetness Gradient</keyword>
<keyword>NRC</keyword>
<keyword>Land &amp; Water Science</keyword>
<keyword>Land and Water Science</keyword>
<keyword>Radiometric</keyword>
<keyword>Satellite Imagery</keyword>
<keyword>Wetness Gradient</keyword>
</searchKeys>
<idPurp>This layer comes from the Mapping of Northland's Wetness Gradients report which was produced by Land and Water Science.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
