<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20231102</CreaDate>
<CreaTime>10575000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>trees</keyword>
<keyword>canopy</keyword>
</searchKeys>
<idPurp>Tree canopy coverage results from PlanIT Geo using NAIP imagery from 2017.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Tree Canopy 2017</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
