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<metadata xml:lang="en">
<Esri>
<CreaDate>20171205</CreaDate>
<CreaTime>14412800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>This dataset was compiled using LiDAR (elevation) data, and Urban Tree Canopy (UTC) high-resolution land cover data to extract high points within the tree canopy land cover class. These points represent an estimated location of individual trees. This dataset was created by Jarlath O'Neil-Dunne (U of Vermont) in colaboration with Mark Johnston (Field Museum) and Chao Fan (U of Idaho).</idAbs>
<searchKeys>
<keyword>Tree-top points</keyword>
<keyword>Chicago</keyword>
<keyword>Cook County</keyword>
<keyword>DuPage County</keyword>
<keyword>LiDAR</keyword>
<keyword>UTC</keyword>
</searchKeys>
<idPurp>This dataset was compiled using LiDAR (elevation) data, and Urban Tree Canopy (UTC) high-resolution land cover data to extract high points within the tree canopy land cover class. These points represent an estimated location of individual trees.</idPurp>
<idCredit>The Field Museum, University of Vermont Spatial Analysis Lab, Chicago Region Trees Initiative</idCredit>
<resConst>
<Consts>
<useLimit>Not for reproduction. Please contact Mark Johnston at The Field Museum.</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Chicago Region Tree-Top Points</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
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</Data>
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