<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
      
  
  <Esri>
            
    
    <CreaDate>20220222</CreaDate>
            
    
    <CreaTime>11555800</CreaTime>
            
    
    <ArcGISFormat>1.0</ArcGISFormat>
            
    
    <SyncOnce>TRUE</SyncOnce>
            
    
    <scaleRange>
                  
      
      <minScale>150000000</minScale>
                  
      
      <maxScale>5000</maxScale>
                
    
    </scaleRange>
            
    
    <ArcGISProfile>ItemDescription</ArcGISProfile>
          
  
  </Esri>
      
  
  <dataIdInfo>
            
    
    <idCitation>
                  
      
      <resTitle>TreeCanopy_Lidar</resTitle>
                
    
    </idCitation>
            
    
    <idPurp>Polygons representing the tree canopy in 2015 and 2020. Polygons were produced from the classified tree points in the countywide classified lidar data. The...</idPurp>
            
    
    <idCredit>Milwaukee County GIS &amp; Land Information Office (MCLIO)</idCredit>
            
    
    <searchKeys>
                  
      
      
    
      
      
      
    
      <keyword>tree canopy</keyword>
      <keyword>trees</keyword>
      <keyword>lidar</keyword>
    </searchKeys>
            
    
    <idAbs/>
            
    
    <resConst>
                  
      
      <Consts>
                        
        
        <useLimit/>
                      
      
      </Consts>
                
    
    </resConst>
          
  
  </dataIdInfo>
      
  
  <mdHrLv>
            
    
    <ScopeCd value="005"/>
          
  
  </mdHrLv>
      
  
  <Binary>
            
    
    <Thumbnail>
                  
      
      <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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==</Data>
                
    
    </Thumbnail>
          
  
  </Binary>
      
  
  <mdDateSt Sync="TRUE">20220222</mdDateSt>
    

</metadata>
