<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
    
  <Esri>
        
    <CreaDate>20191023</CreaDate>
        
    <CreaTime>14150800</CreaTime>
        
    <ArcGISFormat>1.0</ArcGISFormat>
        
    <SyncOnce>TRUE</SyncOnce>
        
    <MapLyrSync>TRUE</MapLyrSync>
      
  </Esri>
    
  <dataIdInfo>
        
    <idCitation>
            
      <resTitle>ROC Streets Basemap State Plane NAD83</resTitle>
          
    </idCitation>
        
    <idAbs>Streets Basemap image layer, Rochester, NY using State Plane NAD 83

Spatial Reference: 102717  (2262)</idAbs>
        
    <searchKeys>
            
      
      
      
    
      <keyword>Streets Base Map</keyword>
      <keyword>Rochester</keyword>
      <keyword>NY</keyword>
      <keyword>State Plane NAD 83</keyword>
    </searchKeys>
        
    <idPurp>Streets Base Map, Rochester, NY using State Plane NAD 83</idPurp>
        
    <idCredit>City of Rochester, NY</idCredit>
        
    <resConst>
            
      <Consts>
                
        <useLimit/>
              
      </Consts>
          
    </resConst>
      
  </dataIdInfo>
    
  <Binary>
        
    <Thumbnail>
            
      <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
          
    </Thumbnail>
      
  </Binary>
  
</metadata>
