<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
  <Esri>
    <CreaDate>20210507</CreaDate>
    <CreaTime>15164000</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
  </Esri>
  <dataIdInfo>
    <idCitation>
      <resTitle>Section2GUTTier3AnalysisRun2</resTitle>
    </idCitation>
    <searchKeys>
      <keyword>Headworks</keyword>
      <keyword>Green River Watershed</keyword>
      <keyword>Watershed</keyword>
      <keyword>LiDAR</keyword>
      <keyword>Lidar</keyword>
      <keyword>Analysis</keyword>
      <keyword>City of Tacoma</keyword>
      <keyword>COT</keyword>
      <keyword>Tacoma Public Utilities</keyword>
      <keyword>TPU</keyword>
      <keyword>Tacoma water</keyword>
      <keyword>TW</keyword>
      <keyword>Streams Analysis</keyword>
      <keyword>GUT</keyword>
    </searchKeys>
    <idPurp>This service depicts the Tier 3 results from the second full run of the GUT tools on section 2 of the Mainstem Green River.</idPurp>
    <idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This service depicts the Tier 3 results from the second full run of the GUT tools on section 2 of the Mainstem Green River.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
    <idCredit/>
    <resConst>
      <Consts>
        <useLimit/>
      </Consts>
    </resConst>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
    </Thumbnail>
  </Binary>
</metadata>
