<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
  <Esri>
    <CreaDate>20221205</CreaDate>
    <CreaTime>13443600</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
  </Esri>
  <dataIdInfo>
    <idCitation>
      <resTitle>Forest_Health</resTitle>
    </idCitation>
    <idAbs/>
    <searchKeys>
      <keyword>Forest Health</keyword>
      <keyword>Survey</keyword>
      <keyword>Aerial detection Survey</keyword>
      <keyword>Insect and Disease</keyword>
      <keyword>Watershed Forest Health</keyword>
    </searchKeys>
    <idPurp>This is a modified insect and disease aerial detection survey for the Upper Green River Watershed derived from the Washington state Forest Damage Aerial Detection Survey data layer. This survey is a cooperative effort between the U.S. Forest Service and the WADNR with two different flight obervers each sketching a two mile swath out their side of the plane.</idPurp>
    <idCredit/>
    <resConst>
      <Consts>
        <useLimit/>
      </Consts>
    </resConst>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
    </Thumbnail>
  </Binary>
</metadata>
