<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220804</CreaDate>
<CreaTime>15311500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20220804" Time="153115" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\DefineProjection">DefineProjection "C:\Users\burchibr\OneDrive - Michigan State University\IC-CREAM Surfer Projects\South Haven\North Beach\Data Example\12142021_topo.grd" PROJCS["NAD_1983_UTM_Zone_16N",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-87.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>EAGER</keyword>
</searchKeys>
<idPurp>EAGER</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>UPDATED_SouthHaven_NorthBeach_12142021_topo_grd</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
