<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20220808</CreaDate>
<CreaTime>11370800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20220808" Time="113708" 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\Marquette\South Beach Park\Data For Public Upload\Marquette_South_Beach_Park_05062021_Ortho.tif" 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/>
<idPurp>EAGER</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Marquette_SouthBeachPark_05062021_Ortho_tif</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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==</Data>
</Thumbnail>
</Binary>
</metadata>
