<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230726</CreaDate>
<CreaTime>09122900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20230726" Time="091229" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Data Management Tools.tbx\RegisterWithGeodatabase">RegisterWithGeodatabase "Database Connections\Parcel Schema Connection to PV1-DBPAC-LM.sde\LandManagement.Parcel.PRCL_GEOM_WPRIDATA_GOTNET_NO_OWNER" OBJECTID SHAPE POLYGON "PROJCS['NAD_1983_StatePlane_California_II_FIPS_0402_Feet',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['Lambert_Conformal_Conic'],PARAMETER['False_Easting',6561666.666666666],PARAMETER['False_Northing',1640416.666666667],PARAMETER['Central_Meridian',-122.0],PARAMETER['Standard_Parallel_1',38.33333333333334],PARAMETER['Standard_Parallel_2',39.83333333333334],PARAMETER['Latitude_Of_Origin',37.66666666666666],UNIT['Foot_US',0.3048006096012192]];-115211800 -93821500 3048.00609601219;-100000 10000;-100000 10000;3.28083333333333E-03;0.001;0.001;IsHighPrecision" #</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>parcels</keyword>
<keyword>public</keyword>
</searchKeys>
<idPurp>Parcel layer published for public use.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Parcels_Public_View</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
