<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230417</CreaDate>
<CreaTime>09021200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20230417" Time="090212" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Conversion Tools.tbx\ExportFeatures">ExportFeatures gsi_sites_no_airports "Y:\Staff\Misiuk\GIS\ArcGIS Pro\LandCoverSummaries\LandCoverSummaries.gdb\gsi_sites" # NOT_USE_ALIAS "semmcd "semmcd" true true false 2 Short 0 4,First,#,gsi_sites_no_airports,semmcd,-1,-1;landuse20 "landuse20" true true false 24 Text 0 0,First,#,gsi_sites_no_airports,landuse20,0,24;parcel_address "parcel_address" true true false 50 Text 0 0,First,#,gsi_sites_no_airports,parcel_address,0,50;parcel_id "parcel_id" true true false 4 Long 0 10,First,#,gsi_sites_no_airports,parcel_id,-1,-1;undev_area "undev_area" true true false 8 Double 8 38,First,#,gsi_sites_no_airports,undev_area,-1,-1;parcel_area "parcel_area" true true false 8 Double 8 38,First,#,gsi_sites_no_airports,parcel_area,-1,-1;percent_undev "percent_undev" true true false 8 Double 8 38,First,#,gsi_sites_no_airports,percent_undev,-1,-1" #</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>gsi</keyword>
<keyword>sites</keyword>
<keyword>green</keyword>
<keyword>undevelopable</keyword>
</searchKeys>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>gsi_sites</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
