<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20200422</CreaDate>
<CreaTime>16375100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Tax Incentive Boundaries and public lands identified in Montgomery County</idAbs>
<searchKeys>
<keyword>cgm</keyword>
</searchKeys>
<idPurp>Tax Incentive Boundaries and public lands identified in Montgomery County</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>CKC_UrbanFarming</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
