<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20231005</CreaDate>
<CreaTime>10225000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Queensland_Building_Footprints</resTitle>
</idCitation>
<idAbs/>
<searchKeys>
<keyword>Buildingfootprints</keyword>
<keyword>Footprints</keyword>
<keyword>LiDAR</keyword>
</searchKeys>
<idPurp>Queensland building footprints is a combination of the Microsoft Bing Open data and the DRFA funded LiDAR projects. As part of the LiDAR capture the Department of Resources is automatically extracting the building footprints of the captured area. </idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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=</Data>
</Thumbnail>
</Binary>
</metadata>
