<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20240206</CreaDate>
<CreaTime>09455100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20240206" Time="094551" ToolSource="c:\program files (x86)\arcgis\desktop10.8\ArcToolbox\Toolboxes\Spatial Analyst Tools.tbx\ExtractByMask">ExtractByMask BANGI_20220727_AST Converted_Graphics_2 "F:\PRASARANA\1. DATA GIS UKM 2019-2020\1. IMAGE UAV (BASE MAP)\UKM GEOREF 2020\UKM_WGS84.gdb\BANGI_20220727_AST_"</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<idPurp/>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>BANGI_20220727_AST_</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
