<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210325</CreaDate>
<CreaTime>13372200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20210325" Name="Copy Raster" Time="133722" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyRaster">CopyRaster "GEOPHYSICS\Survey Coverage Area\Airborne\Magnetic\2920AC Vaalkop_magmicrolevel.tif" C:\Users\rainslie\Documents\2021\1)Projects\Portal_21\Geophysics\Data\Airborne\Airborne_Mag_GeoTiffs.gdb\Magnetic_2920AC_Vaalkop_magmicrolevel # 0 -1e+32 NONE NONE "32 bit float" NONE NONE "TIFF format" NONE CURRENT_SLICE NO_TRANSPOSE</Process>
<Process Date="20210325" Time="150307" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename C:\Users\rainslie\Documents\2021\1)Projects\Portal_21\Geophysics\Data\Airborne\Airborne_Mag_GeoTiffs.gdb\Magnetic_2920AC_Vaalkop_magmicrolevel C:\Users\rainslie\Documents\2021\1)Projects\Portal_21\Geophysics\Data\Airborne\Airborne_Mag_GeoTiffs.gdb\_2920AC_Vaalkop_magmicrolevel RasterDataset</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>2920AC Vaalkop</keyword>
<keyword>Geophysics</keyword>
<keyword>1992</keyword>
</searchKeys>
<idPurp>Airborne magnetic georeferenced tiff image of the Vaalkop area.</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>2920AC Vaalkop Magmicrolevel Geophysics 1992</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
