<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250613</CreaDate>
<CreaTime>16062000</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20250613" Time="160620" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CreateFeatureclass">CreateFeatureclass "\\dtup.sa.gov.au\dfscommon\PolicyAndStrategy\EnterpriseInformation\01_GIS_Adhoc\2025\TAPIPE-9331 Outback Flooding\TAPIPE-9331 Outback Flooding.gdb" Crossings Point # No Yes "PROJCS["GDA2020_South_Australia_Lambert",GEOGCS["GDA2020",DATUM["GDA2020",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1000000.0],PARAMETER["False_Northing",2000000.0],PARAMETER["Central_Meridian",135.0],PARAMETER["Standard_Parallel_1",-28.0],PARAMETER["Standard_Parallel_2",-36.0],PARAMETER["Latitude_Of_Origin",-32.0],UNIT["Meter",1.0]];-37393400 -11839900 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # # # # #</Process>
<Process Date="20250613" Time="160637" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "\\dtup.sa.gov.au\dfscommon\PolicyAndStrategy\EnterpriseInformation\01_GIS_Adhoc\2025\TAPIPE-9331 Outback Flooding\TAPIPE-9331 Outback Flooding.gdb\Crossings" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AddField&gt;&lt;field_name&gt;Name&lt;/field_name&gt;&lt;field_type&gt;TEXT&lt;/field_type&gt;&lt;field_is_nullable&gt;TRUE&lt;/field_is_nullable&gt;&lt;field_length&gt;255&lt;/field_length&gt;&lt;/AddField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
<Process Date="20250613" Time="160650" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\UpdateSchema">UpdateSchema "\\dtup.sa.gov.au\dfscommon\PolicyAndStrategy\EnterpriseInformation\01_GIS_Adhoc\2025\TAPIPE-9331 Outback Flooding\TAPIPE-9331 Outback Flooding.gdb\Crossings" &lt;operationSequence&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;OBJECTID&lt;/field_name&gt;&lt;field_alias&gt;OBJECTID&lt;/field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;workflow&gt;&lt;AlterField&gt;&lt;field_name&gt;SHAPE&lt;/field_name&gt;&lt;field_alias&gt;SHAPE&lt;/field_alias&gt;&lt;/AlterField&gt;&lt;/workflow&gt;&lt;/operationSequence&gt;</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<idPurp>Crossing Features extracted from Flood Mapping Maps</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Crossings</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
