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<metadata xml:lang="en">
<Esri>
<CreaDate>20210917</CreaDate>
<CreaTime>17094300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Synthetic streamlines modelled off a 1m LIDAR DEM for Greater Wellington Region, 2016. Created using automated tools based off a 1m cell size DEM which was created from LIDAR data analysis. Data clipped by Topo50 map sheet extents. Original LIDAR data captured at 1.3 points per square metre, to an accuracy of +/- 0.15m (1 sigma) in 2013-2014.</idAbs>
<searchKeys>
<keyword>Streams</keyword>
<keyword>Watercourses</keyword>
<keyword>Wellington</keyword>
<keyword>LIDAR</keyword>
<keyword>Topography</keyword>
</searchKeys>
<idPurp>Synthetic streamlines modelled off a 1m LIDAR DEM for Greater Wellington Region, 2016</idPurp>
<idCredit>GWRC</idCredit>
<resConst>
<Consts>
<useLimit>CC-BY 4.0 applies</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>GWRC Open Data Streams</resTitle>
</idCitation>
</dataIdInfo>
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