<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20180522</CreaDate>
<CreaTime>15254200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>FGDC CSDGM Metadata</ArcGISstyle>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Seamlines for the 2016 SPOT 6 and 7 imagery shows the location and size of SPOT scenes that were used to create the mosaic that covers roughly 2/3 of the province. Date information is available for each SPOT scene. Use in conjuncture with the 2016 SPOT RGB and CIR imagery, which has been delivered orthorectified, pre-mosaicked, and cut into 1:50K NTS tiles.</idAbs>
<searchKeys>
<keyword>SPOT</keyword>
<keyword>SGIC</keyword>
<keyword>flysask</keyword>
<keyword>Index</keyword>
<keyword>Acquisition</keyword>
<keyword>Date</keyword>
</searchKeys>
<idPurp>2016 SPOT 6 and 7 seamlines for RGB and CIR imagery coving the majority of Saskatchewan purchased by the Saskatchewan Geospatial Imagery Collaborative (SGIC).</idPurp>
<idCredit>© [2016] Planet Labs Geomatics Corp.</idCredit>
<resConst>
<Consts>
<useLimit>View only to public, no download</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>SGIC_SPOT_Seamlines_2016</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
