<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20260717</CreaDate>
<CreaTime>05304700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Cette couche représente les socles des différents radars de vitesse et de surveillance de la signalisation lumineuse.</idAbs>
<searchKeys>
<keyword>Réseaux de distribution</keyword>
<keyword>Transport</keyword>
</searchKeys>
<idPurp>Signalisation lumineuse - Socles de radars</idPurp>
<idCredit>© 2026 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Signalisation lumineuse - Socles de radars</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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=</Data>
</Thumbnail>
</Binary>
</metadata>
