<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20260321</CreaDate>
<CreaTime>04080200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Couche représentant le lac Léman, le Rhône et l'Arve pour production de cartes devant comporter un élément hydrographique sous forme de surface.&lt;br /&gt;Constituée à partir des données de la mensuration (couverture du sol) des cantons de Genève, de Vaud et du Valais, et des données francaises de l'IGN (surface eau).&lt;br /&gt;&lt;br /&gt;L'attribut "Nom" décrit les entités.&lt;br /&gt;La mise à jour est périodique.</idAbs>
<searchKeys>
<keyword>Eaux intérieures</keyword>
</searchKeys>
<idPurp>Emprise du lac Léman (Petit-lac)</idPurp>
<idCredit>© 2026 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Emprise du lac Léman (Petit-lac)</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
