<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20260210</CreaDate>
<CreaTime>14081200</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Une des 5 classes d'entités constituant le modèle 3D des bâtiments.&lt;br /&gt;Les superstructures du bâtiment correspondent aux éléments de toits dont la superficie est comprise entre 1 et 9 mètres carrés (chien-assis, cheminées...). Elles sont décomposées en 2classes d'entités : les "facades des superstructures" (éléments verticaux) et les "toits des superstructures" (couverture).</idAbs>
<searchKeys>
<keyword>Constructions et ouvrages</keyword>
<keyword>190_PUBLISHVECTORS_PUBLISHING</keyword>
<keyword>190_PUBLISHVECTORS_6d9798ec0afc429483fffb77374caa74</keyword>
</searchKeys>
<idPurp>Toit 3D des superstructures du bâtiment</idPurp>
<idCredit>© 2026 SITG</idCredit>
<resConst>
<Consts>
<useLimit>Accès libre</useLimit>
</Consts>
</resConst>
<idCitation>
<resTitle>Toit 3D des superstructures du bâtiment</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
</Thumbnail>
</Binary>
</metadata>
