<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20161003</CreaDate>
<CreaTime>12382100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Scan des feuilles 70, 74,... michelin 1936 assemblées et recalé sur un fond france raster de l'IGN.
Se scan a été réalisé initialement pour servir de fond cartographie géo historique aux cartes et au site internet du musée de la résistance et de la déportation de Nantua (Ain).
Il est utilisé pour présenter tous les thèmes en rapport avec la période d’Occupation en les localisant sur autant de cartes de L’Ain / Haut-Jura.
scan réalisé à partir des plans papier par les archives du département de l'Ain, assemblage et recalage réaliser par le service observatoire et géomatique, le tous en 2012.</idAbs>
<searchKeys>
<keyword>michelin</keyword>
<keyword>archive</keyword>
<keyword>histoire</keyword>
</searchKeys>
<idPurp>scan cartes michelin 1936</idPurp>
<idCredit>Michelin 1936</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>scan michelin 1936</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
