<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20230306</CreaDate>
<CreaTime>08290400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>model_ombres_50cm_hibrid_25831</resTitle>
</idCitation>
<idAbs>Mapa híbrid del model digital d'ombres de l'àrea metropolitana de Barcelona, elaborat a partir del mapa topogràfic metropolità 1:1000.</idAbs>
<searchKeys>
<keyword>#MDS #MDT #AMB #GeoportalCartografia #GeoportalCartografiaAMB #MapaHibrid #ModelOmbres</keyword>
</searchKeys>
<idPurp>Mapa híbrid del model digital d'ombres de l'AMB</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
