<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="it">
<Esri>
<CreaDate>20250115</CreaDate>
<CreaTime>12322300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>TavC2_Sensibilita_paesistica</resTitle>
</idCitation>
<idAbs>Carta della sensibilità paesistica dei luoghi</idAbs>
<idPurp>Carta della sensibilità paesistica dei luoghi</idPurp>
<idCredit/>
<searchKeys>
<keyword>TavC2_Sensibilita_paesistica</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
