<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="it">
<Esri>
<CreaDate>20240917</CreaDate>
<CreaTime>12320400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<lineage>
<Process Date="20240917" Time="123204" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\RegisterWithGeodatabase">RegisterWithGeodatabase C:\Users\giordani\Documents\projects\decreti_geo\decreti_geo\decreti_geo\rischio_idrogeologico_69.sde\rischio_idrogeologico.abdac.abruzzo_g08_3857 objectid shape Polyline "PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]];-20037700 -30241100 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" #</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>PAI</keyword>
<keyword>Abruzzo</keyword>
<keyword>3857</keyword>
<keyword>g08</keyword>
<keyword>solco</keyword>
<keyword>ruscellamento concentrato</keyword>
</searchKeys>
<idPurp>PAI Abruzzo-Sangro; SR: EPSG:3857; Layer: g08 Solco da ruscellamento concentrato; Stato:
- s1, Attivo
- s2, Non attivo
- s3, Quiescente</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>pai_abruzzo_g08_3857</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
