<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
<Esri>
<CreaDate>20231211</CreaDate>
<CreaTime>15172900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<DataProperties>
<itemProps>
<itemLocation>
<linkage Sync="TRUE">file://\\nasadm01.ge-admin.ad.etat-ge.ch\uo$\UO5303\24_DIR_LAC-RHONE\9 Mobilité douce\projets géomatiques\01_DONNEE_REFERENCE\03_DATA\37_DOUANES_MD\DOUANES_MD.gdb</linkage>
<protocol Sync="TRUE">Local Area Network</protocol>
</itemLocation>
</itemProps>
<lineage>
<Process Date="20231211" Time="152142" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\CopyMultiple">CopyMultiple "'S:\UO5303\24_DIR_LAC-RHONE\9 Mobilité douce\projets géomatiques\01_DONNEE_REFERENCE\03_DATA\37_DOUANES_MD\MD_Constats_20231205.gdb\Constats' FeatureClass;'S:\UO5303\24_DIR_LAC-RHONE\9 Mobilité douce\projets géomatiques\01_DONNEE_REFERENCE\03_DATA\37_DOUANES_MD\MD_Constats_20231205.gdb\MD_Constats_Constats_Relances_1' RelationshipClass;'S:\UO5303\24_DIR_LAC-RHONE\9 Mobilité douce\projets géomatiques\01_DONNEE_REFERENCE\03_DATA\37_DOUANES_MD\MD_Constats_20231205.gdb\MD_Constats_md_constats_constats__ATTACH_1' Table;'S:\UO5303\24_DIR_LAC-RHONE\9 Mobilité douce\projets géomatiques\01_DONNEE_REFERENCE\03_DATA\37_DOUANES_MD\MD_Constats_20231205.gdb\MD_Constats_md_constats_constats__ATTACHREL_1' RelationshipClass;'S:\UO5303\24_DIR_LAC-RHONE\9 Mobilité douce\projets géomatiques\01_DONNEE_REFERENCE\03_DATA\37_DOUANES_MD\MD_Constats_20231205.gdb\Relances' Table" "S:\UO5303\24_DIR_LAC-RHONE\9 Mobilité douce\projets géomatiques\01_DONNEE_REFERENCE\03_DATA\37_DOUANES_MD\DOUANES_MD.gdb" Constats;MD_Constats_Constats_Relances_1;MD_Constats_md_constats_constats__ATTACH_1;MD_Constats_md_constats_constats__ATTACHREL_1;Relances "Constats FeatureClass Constats #;MD_Constats_Constats_Relances_1 RelationshipClass MD_Constats_Constats_Relances_1 #;MD_Constats_md_constats_constats__ATTACHREL_1 RelationshipClass MD_Constats_md_constats_constats__ATTACHREL_1 #;MD_Constats_md_constats_constats__ATTACH_1 TableDataset MD_Constats_md_constats_constats__ATTACH_1 #;Relances TableDataset Relances #"</Process>
<Process Date="20231211" Time="154839" ToolSource="c:\program files\arcgis\pro\Resources\ArcToolbox\toolboxes\Data Management Tools.tbx\Rename">Rename "S:\UO5303\24_DIR_LAC-RHONE\9 Mobilité douce\projets géomatiques\01_DONNEE_REFERENCE\03_DATA\37_DOUANES_MD\DOUANES_MD.gdb\Constats" "S:\UO5303\24_DIR_LAC-RHONE\9 Mobilité douce\projets géomatiques\01_DONNEE_REFERENCE\03_DATA\37_DOUANES_MD\DOUANES_MD.gdb\Constats_20231205" FeatureClass</Process>
</lineage>
</DataProperties>
</Esri>
<dataIdInfo>
<idAbs/>
<searchKeys>
<keyword>DOUANES</keyword>
</searchKeys>
<idPurp>il s'agit des passages au douanes réalisés avec application Constat_MD</idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>CONSTAT_DOUANES_2023</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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=
</Data>
</Thumbnail>
</Binary>
</metadata>
