<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210422</CreaDate>
<CreaTime>13233700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>carto2000pacoa97511000</resTitle>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;DIV STYLE="font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;La cartografía básica escala 1:2.000 del municipio Pacoa (Vaupés), elaborada en el año 2022 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de restitución fotogramétrica a partir de fotografías áreas de 2022. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:2.000 y cubre parcialmente el área del municipio, aproximadamente 95,105 ha.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<searchKeys>
<keyword>Cartografia</keyword>
<keyword>Pacoa</keyword>
<keyword>Vaupés</keyword>
<keyword>Colombia</keyword>
<keyword>Altimetría</keyword>
<keyword>Planimetría</keyword>
<keyword>Relieve</keyword>
<keyword>Hidrografía</keyword>
<keyword>Planeación</keyword>
</searchKeys>
<idPurp>La cartografía básica escala 1:2.000 del municipio Pacoa (Vaupés), elaborada en el año 2022 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto...</idPurp>
<idCredit>Instituto Geográfico Agustín Codazzi - IGAC</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20220601</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
