<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20210723</CreaDate>
<CreaTime>13034500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>carto500000colombia2016</resTitle>
</idCitation>
<searchKeys>
<keyword>Colombia</keyword>
<keyword>Cartografía</keyword>
<keyword>Hidrografía</keyword>
<keyword>Relieve</keyword>
<keyword>Planeación</keyword>
<keyword>Terreno</keyword>
</searchKeys>
<idPurp>Cartografía vectorial a escala 1:500.000 con cobertura total de la República de Colombia. Contiene información sobre entidades territoriales, transporte...</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Cartografía vectorial a escala 1:&lt;/SPAN&gt;&lt;SPAN&gt;5&lt;/SPAN&gt;&lt;SPAN&gt;00.000 con cobertura total de la República de Colombia. Contiene información sobre entidades territoriales, transporte terrestre y fluvial, hidrografía, relieve, orografía, construcciones. Se genera a partir de la interpretación de objetos en una imagen ortorectificada provenientes de plataformas satelitales o aerotransportadas.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Instituto Geográfico Agustín Codazzi - IGAC</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
