<?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>carto2000planadas73555000</resTitle>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;La cartografía básica escala 1:2.000 del municipio Planadas (Tolima), elaborada en el año 2020 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de restitución fotogramétrica a partir de fotografías áreas de 2020. El insumo de compilación toponímica es del año 2019. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:2.000 y cubre parcialmente el área del municipio.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<searchKeys>
<keyword>Cartografia</keyword>
<keyword>Planadas</keyword>
<keyword>Tolima</keyword>
</searchKeys>
<idPurp>La cartografía básica escala 1:2.000 del municipio Planadas (Tolima), elaborada en el año 2020 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de restitución fotogramétrica a partir de fotografías áreas de 2020. El insumo de compilación toponímica es del año 2019. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:2.000 y cubre parcialmente el área del municipio.</idPurp>
<idCredit>Instituto Geográfico Agustín Codazzi - IGAC</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20210506</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
