<?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>carto2000eldorado50270000</resTitle>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;La cartografía básica escala 1:2.000 del municipio El Dorado (Meta), elaborada en el año 2024 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de fotografías aéreas del sensor Vexcel Ultracam Eagle M3 de 2023. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:2.000 y cubre aproximadamente 38,53 ha.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<searchKeys>
<keyword>Cartografía</keyword>
<keyword>El Dorado</keyword>
<keyword>Meta</keyword>
<keyword>Restitución</keyword>
<keyword>Fotogrametría</keyword>
<keyword>Vectorial</keyword>
<keyword>Toponimia</keyword>
<keyword>Altimetría</keyword>
<keyword>Planimetría</keyword>
</searchKeys>
<idPurp>La cartografía básica escala 1:2.000 del municipio El Dorado (Meta), elaborada en el año 2024 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de fotografías aéreas del sensor Vexcel Ultracam Eagle M3 de 2023. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:2.000 y cubre aproximadamente 38,53 ha.</idPurp>
<idCredit>IGAC</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20240516</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
