<?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>carto2000sanisidro50270002</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 centro poblado San Isidro ubicado en el municipio El Dorado (Meta), elaborada en el año 2023 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 15,40 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 centro poblado San Isidro ubicado en el municipio El Dorado (Meta), elaborada en el año 2023 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 15,40 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>
