<?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>ISO19139</ArcGISProfile>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>carto2000lasflores47268003</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 Las Flores ubicado en el municipio El Retén (Magdalena), elaborada en el año 2025 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de fotografías aéreas del sensor Phase One IXM-RS-100F de 2024. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:2.000 y cubre aproximadamente 16,49 ha.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>Cartografía</keyword>
<keyword>El Retén</keyword>
<keyword>Magdalena</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 Las Flores ubicado en el municipio El Retén (Magdalena), elaborada en el año 2025 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de fotografías aéreas del sensor Phase One IXM-RS-100F de 2024. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:2.000 y cubre aproximadamente 16,49 ha.</idPurp>
<idCredit>IGAC</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20241128</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
