<?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>carto10000sanvicentedelcaguan18753</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 1:10.000 del centro poblado ubicado en el municipio San Vicente Del Caguán (Caquetá), elaborada en el año 2024 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de fotografías aéreas del sensor Pleiades1A PMS de 2022. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:10.000 y cubre aproximadamente 1355924,03 ha.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>Cartografía</keyword>
<keyword>San Vicente Del Caguán</keyword>
<keyword>Caquetá</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 1:10.000 del centro poblado ubicado en el municipio San Vicente Del Caguán (Caquetá), elaborada en el año 2024 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de fotografías aéreas del sensor Pleiades1A PMS de 2022. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:10.000 y cubre aproximadamente 1355924,03 ha.</idPurp>
<idCredit>IGAC</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20241001</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
