<?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>carto2000lasmarias23079019</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 Marías ubicado en el municipio Buenavista (Córdoba), elaborada en el año 2024 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de fotografías aéreas del sensor CityMapper de 2024. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:2.000 y cubre aproximadamente 30,82 ha.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>Cartografía</keyword>
<keyword>Las Marías</keyword>
<keyword>Buenavista</keyword>
<keyword>Córdoba</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 Marías ubicado en el municipio Buenavista (Córdoba), elaborada en el año 2024 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de fotografías aéreas del sensor CityMapper de 2024. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:2.000 y cubre aproximadamente 30,82 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>
