<?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>carto1000cerropetrona23586007</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 1:1.000 del centro poblado Cerropetrona ubicado en el municipio de Purísima de la Concepción (Córdoba), elaborada en el año 2022 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de restitución fotogramétrica a partir de fotografías aéreas de 2022. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 8,99 ha.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<searchKeys>
<keyword>Cartografía</keyword>
<keyword>Córdoba</keyword>
<keyword>Purísima</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 1:1.000 del centro poblado Cerropetrona ubicado en el municipio de Purísima de la Concepción (Córdoba), elaborada en el año 2022 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de restitución fotogramétrica a partir de fotografías aéreas de 2022. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 8,99 ha.</idPurp>
<idCredit>IGAC, Consorcio Canadiense</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20230526</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
