<?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>carto1000monteria23001000</resTitle>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;DIV STYLE="font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;La cartografía básica escala 1:1.000 del municipio Montería (Córdoba), elaborada en el año 2024 por la Alcaldía de Montería, es un producto generado a partir de fotografías aéreas del sensor FOIF modelo A90 de 2023. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 4.334,4807 ha. &lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<searchKeys>
<keyword>Cartografía</keyword>
<keyword>Montería</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 1:1.000 del municipio Montería (Córdoba), elaborada en el año 2024 por la Alcaldía de Montería, es un producto generado a partir de fotografías aéreas del sensor FOIF modelo A90 de 2023. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 4.334,4807 ha.</idPurp>
<idCredit>IGAC</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20241003</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
