<?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>carto2000grilloalegre70233008</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 Grillo Alegre ubicado en el municipio El Roble (Sucre), 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 19,11 ha.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</idAbs>
<searchKeys>
<keyword>Cartografía</keyword>
<keyword>El Roble</keyword>
<keyword>Sucre</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 Grillo Alegre ubicado en el municipio El Roble (Sucre), 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 19,11 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>
