<?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>carto1000cerrito68655011</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 Cerrito ubicado en el municipio Sabana De Torres (Santander), elaborada en el año 2024 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de fotografías aéreas del sensor Vexcel Ultracam Eagle de 2024. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 7,3048 ha.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<searchKeys>
<keyword>Cartografía</keyword>
<keyword>Cerrito</keyword>
<keyword>Sabana De Torres</keyword>
<keyword>Santander</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 Cerrito ubicado en el municipio Sabana De Torres (Santander), elaborada en el año 2024 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de fotografías aéreas del sensor Vexcel Ultracam Eagle de 2024. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 7,3048 ha.</idPurp>
<idCredit>IGAC</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20241029</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
