<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20240822</CreaDate>
<CreaTime>14380900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ISO19139</ArcGISProfile>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>carto1000albania52835104</resTitle>
</idCitation>
<searchKeys>
<keyword>Cartografía</keyword>
<keyword>San Andrés de Tumaco</keyword>
<keyword>Nariño</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 Albania ubicado en el municipio de San Andrés de Tumaco (Nariño), elaborada en el año 2024 por la Agencia Nacional de Tierras (ANT), es un producto generado a partir de fotografías aéreas del sensor IXMRS100F de 2021. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 2,81 ha.</idPurp>
<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 centro poblado Albania ubicado en el municipio de San Andrés de Tumaco (Nariño), elaborada en el año 2024 por la Agencia Nacional de Tierras (ANT), es un producto generado a partir de fotografías aéreas del sensor IXMRS100F de 2021. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 2,81 ha.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>IGAC</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20240926</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
