<?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>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>carto1000candelillasdelamar52835187</resTitle>
</idCitation>
<searchKeys>
<keyword>Cartografía</keyword>
<keyword>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 Candelillas de la Mar ubicado en el municipio de Tumaco (Nariño), elaborada en el año 2024 por la Agencia Nacional de Tierras, es un producto generado a partir de fotografías aéreas del sensor IXMRS-100F de 2021. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 4,26 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 STYLE="text-align:Justify;"&gt;&lt;SPAN&gt;La cartografía básica escala 1:1.000 del centro poblado Candelillas de la Mar ubicado en el municipio de Tumaco (Nariño), elaborada en el año 2024 por la Agencia Nacional de Tierras, es un producto generado a partir de fotografías aéreas del sensor IXMRS-100F de 2021. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 4,26 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">20240829</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
