<?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>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>carto1000pacora52835133</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 centro poblado Pácora 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 IXMRS100F de 2021. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 4,54 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>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 Pácora 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 IXMRS100F de 2021. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 4,54 ha.</idPurp>
<idCredit>IGAC</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20240716</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
