<?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>carto1000elbajito52835063</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 El Bajito 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 7,51 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>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 El Bajito 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 7,51 ha.</idPurp>
<idCredit>IGAC</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20240806</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
