<?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>carto1000balboa19075000</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 municipio Balboa (Cauca), elaborada en el año 2023 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de restitución fotogramétrica a partir de fotografías aéreas de 2022. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 125,37 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>Balboa</keyword>
<keyword>Cauca</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 municipio Balboa (Cauca), elaborada en el año 2023 por el Instituto Geográfico Agustín Codazzi (IGAC), es un producto generado a partir de restitución fotogramétrica a partir de fotografías aéreas de 2022. Este producto cumple con los estándares de planimetría y altimetría de la escala 1:1.000 y cubre aproximadamente 125,37 ha.</idPurp>
<idCredit>IGAC, Consorcio Canadiense</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005"/>
</mdHrLv>
<mdDateSt Sync="TRUE">20230609</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
