<?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>carto2000neira17486000</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 1:2.000 del municipio Neira (Caldas), 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 1:2.000 y cubre aproximadamente 100,95 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>Neira</keyword>
<keyword>Caldas</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 1:2.000 del municipio Neira (Caldas), 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 1:2.000 y cubre aproximadamente 100,95 ha.</idPurp>
<idCredit>IGAC</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>
