<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20211126</CreaDate>
<CreaTime>16250800</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>potencialusoataco73067</resTitle>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;Este producto es generado por la Subdirección de Agrología del Instituto Geográfico Agustín Codazzi - IGAC, para el municipio de Ataco (Tolima) a escala 1:25.000.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</idAbs>
<idPurp>Este producto es generado por la Subdirección de Agrología del Instituto Geográfico Agustín Codazzi - IGAC, para el municipio de Ataco (Tolima) a escala...</idPurp>
<idCredit>Instituto Geográfico Agustín Codazzi - IGAC</idCredit>
<searchKeys>
<keyword>Potencial</keyword>
<keyword>Uso</keyword>
<keyword>Ataco</keyword>
<keyword>Tolima</keyword>
<keyword>Igac</keyword>
<keyword>Agrologia</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
