<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210426</CreaDate>
<CreaTime>20382300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>pendientescolombia</resTitle>
</idCitation>
<searchKeys>
<keyword>Pendiente</keyword>
<keyword>Colombia</keyword>
<keyword>STRM30</keyword>
<keyword>GEOCOL2004</keyword>
</searchKeys>
<idPurp>Producto generado por el Instituto Geográfico Agustín Codazzi en el año 2019 que muestra el porcentaje de pendiente en el territorio nacional clasificado en...</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;font-size:12pt"&gt;&lt;P&gt;&lt;SPAN&gt;Producto generado por el Instituto Geográfico Agustín Codazzi en el año 2019 que muestra el porcentaje de pendiente en el territorio nacional clasificado en tres categorías; plana (0 – 7%), inclinada (7%-14%) y empinada (&amp;gt;14%). Esta clasificación tiene como insumo un MDE (modelo digital de elevación) con resolución espacial de 30 metros de la Misión Topográfica Shuttle Radar conocida como SRTM del año 2019, reducido con el modelo geoidal GEOCOL2004.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Instituto Geográfico Agustín Codazzi - IGAC</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
