<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20210716</CreaDate>
<CreaTime>14155500</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>clasificacionsuelopot</resTitle>
</idCitation>
<searchKeys>
<keyword>Clasificación</keyword>
<keyword>Suelos</keyword>
<keyword>POT</keyword>
<keyword>IGAC</keyword>
</searchKeys>
<idPurp>En el marco de la competencia constitucional municipal y Ley 388 de 1997. Los planes de ordenamiento territorial - POT clasifican el territorio de los municipios y distritos en suelo urbano, rural y de expansión urbana. Al interior de estas clases se establecen las categorías de suburbano y de protección, de conformidad con los criterios generales establecidos en las normas que lo modifiquen, complementen o sustituyan.</idPurp>
<idAbs>&lt;div style='text-align:Left;font-size:12pt'&gt;&lt;p&gt;&lt;span&gt;En el marco de la competencia constitucional municipal y Ley 388 de 1997. Los planes de ordenamiento territorial - POT clasifican el territorio de los municipios y distritos en suelo urbano, rural y de expansión urbana. Al interior de estas clases se establecen las categorías de suburbano y de protección, de conformidad con los criterios generales establecidos en las normas que lo modifiquen, complementen o sustituyan.&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">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
