<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="es">
<Esri>
<CreaDate>20260518</CreaDate>
<CreaTime>19545300</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<scaleRange>
<minScale>150000000</minScale>
<maxScale>5000</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Cob_NDFyB_25K_2024_III</resTitle>
</idCitation>
<idPurp>La capa de coberturas de la tierra del periodo Julio 2024 se genera mediante interpretación visual de imágenes satelitales de alta resolución, aplicando la metodología CORINE Land Cover adaptada para Colombia por el Instituto SINCHI. Su actualización es trimestral y se realiza sobre los 22 Núcleos de Desarrollo Forestal y de la Biodiversidad, redelimitando únicamente cambios de cobertura iguales o superiores a 0,3 ha. La capa tiene una cobertura aproximada de 5.000.000 ha en la Amazonia colombiana, en los departamentos de Caquetá, Guaviare, Meta y Putumayo, y cuenta con controles de calidad temática, topológica, de empalmes y del mosaico final.</idPurp>
<idAbs>La capa de coberturas de la tierra del periodo Julio 2024 se genera mediante la interpretación y reinterpretación visual de imágenes satelitales de alta resolución (PlanetScope o Sentinel-2, con píxeles menores o iguales a 10 metros), aplicando la metodología CORINE Land Cover adaptada para Colombia y desarrollada por el Instituto SINCHI. El procedimiento consiste en generar una primera capa como línea base y actualizarla cada tres meses, redelimitando únicamente las áreas que presentan cambios de cobertura. El tamaño mínimo de las coberturas representables en el mapa es de 1,5 ha. Para los territorios artificializados y superficies de agua transformadas por el ser humano, el tamaño mínimo es de 0,3 ha. Mientras las coberturas lineales, deben presentar un ancho mínimo de 25 m. En la reinterpretación solo se consideran los cambios iguales o superiores a 0,3 ha respecto al mapa del periodo anterior, descartando transformaciones de menor extensión. Esta capa pasó por un proceso de control de calidad temática, control de calidad topológico, control de calidad de empalmes y control de calidad del mosaico final. La actualización se realiza cada tres meses sobre los 22 Núcleos de Desarrollo Forestal y de la Biodiversidad (NDFyB). La cobertura parcial abarca aproximadamente 5.000.000 ha de la Amazonia colombiana, distribuidas en los departamentos de Caquetá, Guaviare, Meta y Putumayo.</idAbs>
<idCredit>Instituto Amazónico de Investigaciones Científicas – SINCHI. Capa de coberturas de la tierra en los Núcleos de Desarrollo Forestal y de la Biodiversidad de la Amazonia colombiana. Escala 1:25.000. Programa Modelos de Funcionamiento y Sostenibilidad - Laboratorio de Sistemas de Información Geográfica y Sensoramiento Remoto.</idCredit>
<searchKeys>
<keyword>Monitoreo Ambiental</keyword>
<keyword>Coberturas de la Tierra</keyword>
<keyword>25K</keyword>
<keyword>2024</keyword>
<keyword>Unidades Espaciales de Referencia</keyword>
<keyword>Amazonia Colombiana</keyword>
<keyword>Colombia</keyword>
<keyword>MoSCAL</keyword>
<keyword>Periodo Julio 2024</keyword>
<keyword>NDFyB</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>Esta obra está licenciada bajo una licencia Creative Commons Attribution 4.0 International License.</useLimit>
</Consts>
</resConst>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode>1</exTypeCode>
</GeoBndBox>
</geoEle>
</dataExt>
</dataIdInfo>
<mdHrLv>
<ScopeCd value="005">
</ScopeCd>
</mdHrLv>
<mdDateSt Sync="TRUE">20260518</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
