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<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;El gobierno nacional, a través de la Unidad de Planificación Rural Agropecuaria (UPRA), busca promover el uso eficiente del suelo y los recursos naturales mediante el diseño de instrumentos a escalas semidetalladas que identifiquen los suelos con capacidad productiva en el marco del concepto de crecimiento verde (UPRA, 2016). En este contexto, y considerando la importancia de los cultivos y su relevancia en Colombia, se ha implementado un sistema de monitoreo para este cultivo.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;El desarrollo metodológico de este proyecto incluye el diseño e implementación de un sistema de monitoreo para la mascara de cultivos a nivel nacional en Colombia. Este sistema se basa en el procesamiento de imágenes satelitales ópticas y de radar, utilizando datos de Sentinel 1 y Sentinel 2. Mediante el entrenamiento de algoritmos de clasificación con procesamiento en la nube, se cuantifica la cantidad del cultivo existente y su ubicación espacial. La información principal utilizada incluye límites departamentales, municipales&lt;/SPAN&gt;&lt;SPAN&gt;, &lt;/SPAN&gt;&lt;SPAN&gt;veredales y cartografía básica a escala 1:25.000.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>El objetivo es reportar la delimitación de las áreas productivas de la mascara nacional de cultivos para el primer semestre de 2023, determinadas a partir de la detección mediante monitoreo satelital, inteligencia artificial y procesamiento en la nube. Esta capa vectorial permite conocer la ubicación espacial, la extensión y los cambios en las áreas productivas a lo largo del tiempo, con el fin de apoyar las políticas institucionales. </idPurp>
<idCredit>Unidad de Planificación Rural Agropecuaria (UPRA). (2024). Monitoreo de la mascara del área productiva de cultivos a nivel nacional para el periodo 2022-2023, escala 1:25.000.
Instituto Geográfico Agustín Codazzi (IGAC). (2012). Cartografía básica, escala 1:100.000.</idCredit>
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<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Este producto es público para cualquier usuario y no posee información clasificada o reservada, permitiendo su uso sin ir en contravía de la normatividad legal vigente. Para su uso se debe citar la fuente UPRA, esto en observancia de la normatividad de Derechos de Autor. Clasificación de la información: Información Pública de uso externo.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
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<statement>Para obtener el monitoreo de la mascara de cultivos se ejecutaron los siguientes pasos:
1. Preparación de los datos: Se realiza un armonización entre las imágenes Sentinel.
2. Obtención de muestras manuales (polígonos): a través de una revisión visual en las zonas con presencia de papa en estado productivo.
3. Entrenamiento: A partir de las muestras se realiza el entrenamiento de modelos, clasificación y empleando Bosques aleatorios (RF), dividiendo las muestras en un 70% en entrenamiento y un 30 % para validación.
4. Obtención de clasificaciones: Obtención las clasificaciones iniciales por zonas a las cuales se les realiza una máscara de cultivo.
5. Cálculos de las métricas de exactitud: Donde se realizan muestras de evaluación para la validación y exactitud (general, de productor y kappa) del modelo.
6. Aplicación de filtrados: Aplicación de filtrados de tipo modal con el fin de mejorar el efecto de sal y pimienta.
7. Exportación de los resultados: (de ráster a vector), para así finalmente cuantificar áreas en hectáreas del cultivo.
8. Entrega: Esta información precede a ser entregada al especialista temático que hace evaluaciones de calidad y exactitud de las capas temáticas, además de organizar la información en Geodatabase para su disposición final.</statement>
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