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<resTitle>Monitoreo del cultivo de arroz en el territorio nacional del primer semestre del 2023. Escala 1:25.000. Septiembre 2024</resTitle>
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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 satelital de coberturas para la detección de áreas productivas del cultivo de arroz 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 de inteligencia artificial con procesamiento en la nube, se cuantifica el área productiva y su ubicación espacial. La información principal utilizada incluye límites departamentales, municipales y veredales, y cartografía básica a escala 1:25.000.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Esta capa delimita semestralmente las áreas agrícolas en estado productivo del cultivo de arroz, utilizando un enfoque basado en monitoreo satelital de coberturas, procesamiento en la nube y algoritmos de inteligencia artificial. Dichas zonas se identifican por presentar alto contenido de biomasa vegetal y vigor foliar, así como dinámicas temporales y geográficas asociadas al manejo agrícola. El objetivo es proporcionar información espacial crítica sobre la ubicación, extensión y cambios en las áreas productivas del cultivo de arroz, apoyando así la toma de decisiones y la planificación de políticas agrícolas efectivas.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Con lo anterior, se obtiene como producto final seis capas geográficas de tipo polígono del monitoreo del cultivo de arroz a nivel nacional para los años 2021, 2022 y 2023, que contiene información de ubicación municipal y departamental, el intervalo de análisis se realiza semestralmente y tres capas geográficas de cambios entre los tres periodos obtenidos en el año a través de una diferencia asimétrica.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Categorías:&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;- Aumento: Los polígonos adicionales entre el periodo 1 y el periodo 2, se clasifican como aumento.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;- Disminución: Los polígonos que desaparecen entre el periodo 1 y el periodo 2, se clasifican como disminución.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idPurp>El objetivo del producto es reportar la delimitación de las áreas productivas de arroz 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>Instituto Geográfico Agustín Codazzi (IGAC). (2012). Cartografía básica, escala 1:100.000.
Unidad de Planificación Rural Agropecuaria (UPRA). (2024). Monitoreo del cultivo de arroz a nivel nacional para el periodo 2021-2023, escala 1:25.000</idCredit>
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<statement>La UPRA ajusPara obtener el monitoreo de arroz se ejecutaron los siguientes pasos:
1. Preparación de los datos: Se realiza un armonización entre las imágenes Sentinel y Planet efectuando una fusión entre ellas.
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 finató con datos de la vigencia 2019, la metodología para el cálculo del índice de informalidad que elaboró en el año 2014.</statement>
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<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Nombre del cultivo</attrdef>
<attrdefs>Unidad de Planificación Rural Agropecuaria - UPRA</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">tipo_cultivo</attrlabl>
<attalias Sync="TRUE">tipo_cultivo</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Categoría del cultivo</attrdef>
<attrdefs>Unidad de Planificación Rural Agropecuaria - UPRA</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">intervalo</attrlabl>
<attalias Sync="TRUE">intervalo</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Intervalo de tiempo de mapeo del cultivo</attrdef>
<attrdefs>Unidad de Planificación Rural Agropecuaria - UPRA</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">periodo</attrlabl>
<attalias Sync="TRUE">periodo</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">10</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Año de mapeo del cultivo</attrdef>
<attrdefs>Unidad de Planificación Rural Agropecuaria - UPRA</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">area_ha</attrlabl>
<attalias Sync="TRUE">area_ha</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">38</atprecis>
<attscale Sync="TRUE">8</attscale>
<attrdef>Área en hectáreas de los polígonos clasificados.</attrdef>
<attrdefs>Unidad de Planificación Rural Agropecuaria - UPRA</attrdefs>
</attr>
<attr>
<attrlabl>consecutivo</attrlabl>
<attalias>consecutivo</attalias>
<attrdef>Identificador único de cada registro.</attrdef>
<attrdefs>Unidad de Planificación Rural Agropecuaria - UPRA</attrdefs>
<attrtype>8</attrtype>
<attwidth>0</attwidth>
<atprecis>0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">st_area(shape)</attrlabl>
<attalias Sync="TRUE">st_area(shape)</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">st_length(shape)</attrlabl>
<attalias Sync="TRUE">st_length(shape)</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<Binary>
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