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<resTitle>Monitoreo del cultivo de caña panelera a nivel nacional para año 2023. Escala 1:25:000. Octubre 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 del cultivo de la caña panelera, siendo el tercer cultivo con mayor área sembrada después del café y el plátano según la Encuesta Nacional Agropecuaria para el año 2015, 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 el cultivo de caña panelera inicialmente en 6 departamentos priorizados siendo los de mayor área reportada por las agremiaciones. Este sistema se basa en el procesamiento de imágenes satelitales ópticas y métodos de fusión, utilizando datos de Sentinel 2 y NICFI. 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 y municipales y cartografía básica a escala 1:25.000.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Esta capa delimita anualmente el estado productivo del cultivo de caña panelera, 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 caña panelera, 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 una capa geográfica de tipo polígono del monitoreo del cultivo de caña panelera a nivel nacional para el año 2023, que contiene información de ubicación municipal y departamental. &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 caña panelera para el año 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 y la extensión de las áreas productivas, con el fin de apoyar las políticas institucionales.</idPurp>
<idCredit>Agencia Espacial Europea. (2023). Imagen satelital de Sentinel-1 sobre Colombia, resolución de 10-20m.
Agencia Espacial Europea. (2023). Imagen satelital de Sentinel-2 sobre Colombia, resolución de 10-60m.
Instituto Geográfico Agustín Codazzi (IGAC). (2012). Cartografía básica, escala 1:100.000.
Norwegian International Climate and Forest Initiative (NICFI). (2023). Imagen satelital de Planet sobre Colombia, resolución de 4.7m.
Unidad de Planificación Rural Agropecuaria (UPRA). (2024). Monitoreo del cultivo de caña panelera a nivel nacional del año 2023. Escala 1:25:000. </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 caña panelera se ejecutaron los siguientes pasos:
1. Preparación de los datos: Se realiza una armonización entre las imágenes Sentinel-2 y Planet efectuando una fusión entre ellas.
2. Análisis y Generación de Muestras (Polígonos): A través de una revisión visual en las zonas de caña panelera en estado productivo, Se generan geometrías que representan áreas con y sin caña panelera, las cuales servirán como datos de entrenamiento para los modelos.
3. Definición y Entrenamiento de Modelos: A partir de las muestras se realiza el entrenamiento de modelos, se utiliza un clasificador Random Forest para distinguir entre las áreas de caña panelera y no caña panelera y un modelo de Deep Learning (U-Net) para segmentar las imágenes y obtener máscaras que delimiten las áreas de cultivo de caña panelera.
4. Predicción: Los modelos entrenados se aplican a las imágenes para generar mapas de clasificación que indican la presencia de caña panelera.
5. Validación y Selección: Se evalúa la exactitud de los modelos utilizando métricas como Kappa, matriz de confusión y exactitud de productor y usuario.
6. Post-Procesamiento: Se vectorizan y combinan los resultados de los diferentes modelos y se realiza un análisis espacial para identificar áreas de cultivo. Se eliminan áreas pequeñas y se corrigen errores de clasificación omisión y comisión y se limpian los datos mediante filtros de tipo modal.
7. Generación de estadísticas: Se calculan estadísticas descriptivas sobre el área de cultivo y su distribución a nivel departamental y municipal.
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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<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">5</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef>Código Dane del municipio.</attrdef>
<attrdefs>Unidad de Planificación Rural Agropecuaria - UPRA</attrdefs>
</attr>
<attr>
<attrlabl Sync="TRUE">cultivo</attrlabl>
<attalias Sync="TRUE">cultivo</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">50</attwidth>
<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>Tipo de 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 del mapeo</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>Periodo de mapeo de 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>Integer</attrtype>
<attwidth>8</attwidth>
<atprecis>0</atprecis>
<attscale>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>
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