Avances para la vinculación de tecnología de sensoramiento remoto con UAV (Unmanned Aerial Vehicle) para el seguimiento sanitario de plantaciones de palma de aceite.
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Universidad Distrital Francisco José de Caldas
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En este estudio se realizaron algunas aproximaciones a la aplicación del uso de imágenes aéreas obtenidas mediante sensores aerotransportados en Unmanned Aerial Vehicle (UAV, por sus siglas en inglés) para el monitoreo sanitario de plantaciones de palma de aceite de los Llanos Orientales de Colombia, con el fin de presentar esta tecnología como una herramienta útil para apoyar la toma de decisiones de manejo sanitario de las plantaciones de palma aceitera. Para ello, se realizaron vuelos con distintos tipos de plataformas y sensores a varias alturas en lotes de cultivo con diferentes materiales genéticos y condiciones de manejo; se analizaron las imágenes individuales obtenidas con los vuelos; se construyeron ortofotomosaicos de los lotes; y finalmente, se calcularon algunos índices de vegetación.
In this study, some approximations were made to the application of aerial images obtained by means of airborne sensors in UAV, in the sanitary monitoring of oil palm plantations in the eastern plains of Colombia. For this purpose, flights with different types of platforms and sensors were carried out at various heights, in cultivation plots with different genetic materials and management conditions. Analysis of the individual images were made, ortofotomosaics of the lots were constructed and some vegetation indexes were calculated. This technology is presented as a useful tool to support the decision making of sanitary management of oil palm plantations.
In this study, some approximations were made to the application of aerial images obtained by means of airborne sensors in UAV, in the sanitary monitoring of oil palm plantations in the eastern plains of Colombia. For this purpose, flights with different types of platforms and sensors were carried out at various heights, in cultivation plots with different genetic materials and management conditions. Analysis of the individual images were made, ortofotomosaics of the lots were constructed and some vegetation indexes were calculated. This technology is presented as a useful tool to support the decision making of sanitary management of oil palm plantations.