DISEÑO Y CONSTRUCCIÓN DE UN DRON DE BAJO COSTO PARA ADQUISICIÓN DE DATOS DEL CLIMA

En este artículo se muestra la primera etapa de construcción de un dron que permite obtener, mediante sensores, datos sobre temperatura y humedad del entorno, indicando la ubicación geográfica de cada dato con un módulo GPS y almacenando los datos en una tarjeta MicroSD.  El control a distancia del dron se realiza mediante comunicación Bluetooth, usando dispositivos con sistema operativo Android, y la tarjeta open source CC3D.  El fin es utilizar el dron en el campo de investigación de recolección datos del clima, indicando la posición de cada punto del entorno, con bajo costo y rápida implementación, como tradicionalmente se hace. Se decidió construirlo debido a que los drones que se comercializan sólo tienen captura de imágenes o video en tiempo real, y su uso es de gran utilidad para nuestra sociedad en el monitoreo inmediato del clima ante posibles situaciones de revisión inmediata

SLIC SUPERPIXELS FOR OBJECT DELINEATION FROM UAV DATA

Unmanned aerial vehicles (UAV) are increasingly investigated with regard to their potential to create and update (cadastral) maps. UAVs provide a flexible and low-cost platform for high-resolution data, from which object outlines can be accurately delineated. This delineation could be automated with image analysis methods to improve existing mapping procedures that are cost, time and labor intensive and of little reproducibility. This study investigates a superpixel approach, namely simple linear iterative clustering (SLIC), in terms of its applicability to UAV data. The approach is investigated in terms of its applicability to high-resolution UAV orthoimages and in terms of its ability to delineate object outlines of roads and roofs. Results show that the approach is applicable to UAV orthoimages of 0.05 m GSD and extents of 100 million and 400 million pixels. Further, the approach delineates the objects with the high accuracy provided by the UAV orthoimages at completeness rates of up to 64 %. The approach is not suitable as a standalone approach for object delineation. However, it shows high potential for a combination with further methods that delineate objects at higher correctness rates in exchange of a lower localization quality. This study provides a basis for future work that will focus on the incorporation of multiple methods for an interactive, comprehensive and accurate object delineation from UAV data. This aims to support numerous application fields such as topographic and cadastral mapping