How do the weather conditions typical of the polar maritime glaciers in the western Antarctic Peninsula region affect flight operations of fixed-wing drones and how should these be adapted for a successful flight? We tried to answer this research question through a case study for Johnsons and Hurd glaciers, Livingston Island, using a fixed-wing RPAS, in particular, a Trimble UX5 UAV with electric pusher propeller by brushless 700 W motor, chosen for its ability to fly long distances and reach inaccessible areas. We also evaluated the accuracy of the point clouds and digital surface models (DSM) generated by aerial photogrammetry in our case study. The results were validated against ground control points taken by differential GNSS techniques, showing an accuracy of 0.16 ± 0.12 m in the vertical coordinate. Various hypotheses were proposed and flight-tested, based on variables affecting the flight operation and the data collection, namely, gusty winds, low temperatures, battery life, camera configuration, and snow reflectivity. We aim to provide some practical guidelines that can help other researchers using fixed-wing drones under climatic conditions similar to those of the South Shetland Islands. Performance of the drone under harsh weather conditions, the logistical considerations, and the amount of snow at the time of data collection are factors driving the necessary modifications from those of conventional flight operations. We make suggestions concerning wind speed and temperature limitations, and avoidance of sudden fog banks, aimed to improve the planning of flight operations. Finally, we make some suggestions for further research.

Many studies have developed technologies intended to automate the process toward improving sustainability and achieving a circular economy in the construction industry. Despite some research works that have been recently conducted to help construction agents in the management of construction and demolition waste (CDW), developing new CDW monitoring and traceability tools—through a collaborative and integrative approach—is still an urgent challenge. This paper developed a hybrid mobile app for the real-time traceability of construction waste generation and management, where agents involved in CDW management can work together and trace the generation and management of waste. For this, a research method was developed following three stages: (1) planning and design, including identification of the information to be incorporated in the app and the output data; (2) development of the app; and (3) app testing by several construction agents, stressing the benefits and limitations. The developed app allows not only estimating but also tracing the amount of CDW generated in a construction project, ensuring the correct management and control of the waste. In addition, it promotes collaborative work, as the agents involved in CDW management, i.e., construction companies, site managers, truck drivers, waste managers, and management plants, can work together and see in real-time the management of the waste.

En la actualidad la utilización de Modelos Urbanos 3D va más allá del mero soporte de imagen tridimensional para la visualización de nuestro entorno urbano. Los Modelos Urbanos Tridimensionales son en sí mismos herramientas fundamentales para gestionar los distintos fenómenos que ocurren en las ciudades inteligentes. Por tanto se hace necesario generar modelos veraces con el entorno, en los cuales se pueda integrar la información de diseño de edificios BIM con los SIG y otras tecnologías espaciales. La generación en la actualidad de Modelos Urbanos 3D se beneficia de la abundancia de datos procedentes de fuentes de captura de datos que incorporan las últimas tecnologías, como sensores aerotransportados LiDAR, y de la existencia de estándares internacionales como CityGML.En este artículo se presenta una metodología de desarrollo de un Modelo Urbano Tridimensional, basada en datos LiDAR y en el estándar CityGML aplicada a la ciudad de Lorca.

En este artículo se expone parte de los resultados del proyecto SmartCampus UPM, cuyo objetivo fundamental es agilizar la gestión domótica y tradicional del Campus de Montegancedo, sede de la ETSI Informáticos de la Universidad Politécnica de Madrid (UPM). Basado en los modelos definidos para las Infraestructuras de Datos Espaciales (IDE), permite que los usuarios puedan navegar libremente, obtener información sobre los edificios o el mobiliario urbano y la visualización mediante cualquier navegador web de mapas generados en la IDE. En este artículo se expone el desarrollo de la IDE del Campus, de un visor web como cliente ligero para visualizar de forma sencilla los mapas generados como alternativa a los clientes pesados habituales Google Earth y gvSIG, y un servicio web con opciones multimedia.