Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/155912
COMPARTIR / EXPORTAR:
logo share SHARE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Preliminary gully assessment using photo-reconstruction from own-manufactured UAV images

AutorRuano-Castro, Vicente; Castillo, Carlos CSIC ORCID; Gómez Calero, José Alfonso CSIC ORCID ; Pérez Alcántara, Rafael
Fecha de publicaciónabr-2014
CitaciónEGU General Assembly (2014)
ResumenUnmanned Aerial Vehicles (UAV) are becoming increasingly useful in several professional and research fields, among other, in geomorphology applications. UAV helicopters (with one or more rotors) present some advantages compared to fixed wing drones such as the possibility of stationary fly. On the other hand, 3D-photoreconstruction has been successfully applied for gully assessment at the reach scale. The combination of both approaches can result in a substantial reduction of time requirements at the gully network scale. The purpose of this communication is to describe the construction of an UAV with carbor-fiber frame and its fitting for capturing air images. Routes controlled by GPS were programmed in advance using Google Earth. Although an improved design with 8 rotors is in progress, currently the design is equipped with 4 rotors. This new design will allow the use of heavier and more precise cameras. In addition, the isolation of the inner electronic equipment will increase the possibility of use in bad weather. The images obtained by the UAV were processed using 3D-photoreconstruction to derive a digital elevation model of a several-hundred meters gully.
DescripciónTrabajo presentado en la EGU General Assembly 2014 (European Geosciences Union), celebrada en Viena del 27 de abril al 2 de mayo de 2014.
URIhttp://hdl.handle.net/10261/155912
Aparece en las colecciones: (IAS) Comunicaciones congresos




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
accesoRestringido.pdf15,38 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo

CORE Recommender

Page view(s)

177
checked on 24-abr-2024

Download(s)

37
checked on 24-abr-2024

Google ScholarTM

Check


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.