• español
    • English
  • English 
    • español
    • English
  • Login
View Item 
  •   DSpace Home
  • Producción Científica
  • Artículos, capítulos, libros...UCO
  • View Item
  •   DSpace Home
  • Producción Científica
  • Artículos, capítulos, libros...UCO
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management

Thumbnail
View/Open
remotesensing-07-12793.pdf (3.546Mb)
Author
Mesas Carrascosa, Francisco Javier
Torres-Sánchez, Jorge
Clavero Rumbao, Inmaculada
García-Ferrer Porras, Alfonso
Borra-Serrano, Irene
López-Granados, Francisca
Peña, José Manuel
Publisher
MDPI
Date
2015
Subject
Drone
Multispectral sensor
Spatial resolution
Spectral discrimination
Flight parameter
METS:
Mostrar el registro METS
PREMIS:
Mostrar el registro PREMIS
Metadata
Show full item record
Abstract
This article describes the technical specifications and configuration of a multirotor unmanned aerial vehicle (UAV) to acquire remote images using a six-band multispectral sensor. Several flight missions were programmed as follows: three flight altitudes (60, 80 and 100 m), two flight modes (stop and cruising modes) and two ground control point (GCP) settings were considered to analyze the influence of these parameters on the spatial resolution and spectral discrimination of multispectral orthomosaicked images obtained using Pix4Dmapper. Moreover, it is also necessary to consider the area to be covered or the flight duration according to any flight mission programmed. The effect of the combination of all these parameters on the spatial resolution and spectral discrimination of the orthomosaicks is presented. Spectral discrimination has been evaluated for a specific agronomical purpose: to use the UAV remote images for the detection of bare soil and vegetation (crop and weeds) for in-season site-specific weed management. These results show that a balance between spatial resolution and spectral discrimination is needed to optimize the mission planning and image processing to achieve every agronomic objective. In this way, users do not have to sacrifice flying at low altitudes to cover the whole area of interest completely
URI
http://hdl.handle.net/10396/15337
Fuente
Remote Sensing 7(10), 12793-12814 (2015)
Versión del Editor
http://dx.doi.org/10.3390/rs71012793
Collections
  • DIGISIC-Artículos, capítulos...
  • Artículos, capítulos, libros...UCO

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
© Biblioteca Universidad de Córdoba
Biblioteca  UCODigital
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics

De Interés

Archivo Delegado/AutoarchivoAyudaPolíticas de Helvia

Compartir


DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
© Biblioteca Universidad de Córdoba
Biblioteca  UCODigital