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dc.contributor.authorDíaz Varela, Ramón Alberto
dc.contributor.authorRosa, Raúl de la
dc.contributor.authorLeón, Lorenzo
dc.contributor.authorZarco Tejada, Pablo J.
dc.date.accessioned2020-06-23T10:28:31Z
dc.date.available2020-06-23T10:28:31Z
dc.date.issued2015
dc.identifier.citationDíaz-Varela, R.A.; De la Rosa, R.; León, L.; Zarco-Tejada, P.J. High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction: Application in Breeding Trials. Remote Sens. 2015, 7, 4213-4232
dc.identifier.urihttp://hdl.handle.net/10347/23050
dc.description.abstractThe development of reliable methods for the estimation of crown architecture parameters is a key issue for the quantitative evaluation of tree crop adaptation to environment conditions and/or growing system. In the present work, we developed and tested the performance of a method based on low-cost unmanned aerial vehicle (UAV) imagery for the estimation of olive crown parameters (tree height and crown diameter) in the framework of olive tree breeding programs, both on discontinuous and continuous canopy cropping systems. The workflow involved the image acquisition with consumer-grade cameras on board a UAV and orthomosaic and digital surface model generation using structure-from-motion image reconstruction (without ground point information). Finally, geographical information system analyses and object-based classification were used for the calculation of tree parameters. Results showed a high agreement between remote sensing estimation and field measurements of crown parameters. This was observed both at the individual tree/hedgerow level (relative RMSE from 6% to 20%, depending on the particular case) and also when average values for different genotypes were considered for phenotyping purposes (relative RMSE from 3% to 16%), pointing out the interest and applicability of these data and techniques in the selection scheme of breeding programs.
dc.description.sponsorshipThe authors would like to thank Todolivo S.L. for hosting the hedgerow trial. This work has been partly supported by research projects EM2014-003 funded by “Proxectos Plan Galego de Investigación, Innovación e Crecemento 2011-2015 (Plan I2C)”, from the “Consellería de Cultura, Educación e Ordenación Universitaria. Xunta de Galicia”, RTA2012-00018-C02-01 from the National Institute for Agricultural and Food Research and Technology (INIA), partially funded by the European Regional Development Fund (ERDF) and AGL2012-40053-C03-01 from the Spanish “Ministerio de Economia y Competitividad”. Plant materials evaluated in this work were obtained in the cooperative breeding program carried out by the University of Cordoba and the Institute of Agricultural and Fishery Research and Training (IFAPA).
dc.language.isoeng
dc.publisherMDPI
dc.rights© 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectUnmanned aerial vehicle (UAV)
dc.subjectOlive phenotyping
dc.subjectTree crown architecture
dc.subject3D image modelling
dc.subjectConsumer-grade camera
dc.subjectVery high-resolution imagery
dc.subjectDigital surface model
dc.subjectGeographical object-based image analysis
dc.titleHigh-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction: Application in Breeding Trials
dc.typejournal article
dc.identifier.doi10.3390/rs70404213
dc.relation.publisherversionhttps://doi.org/10.3390/rs70404213
dc.type.hasVersionVoR
dc.identifier.essn2072-4292
dc.rights.accessRightsopen access
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Botánica
dc.description.peerreviewedSI


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© 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/)
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 © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/)





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