Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal

Aim of study: The study aims to analyse the potential use of lowcost unmanned aerial vehicle (UAV) imagery for the estimation of Pinus pinea L. variables at the individual tree level (position, tree height and crown diameter). Area of study: This study was conducted under the PINEA project focused o...

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Autores: Guerra Hernández, Juan, González Ferreiro, Eduardo, Sarmento, Alexandre, Silva, João, Nunes, Alexandra, Correia, Alexandra C., Fontes, Luis, Tomé, Margarida, Díaz Varela, Ramón Alberto
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universidad de Santiago de Compostela (USC)
Repositorio:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
Idioma:inglés
OAI Identifier:oai:minerva.usc.gal:10347/15882
Acceso en línea:http://hdl.handle.net/10347/15882
Access Level:acceso abierto
Palabra clave:Materias::Investigación::31 Ciencias agrarias::3106 Ciencia forestal
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spelling Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in PortugalGuerra Hernández, JuanGonzález Ferreiro, EduardoSarmento, AlexandreSilva, JoãoNunes, AlexandraCorreia, Alexandra C.Fontes, LuisTomé, MargaridaDíaz Varela, Ramón AlbertoMaterias::Investigación::31 Ciencias agrarias::3106 Ciencia forestalAim of study: The study aims to analyse the potential use of lowcost unmanned aerial vehicle (UAV) imagery for the estimation of Pinus pinea L. variables at the individual tree level (position, tree height and crown diameter). Area of study: This study was conducted under the PINEA project focused on 16 ha of umbrella pine afforestation (Portugal) subjected to different treatments. Material and methods: The workflow involved: a) image acquisition with consumer-grade cameras on board an UAV; b) orthomosaic and digital surface model (DSM) generation using structure-from-motion (SfM) image reconstruction; and c) automatic individual tree segmentation by using a mixed pixel‑and region‑based algorithm. Main results: The results of individual tree segmentation (position, height and crown diameter) were validated using field measurements from 3 inventory plots in the study area. All the trees of the plots were correctly detected. The RMSE values for the predicted heights and crown widths were 0.45 m and 0.63 m, respectively. Research highlights: The results demonstrate that tree variables can be automatically extracted from high resolution imagery. We highlight the use of UAV as a fast, reliable and cost-effective technique for small scale applications.Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)Universidade de Santiago de Compostela. Departamento de BotánicaUniversidade de Santiago de Compostela. Departamento de Enxeñaría AgroforestalÁrea de Enxeñaría e Arquitectura20162016-01-0120162016-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10347/15882reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostelainstname:Universidad de Santiago de Compostela (USC)InglésengFCT SFRH SFRH%2FBD%2F52408%2F2013open accesshttp://purl.org/coar/access_right/c_abf2© 2016 INIA. This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial (by-nc) Spain 3.0 Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.http://creativecommons.org/licenses/by-nc/3.0/es/info:eu-repo/semantics/openAccessoai:minerva.usc.gal:10347/158822026-06-15T12:47:27Z
dc.title.none.fl_str_mv Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal
title Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal
spellingShingle Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal
Guerra Hernández, Juan
Materias::Investigación::31 Ciencias agrarias::3106 Ciencia forestal
title_short Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal
title_full Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal
title_fullStr Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal
title_full_unstemmed Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal
title_sort Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal
dc.creator.none.fl_str_mv Guerra Hernández, Juan
González Ferreiro, Eduardo
Sarmento, Alexandre
Silva, João
Nunes, Alexandra
Correia, Alexandra C.
Fontes, Luis
Tomé, Margarida
Díaz Varela, Ramón Alberto
author Guerra Hernández, Juan
author_facet Guerra Hernández, Juan
González Ferreiro, Eduardo
Sarmento, Alexandre
Silva, João
Nunes, Alexandra
Correia, Alexandra C.
Fontes, Luis
Tomé, Margarida
Díaz Varela, Ramón Alberto
author_role author
author2 González Ferreiro, Eduardo
Sarmento, Alexandre
Silva, João
Nunes, Alexandra
Correia, Alexandra C.
Fontes, Luis
Tomé, Margarida
Díaz Varela, Ramón Alberto
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de Santiago de Compostela. Departamento de Botánica
Universidade de Santiago de Compostela. Departamento de Enxeñaría Agroforestal
Área de Enxeñaría e Arquitectura
dc.subject.none.fl_str_mv Materias::Investigación::31 Ciencias agrarias::3106 Ciencia forestal
topic Materias::Investigación::31 Ciencias agrarias::3106 Ciencia forestal
description Aim of study: The study aims to analyse the potential use of lowcost unmanned aerial vehicle (UAV) imagery for the estimation of Pinus pinea L. variables at the individual tree level (position, tree height and crown diameter). Area of study: This study was conducted under the PINEA project focused on 16 ha of umbrella pine afforestation (Portugal) subjected to different treatments. Material and methods: The workflow involved: a) image acquisition with consumer-grade cameras on board an UAV; b) orthomosaic and digital surface model (DSM) generation using structure-from-motion (SfM) image reconstruction; and c) automatic individual tree segmentation by using a mixed pixel‑and region‑based algorithm. Main results: The results of individual tree segmentation (position, height and crown diameter) were validated using field measurements from 3 inventory plots in the study area. All the trees of the plots were correctly detected. The RMSE values for the predicted heights and crown widths were 0.45 m and 0.63 m, respectively. Research highlights: The results demonstrate that tree variables can be automatically extracted from high resolution imagery. We highlight the use of UAV as a fast, reliable and cost-effective technique for small scale applications.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01
2016
2016-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10347/15882
url http://hdl.handle.net/10347/15882
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv FCT SFRH SFRH%2FBD%2F52408%2F2013
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
http://creativecommons.org/licenses/by-nc/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
http://creativecommons.org/licenses/by-nc/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
publisher.none.fl_str_mv Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
dc.source.none.fl_str_mv reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
instname:Universidad de Santiago de Compostela (USC)
instname_str Universidad de Santiago de Compostela (USC)
reponame_str Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
collection Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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