Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands

High spatial resolution imagery provided by unmanned aerial vehicles (UAVs) can yield accurate and efficient estimation of tree dimensions and canopy structural variables at the local scale. We flew a low-cost, lightweight UAV over an experimental Pinus pinea L. plantation (290 trees distributed ove...

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Autores: Guerra Hernández, Juan, González Ferreiro, Eduardo, Monleón, Vicente, Faias, Sonia, Tomé, Margarida, Díaz Varela, Ramón Alberto
Tipo de recurso: artículo
Fecha de publicación:2017
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:10347/17618
Acceso en línea:http://hdl.handle.net/10347/17618
Access Level:acceso abierto
Palabra clave:Materias::Investigación::31 Ciencias agrarias::3106 Ciencia forestal::310608 Silvicultura
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spelling Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea standsGuerra Hernández, JuanGonzález Ferreiro, EduardoMonleón, VicenteFaias, SoniaTomé, MargaridaDíaz Varela, Ramón AlbertoMaterias::Investigación::31 Ciencias agrarias::3106 Ciencia forestal::310608 SilviculturaHigh spatial resolution imagery provided by unmanned aerial vehicles (UAVs) can yield accurate and efficient estimation of tree dimensions and canopy structural variables at the local scale. We flew a low-cost, lightweight UAV over an experimental Pinus pinea L. plantation (290 trees distributed over 16 ha with different fertirrigation treatments) to determine the tree positions and to estimate individual tree height (h), diameter (d), biomass (wa), as well as changes in these variables between 2015 and 2017. We used Structure from Motion (SfM) and 3D point cloud filtering techniques to generate the canopy height model and object-based image analysis to delineate individual tree crowns (ITC). ITC results were validated using accurate field measurements over a subsample of 50 trees. Comparison between SfM-derived and field-measured h yielded an R2 value of 0.96. Regressions using SfM-derived variables as explanatory variables described 79% and 86–87% of the variability in d and wa, respectively. The height and biomass growth estimates across the entire study area for the period 2015–2017 were 0.45 m ± 0.12 m and 198.7 ± 93.9 kg, respectively. Significant differences (t-test) in height and biomass were observed at the end of the study period. The findings indicate that the proposed method could be used to derive individual-tree variables and to detect spatio-temporal changes, highlighting the potential role of UAV-derived imagery as a forest management toolMDPIUniversidade de Santiago de Compostela. Departamento de BotánicaUniversidade de Santiago de Compostela. Departamento de Produción Vexetal e Proxectos de EnxeñaríaÁrea de Enxeñaría e Arquitectura20172017-01-0120172017-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10347/17618reponame:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostelainstname:Universidad de Santiago de Compostela (USC)InglésengEuropean Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 691149European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 691149FCT SFRH SFRH%2FBD%2F52408%2F2013open accesshttp://purl.org/coar/access_right/c_abf2© 2017 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/)http://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:minerva.usc.gal:10347/176182026-06-15T12:47:27Z
dc.title.none.fl_str_mv Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands
title Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands
spellingShingle Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands
Guerra Hernández, Juan
Materias::Investigación::31 Ciencias agrarias::3106 Ciencia forestal::310608 Silvicultura
title_short Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands
title_full Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands
title_fullStr Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands
title_full_unstemmed Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands
title_sort Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands
dc.creator.none.fl_str_mv Guerra Hernández, Juan
González Ferreiro, Eduardo
Monleón, Vicente
Faias, Sonia
Tomé, Margarida
Díaz Varela, Ramón Alberto
author Guerra Hernández, Juan
author_facet Guerra Hernández, Juan
González Ferreiro, Eduardo
Monleón, Vicente
Faias, Sonia
Tomé, Margarida
Díaz Varela, Ramón Alberto
author_role author
author2 González Ferreiro, Eduardo
Monleón, Vicente
Faias, Sonia
Tomé, Margarida
Díaz Varela, Ramón Alberto
author2_role 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 Produción Vexetal e Proxectos de Enxeñaría
Área de Enxeñaría e Arquitectura
dc.subject.none.fl_str_mv Materias::Investigación::31 Ciencias agrarias::3106 Ciencia forestal::310608 Silvicultura
topic Materias::Investigación::31 Ciencias agrarias::3106 Ciencia forestal::310608 Silvicultura
description High spatial resolution imagery provided by unmanned aerial vehicles (UAVs) can yield accurate and efficient estimation of tree dimensions and canopy structural variables at the local scale. We flew a low-cost, lightweight UAV over an experimental Pinus pinea L. plantation (290 trees distributed over 16 ha with different fertirrigation treatments) to determine the tree positions and to estimate individual tree height (h), diameter (d), biomass (wa), as well as changes in these variables between 2015 and 2017. We used Structure from Motion (SfM) and 3D point cloud filtering techniques to generate the canopy height model and object-based image analysis to delineate individual tree crowns (ITC). ITC results were validated using accurate field measurements over a subsample of 50 trees. Comparison between SfM-derived and field-measured h yielded an R2 value of 0.96. Regressions using SfM-derived variables as explanatory variables described 79% and 86–87% of the variability in d and wa, respectively. The height and biomass growth estimates across the entire study area for the period 2015–2017 were 0.45 m ± 0.12 m and 198.7 ± 93.9 kg, respectively. Significant differences (t-test) in height and biomass were observed at the end of the study period. The findings indicate that the proposed method could be used to derive individual-tree variables and to detect spatio-temporal changes, highlighting the potential role of UAV-derived imagery as a forest management tool
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01
2017
2017-01-01
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/10347/17618
url http://hdl.handle.net/10347/17618
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 691149
European Commission http://dx.doi.org/10.13039/501100000780 Horizon 2020 Framework Programme 691149
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-sa/4.0/
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-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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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