Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/23178 https://doi.org/10.1080/01431161.2018.1434329 |
Resumo: | Plantations of typical Mediterranean tree species, such as cork oak (Quercus suber L.), holm oak (Quercus ilex L.), and umbrella pine (Pinus pinea L.), are important for the restoration of forest ecosystems in the region. While traditional forest inventories can provide early problem detection in these plantations, the cost and labour of the required fieldwork may exceed its potential benefits. Unmanned aerial vehicles (UAVs) provide a cheap and practical alternative to traditional inventories and individual tree measurement. We present a method to estimate heights and positions of individual trees, from remotely sensed imagery, obtained using a low-flying UAV with an integrated RGB sensor. In the summer of 2015, a 5 ha stand at the University of Évora was photographed with a low-flying (40 m) hexacopter. A 3D point cloud and orthophoto were created from the images. The point cloud was used to identify local maxima as candidates for tree positions and height estimates. Results showed that the height measured with the UAV was reliable on pines, whereas the reliability for oaks was dependent on the size of the trees: smaller trees were especially problematic as they tended to have an irregular crown shape, resulting in larger errors. However, the error showed a strong trend, and adequate models could be produced to improve the estimates. |
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Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systemsQuercus suberPinus pineaRemote sensinglow-flying UAVtree coodinatestree heightPlantations of typical Mediterranean tree species, such as cork oak (Quercus suber L.), holm oak (Quercus ilex L.), and umbrella pine (Pinus pinea L.), are important for the restoration of forest ecosystems in the region. While traditional forest inventories can provide early problem detection in these plantations, the cost and labour of the required fieldwork may exceed its potential benefits. Unmanned aerial vehicles (UAVs) provide a cheap and practical alternative to traditional inventories and individual tree measurement. We present a method to estimate heights and positions of individual trees, from remotely sensed imagery, obtained using a low-flying UAV with an integrated RGB sensor. In the summer of 2015, a 5 ha stand at the University of Évora was photographed with a low-flying (40 m) hexacopter. A 3D point cloud and orthophoto were created from the images. The point cloud was used to identify local maxima as candidates for tree positions and height estimates. Results showed that the height measured with the UAV was reliable on pines, whereas the reliability for oaks was dependent on the size of the trees: smaller trees were especially problematic as they tended to have an irregular crown shape, resulting in larger errors. However, the error showed a strong trend, and adequate models could be produced to improve the estimates.International Journal of Remote Sensing2018-05-15T16:04:21Z2018-05-152018-02-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/23178http://hdl.handle.net/10174/23178https://doi.org/10.1080/01431161.2018.1434329engPeter Surový, Nuno Almeida Ribeiro & Dimitrios Panagiotidis (2018) Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems, International Journal of Remote Sensing.0143-1161 (Print)1366-5901 (Online)Departamento de Fitotecniasurovy@fld.czu.cznmcar@uevora.ptpanagiotidis@fld.czu.cz578Surový, PeterAlmeida Ribeiro, NunoPanagiotidis, Dimitriosinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:15:04Zoai:dspace.uevora.pt:10174/23178Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:14:02.621937Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems |
title |
Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems |
spellingShingle |
Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems Surový, Peter Quercus suber Pinus pinea Remote sensing low-flying UAV tree coodinates tree height |
title_short |
Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems |
title_full |
Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems |
title_fullStr |
Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems |
title_full_unstemmed |
Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems |
title_sort |
Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems |
author |
Surový, Peter |
author_facet |
Surový, Peter Almeida Ribeiro, Nuno Panagiotidis, Dimitrios |
author_role |
author |
author2 |
Almeida Ribeiro, Nuno Panagiotidis, Dimitrios |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Surový, Peter Almeida Ribeiro, Nuno Panagiotidis, Dimitrios |
dc.subject.por.fl_str_mv |
Quercus suber Pinus pinea Remote sensing low-flying UAV tree coodinates tree height |
topic |
Quercus suber Pinus pinea Remote sensing low-flying UAV tree coodinates tree height |
description |
Plantations of typical Mediterranean tree species, such as cork oak (Quercus suber L.), holm oak (Quercus ilex L.), and umbrella pine (Pinus pinea L.), are important for the restoration of forest ecosystems in the region. While traditional forest inventories can provide early problem detection in these plantations, the cost and labour of the required fieldwork may exceed its potential benefits. Unmanned aerial vehicles (UAVs) provide a cheap and practical alternative to traditional inventories and individual tree measurement. We present a method to estimate heights and positions of individual trees, from remotely sensed imagery, obtained using a low-flying UAV with an integrated RGB sensor. In the summer of 2015, a 5 ha stand at the University of Évora was photographed with a low-flying (40 m) hexacopter. A 3D point cloud and orthophoto were created from the images. The point cloud was used to identify local maxima as candidates for tree positions and height estimates. Results showed that the height measured with the UAV was reliable on pines, whereas the reliability for oaks was dependent on the size of the trees: smaller trees were especially problematic as they tended to have an irregular crown shape, resulting in larger errors. However, the error showed a strong trend, and adequate models could be produced to improve the estimates. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-05-15T16:04:21Z 2018-05-15 2018-02-07T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/23178 http://hdl.handle.net/10174/23178 https://doi.org/10.1080/01431161.2018.1434329 |
url |
http://hdl.handle.net/10174/23178 https://doi.org/10.1080/01431161.2018.1434329 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Peter Surový, Nuno Almeida Ribeiro & Dimitrios Panagiotidis (2018) Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems, International Journal of Remote Sensing. 0143-1161 (Print) 1366-5901 (Online) Departamento de Fitotecnia surovy@fld.czu.cz nmcar@uevora.pt panagiotidis@fld.czu.cz 578 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
International Journal of Remote Sensing |
publisher.none.fl_str_mv |
International Journal of Remote Sensing |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799136622140194816 |