Height estimation of a clonal Eucalyptus test at different ages using low-altitude aerial imaging
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.18671/scifor.v50.07 http://hdl.handle.net/11449/237545 |
Resumo: | This study evaluated the performance of the estimation of Eucalyptus height using aerial images obtained with a remotely piloted aircraft (RPA). The study area is part of the Cooperative Program on Tolerance of Clonal Eucalyptus by Thermal and Biotic Water Stresses (TECHS-IPEF). Four aerial image acquisitions were carried out at different stages of plant development, evaluating 15 experimental plots, each with a different clone of Eucalyptus. The plots contained 5 rows, spaced at 2.3 m, with 4 plants in each row (also spaced at 2.3 m), totaling 20 trees and 5.06 m(2) per plant. The image acquisition was done using aircrafts with digital cameras that had a sensitivity in the visible spectral region (RGB). The images were synchronized with a global navigation satellite system (GNSS) receiver for geo-referencing the information. The acquisition of stereoscopic images allowed the generation of three-dimensional models that were used to estimate the height of each eucalyptus plant, in each of the four image collections. The heights estimated with the RPA images were compared with height measurements performed in the field by means of linear regressions. The results showed an estimation performance with a coefficient of determination (R-2) value higher than 0.75 and root mean square error (RMSE) lower than 3.94 m. It is concluded that height estimation using aerial images has a high potential for monitoring and evaluation Eucalyptus clones, and can be a useful tool to support the management of these areas. |
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Height estimation of a clonal Eucalyptus test at different ages using low-altitude aerial imagingRemote sensingGeo-processingRemotely piloted aircraftThis study evaluated the performance of the estimation of Eucalyptus height using aerial images obtained with a remotely piloted aircraft (RPA). The study area is part of the Cooperative Program on Tolerance of Clonal Eucalyptus by Thermal and Biotic Water Stresses (TECHS-IPEF). Four aerial image acquisitions were carried out at different stages of plant development, evaluating 15 experimental plots, each with a different clone of Eucalyptus. The plots contained 5 rows, spaced at 2.3 m, with 4 plants in each row (also spaced at 2.3 m), totaling 20 trees and 5.06 m(2) per plant. The image acquisition was done using aircrafts with digital cameras that had a sensitivity in the visible spectral region (RGB). The images were synchronized with a global navigation satellite system (GNSS) receiver for geo-referencing the information. The acquisition of stereoscopic images allowed the generation of three-dimensional models that were used to estimate the height of each eucalyptus plant, in each of the four image collections. The heights estimated with the RPA images were compared with height measurements performed in the field by means of linear regressions. The results showed an estimation performance with a coefficient of determination (R-2) value higher than 0.75 and root mean square error (RMSE) lower than 3.94 m. It is concluded that height estimation using aerial images has a high potential for monitoring and evaluation Eucalyptus clones, and can be a useful tool to support the management of these areas.Univ Sao Paulo, Piracicaba, SP, BrazilUniv Estadual Paulista, UNESP, Botucatu, SP, BrazilSuzano SA, Limeira, SP, BrazilUniv Fed Lavras UFLA, Lavras, MG, BrazilPlantse Treinamento & Consultoria Ltda, Ribeirao Preto, SP, BrazilUniv Estadual Paulista, UNESP, Botucatu, SP, BrazilIpef-inst Pesquisas Estudos FlorestaisUniversidade de São Paulo (USP)Universidade Estadual Paulista (UNESP)Suzano SAUniversidade Federal de Lavras (UFLA)Plantse Treinamento & Consultoria LtdaMartello, MauricioAlvares, Clayton Alcarde [UNESP]Tavares, Tiago RodriguesFiorio, Peterson RicardoCampoe, Otavio Camargo [UNESP]Carneiro, Rafaela Lorenzato2022-11-30T13:38:14Z2022-11-30T13:38:14Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article13http://dx.doi.org/10.18671/scifor.v50.07Scientia Forestalis. Piracicaba: Ipef-inst Pesquisas Estudos Florestais, v. 50, 13 p., 2022.1413-9324http://hdl.handle.net/11449/23754510.18671/scifor.v50.07WOS:000787902900001Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporScientia Forestalisinfo:eu-repo/semantics/openAccess2022-11-30T13:38:14Zoai:repositorio.unesp.br:11449/237545Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:39:29.566751Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Height estimation of a clonal Eucalyptus test at different ages using low-altitude aerial imaging |
title |
Height estimation of a clonal Eucalyptus test at different ages using low-altitude aerial imaging |
spellingShingle |
Height estimation of a clonal Eucalyptus test at different ages using low-altitude aerial imaging Martello, Mauricio Remote sensing Geo-processing Remotely piloted aircraft |
title_short |
Height estimation of a clonal Eucalyptus test at different ages using low-altitude aerial imaging |
title_full |
Height estimation of a clonal Eucalyptus test at different ages using low-altitude aerial imaging |
title_fullStr |
Height estimation of a clonal Eucalyptus test at different ages using low-altitude aerial imaging |
title_full_unstemmed |
Height estimation of a clonal Eucalyptus test at different ages using low-altitude aerial imaging |
title_sort |
Height estimation of a clonal Eucalyptus test at different ages using low-altitude aerial imaging |
author |
Martello, Mauricio |
author_facet |
Martello, Mauricio Alvares, Clayton Alcarde [UNESP] Tavares, Tiago Rodrigues Fiorio, Peterson Ricardo Campoe, Otavio Camargo [UNESP] Carneiro, Rafaela Lorenzato |
author_role |
author |
author2 |
Alvares, Clayton Alcarde [UNESP] Tavares, Tiago Rodrigues Fiorio, Peterson Ricardo Campoe, Otavio Camargo [UNESP] Carneiro, Rafaela Lorenzato |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) Universidade Estadual Paulista (UNESP) Suzano SA Universidade Federal de Lavras (UFLA) Plantse Treinamento & Consultoria Ltda |
dc.contributor.author.fl_str_mv |
Martello, Mauricio Alvares, Clayton Alcarde [UNESP] Tavares, Tiago Rodrigues Fiorio, Peterson Ricardo Campoe, Otavio Camargo [UNESP] Carneiro, Rafaela Lorenzato |
dc.subject.por.fl_str_mv |
Remote sensing Geo-processing Remotely piloted aircraft |
topic |
Remote sensing Geo-processing Remotely piloted aircraft |
description |
This study evaluated the performance of the estimation of Eucalyptus height using aerial images obtained with a remotely piloted aircraft (RPA). The study area is part of the Cooperative Program on Tolerance of Clonal Eucalyptus by Thermal and Biotic Water Stresses (TECHS-IPEF). Four aerial image acquisitions were carried out at different stages of plant development, evaluating 15 experimental plots, each with a different clone of Eucalyptus. The plots contained 5 rows, spaced at 2.3 m, with 4 plants in each row (also spaced at 2.3 m), totaling 20 trees and 5.06 m(2) per plant. The image acquisition was done using aircrafts with digital cameras that had a sensitivity in the visible spectral region (RGB). The images were synchronized with a global navigation satellite system (GNSS) receiver for geo-referencing the information. The acquisition of stereoscopic images allowed the generation of three-dimensional models that were used to estimate the height of each eucalyptus plant, in each of the four image collections. The heights estimated with the RPA images were compared with height measurements performed in the field by means of linear regressions. The results showed an estimation performance with a coefficient of determination (R-2) value higher than 0.75 and root mean square error (RMSE) lower than 3.94 m. It is concluded that height estimation using aerial images has a high potential for monitoring and evaluation Eucalyptus clones, and can be a useful tool to support the management of these areas. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-30T13:38:14Z 2022-11-30T13:38:14Z 2022-01-01 |
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://dx.doi.org/10.18671/scifor.v50.07 Scientia Forestalis. Piracicaba: Ipef-inst Pesquisas Estudos Florestais, v. 50, 13 p., 2022. 1413-9324 http://hdl.handle.net/11449/237545 10.18671/scifor.v50.07 WOS:000787902900001 |
url |
http://dx.doi.org/10.18671/scifor.v50.07 http://hdl.handle.net/11449/237545 |
identifier_str_mv |
Scientia Forestalis. Piracicaba: Ipef-inst Pesquisas Estudos Florestais, v. 50, 13 p., 2022. 1413-9324 10.18671/scifor.v50.07 WOS:000787902900001 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Scientia Forestalis |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
13 |
dc.publisher.none.fl_str_mv |
Ipef-inst Pesquisas Estudos Florestais |
publisher.none.fl_str_mv |
Ipef-inst Pesquisas Estudos Florestais |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808129344638287872 |