Stem modelling of eucalyptus by terrestrial laser scanning

Detalhes bibliográficos
Autor(a) principal: Buck, André Leonardo Bortolotto
Data de Publicação: 2019
Outros Autores: Lingnau, Christel, Neto, Sylvio Péllico, Machado, Álvaro Muriel Lima, Martins-Neto, Rorai Pereira [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/2179-8087.012516
http://hdl.handle.net/11449/188010
Resumo: The objective of this work was to obtain the stem volume from 3D-cloud points generated by terrestrial laser scanning in Eucalyptus stands. The processing started with using algorithms for tree detection in plantation (TDP) and stem filtering (Filter Dmax). Then, the acquisition of the total height was made semi-automatically and tridimensional modelling was performed through the adjustment of circumferences (AC) and the so-called triangulated irregular network (TIN). The results were compared with field data and conventional stem volume measurements. The detection accuracy was 100% for the trees in the plots while filtering reached 70% of the stem surface. The total height presented R2 = 0.98 and residuals less than 5%. The estimated volumes, analyzed in sections with a length of 2 m, were in average smaller than that obtained by the conventional Smalian method. The occlusion of points in the tree crown precluded obtaining the total stem volume.
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spelling Stem modelling of eucalyptus by terrestrial laser scanningPoint cloudStem volumeThree-dimensional modellingThe objective of this work was to obtain the stem volume from 3D-cloud points generated by terrestrial laser scanning in Eucalyptus stands. The processing started with using algorithms for tree detection in plantation (TDP) and stem filtering (Filter Dmax). Then, the acquisition of the total height was made semi-automatically and tridimensional modelling was performed through the adjustment of circumferences (AC) and the so-called triangulated irregular network (TIN). The results were compared with field data and conventional stem volume measurements. The detection accuracy was 100% for the trees in the plots while filtering reached 70% of the stem surface. The total height presented R2 = 0.98 and residuals less than 5%. The estimated volumes, analyzed in sections with a length of 2 m, were in average smaller than that obtained by the conventional Smalian method. The occlusion of points in the tree crown precluded obtaining the total stem volume.Sul Florestas Geo Engenharia (SFGEO)Universidade Federal do Paraná (UFPR)Universidade Estadual Paulista 'Júlio de Mesquita Filho' (FCT/UNESP)Universidade Estadual Paulista 'Júlio de Mesquita Filho' (FCT/UNESP)Sul Florestas Geo Engenharia (SFGEO)Universidade Federal do Paraná (UFPR)Universidade Estadual Paulista (Unesp)Buck, André Leonardo BortolottoLingnau, ChristelNeto, Sylvio PéllicoMachado, Álvaro Muriel LimaMartins-Neto, Rorai Pereira [UNESP]2019-10-06T15:54:22Z2019-10-06T15:54:22Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1590/2179-8087.012516Floresta e Ambiente, v. 26, n. 4, 2019.2179-80871415-0980http://hdl.handle.net/11449/18801010.1590/2179-8087.012516S2179-808720190004001192-s2.0-85071246092S2179-80872019000400119.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengFloresta e Ambienteinfo:eu-repo/semantics/openAccess2023-11-02T06:09:04Zoai:repositorio.unesp.br:11449/188010Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-02T06:09:04Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Stem modelling of eucalyptus by terrestrial laser scanning
title Stem modelling of eucalyptus by terrestrial laser scanning
spellingShingle Stem modelling of eucalyptus by terrestrial laser scanning
Buck, André Leonardo Bortolotto
Point cloud
Stem volume
Three-dimensional modelling
title_short Stem modelling of eucalyptus by terrestrial laser scanning
title_full Stem modelling of eucalyptus by terrestrial laser scanning
title_fullStr Stem modelling of eucalyptus by terrestrial laser scanning
title_full_unstemmed Stem modelling of eucalyptus by terrestrial laser scanning
title_sort Stem modelling of eucalyptus by terrestrial laser scanning
author Buck, André Leonardo Bortolotto
author_facet Buck, André Leonardo Bortolotto
Lingnau, Christel
Neto, Sylvio Péllico
Machado, Álvaro Muriel Lima
Martins-Neto, Rorai Pereira [UNESP]
author_role author
author2 Lingnau, Christel
Neto, Sylvio Péllico
Machado, Álvaro Muriel Lima
Martins-Neto, Rorai Pereira [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Sul Florestas Geo Engenharia (SFGEO)
Universidade Federal do Paraná (UFPR)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Buck, André Leonardo Bortolotto
Lingnau, Christel
Neto, Sylvio Péllico
Machado, Álvaro Muriel Lima
Martins-Neto, Rorai Pereira [UNESP]
dc.subject.por.fl_str_mv Point cloud
Stem volume
Three-dimensional modelling
topic Point cloud
Stem volume
Three-dimensional modelling
description The objective of this work was to obtain the stem volume from 3D-cloud points generated by terrestrial laser scanning in Eucalyptus stands. The processing started with using algorithms for tree detection in plantation (TDP) and stem filtering (Filter Dmax). Then, the acquisition of the total height was made semi-automatically and tridimensional modelling was performed through the adjustment of circumferences (AC) and the so-called triangulated irregular network (TIN). The results were compared with field data and conventional stem volume measurements. The detection accuracy was 100% for the trees in the plots while filtering reached 70% of the stem surface. The total height presented R2 = 0.98 and residuals less than 5%. The estimated volumes, analyzed in sections with a length of 2 m, were in average smaller than that obtained by the conventional Smalian method. The occlusion of points in the tree crown precluded obtaining the total stem volume.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-06T15:54:22Z
2019-10-06T15:54:22Z
2019-01-01
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/10.1590/2179-8087.012516
Floresta e Ambiente, v. 26, n. 4, 2019.
2179-8087
1415-0980
http://hdl.handle.net/11449/188010
10.1590/2179-8087.012516
S2179-80872019000400119
2-s2.0-85071246092
S2179-80872019000400119.pdf
url http://dx.doi.org/10.1590/2179-8087.012516
http://hdl.handle.net/11449/188010
identifier_str_mv Floresta e Ambiente, v. 26, n. 4, 2019.
2179-8087
1415-0980
10.1590/2179-8087.012516
S2179-80872019000400119
2-s2.0-85071246092
S2179-80872019000400119.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Floresta e Ambiente
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Scopus
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
_version_ 1803649597275373568