Stem modelling of eucalyptus by terrestrial laser scanning
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
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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Repositório Institucional da UNESP |
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2946 |
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:29462024-08-05T16:43:16.519732Repositório 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_ |
1808128691731955712 |