Automatic tree detection in sample plots from a simple terrestrial laser scanning

Detalhes bibliográficos
Autor(a) principal: Pesck, Vagner Alex
Data de Publicação: 2019
Outros Autores: Lingnau, Christel, Machado, Alvaro Muriel Lima, Figueiredo Filho, Afonso, Stepka, Thiago Floriani
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Florestal Brasileira (Online)
Texto Completo: https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/1730
Resumo: This study aimed the automatic identification of trees in circular sample units of 200, 300 and 400 m² in stands of Eucalyptus spp., using TLS (Terrestrial Laser Scanning) in Mato Grosso do Sul State, Brazil. Three planting ages were tested: 2 years-old-plantation, considering trees with natural pruning (E. urophylla -200 m²) and without natural pruning (E. grandis - 300 m²), and trees with 4.5 and with 5.5 years-old without pruning (hibrid E. urophylla x E. grandis - 400  m²). Field laser scanning was performed with Trimble TX5 equipment. This approach was based on a cut of point-cloud at 1.3 m above ground level (DBH) and the developing the algorithm 2D slice. It was possible to detect 98.3, 98 and 93.9% of trees for samples units of 200, 300 and 400 m², respectively. These identifications were influenced by the spatial distribution of trees because of the shading of trees further from the equipment. This simple scan should be applied only for small sample units. The error detections in areas greater than 200 m², may influence negatively the dendrometric estimations.
id EMBRAPA-5_ad771bea77554b6ea0a76cf108deafad
oai_identifier_str oai:pfb.cnpf.embrapa.br/pfb:article/1730
network_acronym_str EMBRAPA-5
network_name_str Pesquisa Florestal Brasileira (Online)
repository_id_str
spelling Automatic tree detection in sample plots from a simple terrestrial laser scanningDetecção automática de árvores em unidades amostrais a partir de varredura simples com laser terrestreSombreamentoEucalyptusRelevoShadingEucalyptusReliefThis study aimed the automatic identification of trees in circular sample units of 200, 300 and 400 m² in stands of Eucalyptus spp., using TLS (Terrestrial Laser Scanning) in Mato Grosso do Sul State, Brazil. Three planting ages were tested: 2 years-old-plantation, considering trees with natural pruning (E. urophylla -200 m²) and without natural pruning (E. grandis - 300 m²), and trees with 4.5 and with 5.5 years-old without pruning (hibrid E. urophylla x E. grandis - 400  m²). Field laser scanning was performed with Trimble TX5 equipment. This approach was based on a cut of point-cloud at 1.3 m above ground level (DBH) and the developing the algorithm 2D slice. It was possible to detect 98.3, 98 and 93.9% of trees for samples units of 200, 300 and 400 m², respectively. These identifications were influenced by the spatial distribution of trees because of the shading of trees further from the equipment. This simple scan should be applied only for small sample units. The error detections in areas greater than 200 m², may influence negatively the dendrometric estimations.O objetivo deste estudo foi a identificação automática de árvores em unidades amostrais circulares de 200, 300 e 400 m² em povoamentos de Eucalyptus spp. a partir de dados de TLS (Terrestrial Laser Scanning) no estado do Mato Grosso do Sul. Foram testadas três idades de plantio: árvores com 2 anos, sendo consideradas com desrama natural (E. urophylla) e sem desrama natural (E. grandis); árvores com 4,5 e com 5,5 anos, sem desrama (hibrido E. urophylla x E. grandis). A varredura laser em campo foi realizada com o equipamento Trimble TX5. Para a identificação automática das árvores, foi realizado um recorte na nuvem de pontos a 1,30 m do solo (DAP) e desenvolvido o algoritmo denominado fatia 2D. Foi possível a detecção de 98,3, 98 e 93,9% das árvores para as unidades amostrais de 200, 300 e 400 m², respectivamente. A distribuição espacial das árvores no plantio influenciou a identificação, ocasionando sombreamento das árvores mais distantes do equipamento laser. A adoção de varreduras simples deve ser aplicada somente em unidades amostrais pequenas, pois unidades amostrais acima de 200 m² acarretam maiores erros de detecção de árvores, o que pode gerar informações equivocadas nas estimativas dendrométricas da floresta.Embrapa Florestas2019-12-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/173010.4336/2019.pfb.39e201801730Pesquisa Florestal Brasileira; v. 39 (2019)Pesquisa Florestal Brasileira; Vol. 39 (2019)1983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/1730/909https://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessPesck, Vagner AlexLingnau, ChristelMachado, Alvaro Muriel LimaFigueiredo Filho, AfonsoStepka, Thiago Floriani2020-01-02T11:18:34Zoai:pfb.cnpf.embrapa.br/pfb:article/1730Revistahttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/PUBhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/oaipfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br1983-26051809-3647opendoar:2020-01-02T11:18:34Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Automatic tree detection in sample plots from a simple terrestrial laser scanning
Detecção automática de árvores em unidades amostrais a partir de varredura simples com laser terrestre
title Automatic tree detection in sample plots from a simple terrestrial laser scanning
spellingShingle Automatic tree detection in sample plots from a simple terrestrial laser scanning
Pesck, Vagner Alex
Sombreamento
Eucalyptus
Relevo
Shading
Eucalyptus
Relief
title_short Automatic tree detection in sample plots from a simple terrestrial laser scanning
title_full Automatic tree detection in sample plots from a simple terrestrial laser scanning
title_fullStr Automatic tree detection in sample plots from a simple terrestrial laser scanning
title_full_unstemmed Automatic tree detection in sample plots from a simple terrestrial laser scanning
title_sort Automatic tree detection in sample plots from a simple terrestrial laser scanning
author Pesck, Vagner Alex
author_facet Pesck, Vagner Alex
Lingnau, Christel
Machado, Alvaro Muriel Lima
Figueiredo Filho, Afonso
Stepka, Thiago Floriani
author_role author
author2 Lingnau, Christel
Machado, Alvaro Muriel Lima
Figueiredo Filho, Afonso
Stepka, Thiago Floriani
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Pesck, Vagner Alex
Lingnau, Christel
Machado, Alvaro Muriel Lima
Figueiredo Filho, Afonso
Stepka, Thiago Floriani
dc.subject.por.fl_str_mv Sombreamento
Eucalyptus
Relevo
Shading
Eucalyptus
Relief
topic Sombreamento
Eucalyptus
Relevo
Shading
Eucalyptus
Relief
description This study aimed the automatic identification of trees in circular sample units of 200, 300 and 400 m² in stands of Eucalyptus spp., using TLS (Terrestrial Laser Scanning) in Mato Grosso do Sul State, Brazil. Three planting ages were tested: 2 years-old-plantation, considering trees with natural pruning (E. urophylla -200 m²) and without natural pruning (E. grandis - 300 m²), and trees with 4.5 and with 5.5 years-old without pruning (hibrid E. urophylla x E. grandis - 400  m²). Field laser scanning was performed with Trimble TX5 equipment. This approach was based on a cut of point-cloud at 1.3 m above ground level (DBH) and the developing the algorithm 2D slice. It was possible to detect 98.3, 98 and 93.9% of trees for samples units of 200, 300 and 400 m², respectively. These identifications were influenced by the spatial distribution of trees because of the shading of trees further from the equipment. This simple scan should be applied only for small sample units. The error detections in areas greater than 200 m², may influence negatively the dendrometric estimations.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-31
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/1730
10.4336/2019.pfb.39e201801730
url https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/1730
identifier_str_mv 10.4336/2019.pfb.39e201801730
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/1730/909
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Embrapa Florestas
publisher.none.fl_str_mv Embrapa Florestas
dc.source.none.fl_str_mv Pesquisa Florestal Brasileira; v. 39 (2019)
Pesquisa Florestal Brasileira; Vol. 39 (2019)
1983-2605
1809-3647
reponame:Pesquisa Florestal Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Florestal Brasileira (Online)
collection Pesquisa Florestal Brasileira (Online)
repository.name.fl_str_mv Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br
_version_ 1783370936834064384