Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp.

Detalhes bibliográficos
Autor(a) principal: Oliveira, Luciano Teixeira de
Data de Publicação: 2016
Outros Autores: Carvalho, Luis Marcelo Tavares de, Ferreira, Maria Zélia, Oliveira, Thomaz Chaves de Andrade, Acerbi Junior, Fausto Weimar
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://www.cerne.ufla.br/site/index.php/CERNE/article/view/1121
http://repositorio.ufla.br/jspui/handle/1/14666
Resumo: Light Detection and Ranging, or LIDAR, has become an effective ancillary tool to extract forest inventory data and for use in other forest studies. This work was aimed at establishing an effective methodology for using LIDAR for tree count in a stand of Eucalyptus sp. located in southern Bahia state. Information provided includes in-flight gross data processing to final tree count. Intermediate processing steps are of critical importance to the quality of results and include the following stages: organizing point clouds, creating a canopy surface model (CSM) through TIN and IDW interpolation and final automated tree count with a local maximum algorithm with 5 x 5 and 3 x 3 windows. Results were checked against manual tree count using Quickbird images, for verification of accuracy. Tree count using IDW interpolation with a 5x5 window for the count algorithm was found to be accurate to 97.36%. This result demonstrates the effectiveness of the methodology and its use potential for future applications.
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spelling Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp.Aplicação do LIDAR no inventário de florestas plantadas com Eucalyptus sp. para contagem de árvoresAirborne laser scanningTree detectionLocal maximumLaser aerotransportadoDetecção de árvoresLocal máximaLight Detection and Ranging, or LIDAR, has become an effective ancillary tool to extract forest inventory data and for use in other forest studies. This work was aimed at establishing an effective methodology for using LIDAR for tree count in a stand of Eucalyptus sp. located in southern Bahia state. Information provided includes in-flight gross data processing to final tree count. Intermediate processing steps are of critical importance to the quality of results and include the following stages: organizing point clouds, creating a canopy surface model (CSM) through TIN and IDW interpolation and final automated tree count with a local maximum algorithm with 5 x 5 and 3 x 3 windows. Results were checked against manual tree count using Quickbird images, for verification of accuracy. Tree count using IDW interpolation with a 5x5 window for the count algorithm was found to be accurate to 97.36%. This result demonstrates the effectiveness of the methodology and its use potential for future applications.O Light Detection and Ranging, ou LIDAR, tem se tornado uma eficiente ferramenta auxiliar para a extração de dados no inventário florestal e também em outros estudos florestais. Este trabalho foi realizado com o objetivo de estabelecer uma metodologia eficiente para a utilização do LIDAR para a contagem do número de árvores em um povoamento de Eucalyptus sp., localizado no sul do Estado da Bahia. Apresenta-se desde o processamento dos dados brutos obtidos em voo até o número final da contagem de árvores. Os passos intermediários são de vital importância para a qualidade dos resultados e os mesmos são obtidos por meio das seguintes etapas de processamento: organização da nuvem de pontos; criação do modelo de superfície do dossel (MSD) por meio da geração de uma TIN e interpolação Inverse Distance Weighted (IDW) e contagem automatizada final das árvores com um algoritmo de máxima local com janelas de 5 x 5 e 3 x 3. Os resultados obtidos foram comparados à contagem manual das árvores em imagens Quickbird para a verificação da acurácia. O acerto da contagem foi de 97,36% por meio da interpolação IDW com a janela de 5X5 para o algoritmo de contagem. Esse resultado evidencia a eficácia da metodologia produzida e o potencial para futuras aplicações.Universidade Federal de Lavras (UFLA), Departamento de Ciências Florestais (DCF)2016-04-192017-08-01T20:15:31Z2017-08-01T20:15:31Z2017-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://www.cerne.ufla.br/site/index.php/CERNE/article/view/1121http://repositorio.ufla.br/jspui/handle/1/14666CERNE; Vol 18 No 2 (2012); 175-1842317-63420104-7760reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttp://www.cerne.ufla.br/site/index.php/CERNE/article/view/1121/881Copyright (c) 2016 CERNEhttp://creativecommons.org/licenses/by/4.0/Attribution 4.0 Internationalinfo:eu-repo/semantics/openAccessOliveira, Luciano Teixeira deCarvalho, Luis Marcelo Tavares deFerreira, Maria ZéliaOliveira, Thomaz Chaves de AndradeAcerbi Junior, Fausto Weimar2021-04-12T01:41:47Zoai:localhost:1/14666Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-04-12T01:41:47Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp.
Aplicação do LIDAR no inventário de florestas plantadas com Eucalyptus sp. para contagem de árvores
title Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp.
spellingShingle Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp.
Oliveira, Luciano Teixeira de
Airborne laser scanning
Tree detection
Local maximum
Laser aerotransportado
Detecção de árvores
Local máxima
title_short Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp.
title_full Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp.
title_fullStr Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp.
title_full_unstemmed Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp.
title_sort Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp.
author Oliveira, Luciano Teixeira de
author_facet Oliveira, Luciano Teixeira de
Carvalho, Luis Marcelo Tavares de
Ferreira, Maria Zélia
Oliveira, Thomaz Chaves de Andrade
Acerbi Junior, Fausto Weimar
author_role author
author2 Carvalho, Luis Marcelo Tavares de
Ferreira, Maria Zélia
Oliveira, Thomaz Chaves de Andrade
Acerbi Junior, Fausto Weimar
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Oliveira, Luciano Teixeira de
Carvalho, Luis Marcelo Tavares de
Ferreira, Maria Zélia
Oliveira, Thomaz Chaves de Andrade
Acerbi Junior, Fausto Weimar
dc.subject.por.fl_str_mv Airborne laser scanning
Tree detection
Local maximum
Laser aerotransportado
Detecção de árvores
Local máxima
topic Airborne laser scanning
Tree detection
Local maximum
Laser aerotransportado
Detecção de árvores
Local máxima
description Light Detection and Ranging, or LIDAR, has become an effective ancillary tool to extract forest inventory data and for use in other forest studies. This work was aimed at establishing an effective methodology for using LIDAR for tree count in a stand of Eucalyptus sp. located in southern Bahia state. Information provided includes in-flight gross data processing to final tree count. Intermediate processing steps are of critical importance to the quality of results and include the following stages: organizing point clouds, creating a canopy surface model (CSM) through TIN and IDW interpolation and final automated tree count with a local maximum algorithm with 5 x 5 and 3 x 3 windows. Results were checked against manual tree count using Quickbird images, for verification of accuracy. Tree count using IDW interpolation with a 5x5 window for the count algorithm was found to be accurate to 97.36%. This result demonstrates the effectiveness of the methodology and its use potential for future applications.
publishDate 2016
dc.date.none.fl_str_mv 2016-04-19
2017-08-01T20:15:31Z
2017-08-01T20:15:31Z
2017-08-01
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 http://www.cerne.ufla.br/site/index.php/CERNE/article/view/1121
http://repositorio.ufla.br/jspui/handle/1/14666
url http://www.cerne.ufla.br/site/index.php/CERNE/article/view/1121
http://repositorio.ufla.br/jspui/handle/1/14666
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.cerne.ufla.br/site/index.php/CERNE/article/view/1121/881
dc.rights.driver.fl_str_mv Copyright (c) 2016 CERNE
http://creativecommons.org/licenses/by/4.0/
Attribution 4.0 International
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 CERNE
http://creativecommons.org/licenses/by/4.0/
Attribution 4.0 International
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Lavras (UFLA), Departamento de Ciências Florestais (DCF)
publisher.none.fl_str_mv Universidade Federal de Lavras (UFLA), Departamento de Ciências Florestais (DCF)
dc.source.none.fl_str_mv CERNE; Vol 18 No 2 (2012); 175-184
2317-6342
0104-7760
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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