Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp.
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , |
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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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 |
_version_ |
1815439266981871616 |