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: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/1121
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 spAirborne laser scanningtree detectionLocal Maximum.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.CERNECERNE2016-04-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/1121CERNE; Vol. 18 No. 2 (2012); 175-184CERNE; v. 18 n. 2 (2012); 175-1842317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/1121/881Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessOliveira, Luciano Teixeira deCarvalho, Luis Marcelo Tavares deFerreira, Maria ZéliaOliveira, Thomaz Chaves de AndradeAcerbi Junior, Fausto Weimar2016-04-19T15:20:23Zoai:cerne.ufla.br:article/1121Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:25.787576Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv APPLICATION OF LIDAR TO FOREST INVENTORY FOR TREE COUNT IN STANDS OF Eucalyptus sp
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.
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.
topic Airborne laser scanning
tree detection
Local Maximum.
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
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://cerne.ufla.br/site/index.php/CERNE/article/view/1121
url https://cerne.ufla.br/site/index.php/CERNE/article/view/1121
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/1121/881
dc.rights.driver.fl_str_mv Copyright (c) 2016 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 CERNE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 18 No. 2 (2012); 175-184
CERNE; v. 18 n. 2 (2012); 175-184
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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