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: | 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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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 |
_version_ |
1799874942866554880 |