IDENTIFICATION AND DETERMINATION OF THE HEIGHT OF EUCALYPTUS SP TREES FROM LIDAR DATA AND EVALUATION OF RESULTS THROUGH ORTHOPHOTOS AND FIELD MEASURES

Detalhes bibliográficos
Autor(a) principal: Lage, Gustavo Bretas
Data de Publicação: 2022
Outros Autores: Oliveira, Kelen Karla Reis, Bretas Lage, Tulio, Nero, Marcelo Antonio, Alexandrino Garcia, Ricardo
Tipo de documento: Artigo
Idioma: por
Título da fonte: Caminhos de Geografia
Texto Completo: https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60359
Resumo: The aim of the present study was to estimate the geographical position and individual height of trees on eucalyptus plantations. The data were obtained using airborne laser scanning (ALS), which enabled generating a standardized digital vegetation model (SDVM) of surface biomass. Geoprocessing was applied to this model, which enabled analyzing the biomass model and determining the peak of each tree and its height. Orthophotos with high spatial resolution were used to validate the results, obtaining an average precision of 93% in the calculations. In the comparison of the average height data of the 100 tallest trees estimated using LIDAR technology and the same height estimated by the forest inventory, the coefficient of determination (R²) was 0.8826. The results indicate that the method has adequate precision for the identification of individuals and the estimation of tree height. This method could be replicated with other types of similar vegetation.
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spelling IDENTIFICATION AND DETERMINATION OF THE HEIGHT OF EUCALYPTUS SP TREES FROM LIDAR DATA AND EVALUATION OF RESULTS THROUGH ORTHOPHOTOS AND FIELD MEASURESIDENTIFICAÇÃO E DETERMINAÇÃO DA ALTURA DAS ÁRVORES DE EUCALYPTUS SP A PARTIR DE DADOS LIDAR E AVALIAÇÃO DOS RESULTADOS POR MEIO DE ORTOFOTOS E MEDIDAS DE CAMPOIndividualização de árvoresModelos digitaisVarredura a laser aerotransportadoIndividualization of treesDigital modelsAirborne Laser ScanningThe aim of the present study was to estimate the geographical position and individual height of trees on eucalyptus plantations. The data were obtained using airborne laser scanning (ALS), which enabled generating a standardized digital vegetation model (SDVM) of surface biomass. Geoprocessing was applied to this model, which enabled analyzing the biomass model and determining the peak of each tree and its height. Orthophotos with high spatial resolution were used to validate the results, obtaining an average precision of 93% in the calculations. In the comparison of the average height data of the 100 tallest trees estimated using LIDAR technology and the same height estimated by the forest inventory, the coefficient of determination (R²) was 0.8826. The results indicate that the method has adequate precision for the identification of individuals and the estimation of tree height. This method could be replicated with other types of similar vegetation.Este trabalho teve como objetivo estimar a posição geográfica e a altura individual de árvores em plantios de eucalipto de modo automatizado por meio de processamento computacional. Os dados utilizados nesta pesquisa foram obtidos com o sistema Airborne Laser Scanner (ALS) e permitiram gerar um modelo digital de vegetação normalizado (MDVn) que representa a biomassa da superfície. Nesse modelo, aplicou-se uma metodologia de geoprocessamento que permitiu analisar o modelo da biomassa, determinando-se o topo de cada árvore e sua altura. Para validar os resultados, utilizaram-se ortofotos de melhor resolução espacial disponível, obtendo-se 93% de precisão média nos cálculos. Na comparação dos dados de alturas médias estimadas das 100 maiores árvores por meio da tecnologia LIDAR e das mesmas alturas obtidas por meio do inventário florestal, o coeficiente de determinação R² foi de 0,8826. Os resultados indicaram que a metodologia utilizada apresenta precisão adequada para a identificação de indivíduos e para a estimativa de altura das árvores, oferecendo viabilidade de replicação da metodologia para outros tipos de vegetação similares.EDUFU - Editora da Universidade Federal de Uberlândia2022-10-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos paresapplication/pdfhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/6035910.14393/RCG238960359Caminhos de Geografia; Vol. 23 No. 89 (2022): Outubro; 189-201Caminhos de Geografia; Vol. 23 Núm. 89 (2022): Outubro; 189-201Caminhos de Geografia; v. 23 n. 89 (2022): Outubro; 189-2011678-6343reponame:Caminhos de Geografiainstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/60359/34766Copyright (c) 2022 Gustavo Bretas Lage, Kelen Karla Reis Oliveira, Túlio Bretas Lage, Marcelo Antonio Nero, Ricardo Alexandrino Garciahttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessLage, Gustavo BretasOliveira, Kelen Karla ReisBretas Lage, TulioNero, Marcelo AntonioAlexandrino Garcia, Ricardo2022-10-11T13:56:10Zoai:ojs.www.seer.ufu.br:article/60359Revistahttps://seer.ufu.br/index.php/caminhosdegeografia/indexPUBhttp://www.seer.ufu.br/index.php/caminhosdegeografia/oaiflaviasantosgeo@gmail.com1678-63431678-6343opendoar:2022-10-11T13:56:10Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv IDENTIFICATION AND DETERMINATION OF THE HEIGHT OF EUCALYPTUS SP TREES FROM LIDAR DATA AND EVALUATION OF RESULTS THROUGH ORTHOPHOTOS AND FIELD MEASURES
IDENTIFICAÇÃO E DETERMINAÇÃO DA ALTURA DAS ÁRVORES DE EUCALYPTUS SP A PARTIR DE DADOS LIDAR E AVALIAÇÃO DOS RESULTADOS POR MEIO DE ORTOFOTOS E MEDIDAS DE CAMPO
title IDENTIFICATION AND DETERMINATION OF THE HEIGHT OF EUCALYPTUS SP TREES FROM LIDAR DATA AND EVALUATION OF RESULTS THROUGH ORTHOPHOTOS AND FIELD MEASURES
spellingShingle IDENTIFICATION AND DETERMINATION OF THE HEIGHT OF EUCALYPTUS SP TREES FROM LIDAR DATA AND EVALUATION OF RESULTS THROUGH ORTHOPHOTOS AND FIELD MEASURES
Lage, Gustavo Bretas
Individualização de árvores
Modelos digitais
Varredura a laser aerotransportado
Individualization of trees
Digital models
Airborne Laser Scanning
title_short IDENTIFICATION AND DETERMINATION OF THE HEIGHT OF EUCALYPTUS SP TREES FROM LIDAR DATA AND EVALUATION OF RESULTS THROUGH ORTHOPHOTOS AND FIELD MEASURES
title_full IDENTIFICATION AND DETERMINATION OF THE HEIGHT OF EUCALYPTUS SP TREES FROM LIDAR DATA AND EVALUATION OF RESULTS THROUGH ORTHOPHOTOS AND FIELD MEASURES
title_fullStr IDENTIFICATION AND DETERMINATION OF THE HEIGHT OF EUCALYPTUS SP TREES FROM LIDAR DATA AND EVALUATION OF RESULTS THROUGH ORTHOPHOTOS AND FIELD MEASURES
title_full_unstemmed IDENTIFICATION AND DETERMINATION OF THE HEIGHT OF EUCALYPTUS SP TREES FROM LIDAR DATA AND EVALUATION OF RESULTS THROUGH ORTHOPHOTOS AND FIELD MEASURES
title_sort IDENTIFICATION AND DETERMINATION OF THE HEIGHT OF EUCALYPTUS SP TREES FROM LIDAR DATA AND EVALUATION OF RESULTS THROUGH ORTHOPHOTOS AND FIELD MEASURES
author Lage, Gustavo Bretas
author_facet Lage, Gustavo Bretas
Oliveira, Kelen Karla Reis
Bretas Lage, Tulio
Nero, Marcelo Antonio
Alexandrino Garcia, Ricardo
author_role author
author2 Oliveira, Kelen Karla Reis
Bretas Lage, Tulio
Nero, Marcelo Antonio
Alexandrino Garcia, Ricardo
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Lage, Gustavo Bretas
Oliveira, Kelen Karla Reis
Bretas Lage, Tulio
Nero, Marcelo Antonio
Alexandrino Garcia, Ricardo
dc.subject.por.fl_str_mv Individualização de árvores
Modelos digitais
Varredura a laser aerotransportado
Individualization of trees
Digital models
Airborne Laser Scanning
topic Individualização de árvores
Modelos digitais
Varredura a laser aerotransportado
Individualization of trees
Digital models
Airborne Laser Scanning
description The aim of the present study was to estimate the geographical position and individual height of trees on eucalyptus plantations. The data were obtained using airborne laser scanning (ALS), which enabled generating a standardized digital vegetation model (SDVM) of surface biomass. Geoprocessing was applied to this model, which enabled analyzing the biomass model and determining the peak of each tree and its height. Orthophotos with high spatial resolution were used to validate the results, obtaining an average precision of 93% in the calculations. In the comparison of the average height data of the 100 tallest trees estimated using LIDAR technology and the same height estimated by the forest inventory, the coefficient of determination (R²) was 0.8826. The results indicate that the method has adequate precision for the identification of individuals and the estimation of tree height. This method could be replicated with other types of similar vegetation.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-10
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado pelos pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60359
10.14393/RCG238960359
url https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60359
identifier_str_mv 10.14393/RCG238960359
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60359/34766
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://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 EDUFU - Editora da Universidade Federal de Uberlândia
publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Caminhos de Geografia; Vol. 23 No. 89 (2022): Outubro; 189-201
Caminhos de Geografia; Vol. 23 Núm. 89 (2022): Outubro; 189-201
Caminhos de Geografia; v. 23 n. 89 (2022): Outubro; 189-201
1678-6343
reponame:Caminhos de Geografia
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Caminhos de Geografia
collection Caminhos de Geografia
repository.name.fl_str_mv Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv flaviasantosgeo@gmail.com
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