BIOMASS ALLOMETRIC FUNCTION WITH SATELLITE IMAGES OF HIGH SPATIAL RESOLUTION

Detalhes bibliográficos
Autor(a) principal: Macedo, Fabrício Lopes de
Data de Publicação: 2018
Outros Autores: Sousa, Adélia Maria de Oliveira, Gonçalves, Ana Cristina, Silva, Hélio Ricardo, Rodrigues, Ricardo Antonio Ferreira
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/33368
Resumo: The aim of this study was to fit functions to estimate with data derived from high spatial resolution satellite images, the total biomass of Eucalyptus at local and regional scale. For this purpose, models were fit combining values of biomass estimated from forest inventory plots and vegetation indices based on Pléiades images. The function with which presented the best performance in the estimation of the total biomass, was the one that used as an independent variable the IV-SAVI, presenting a coefficient of determination (R2) of 64.6%, however without great difference for the NDVI and SR. The fit functions can be used in other regions for the same species, and similar climate and local characteristics. This approach can be used as a low cost tool to produce estimations of biomass at local and regional level.
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spelling BIOMASS ALLOMETRIC FUNCTION WITH SATELLITE IMAGES OF HIGH SPATIAL RESOLUTIONFUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIALEucalyptuspléiadesvegetation indices.EucaliptoPléiadesíndices de vegetação.The aim of this study was to fit functions to estimate with data derived from high spatial resolution satellite images, the total biomass of Eucalyptus at local and regional scale. For this purpose, models were fit combining values of biomass estimated from forest inventory plots and vegetation indices based on Pléiades images. The function with which presented the best performance in the estimation of the total biomass, was the one that used as an independent variable the IV-SAVI, presenting a coefficient of determination (R2) of 64.6%, however without great difference for the NDVI and SR. The fit functions can be used in other regions for the same species, and similar climate and local characteristics. This approach can be used as a low cost tool to produce estimations of biomass at local and regional level.O presente estudo teve como objetivo ajustar funções para estimar por meio de dados derivados de imagens de satélite de alta resolução espacial, a biomassa total de Eucalyptus em escala local e regional. Para este fim, foram ajustados modelos, combinando os valores de biomassa estimada por meio de parcelas do inventário florestal associadas com índices de vegetação (IV) baseados em imagem do satélite Pléiades. A função com que apresentou melhor performance na estimativa da biomassa total, foi aquela que utilizou como variável independente o IV-SAVI, apresentando um coeficiente de determinação (R2) de 64,6%, no entanto, sem grande diferença para o NDVI e SR. As funções ajustadas poderão ser utilizadas em regiões que apresentem as mesmas espécies, clima e propriedades locais parecidas com as do presente estudo. Esta abordagem pode ser usada como uma ferramenta de baixo custo para produzir estimativas de biomassa em escala local e regional.Universidade Federal de Santa Maria2018-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/3336810.5902/1980509833368Ciência Florestal; Vol. 28 No. 3 (2018); 960-969Ciência Florestal; v. 28 n. 3 (2018); 960-9691980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/33368/pdfCopyright (c) 2018 Ciência Florestalinfo:eu-repo/semantics/openAccessMacedo, Fabrício Lopes deSousa, Adélia Maria de OliveiraGonçalves, Ana CristinaSilva, Hélio RicardoRodrigues, Ricardo Antonio Ferreira2018-10-08T14:16:09Zoai:ojs.pkp.sfu.ca:article/33368Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2018-10-08T14:16:09Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv BIOMASS ALLOMETRIC FUNCTION WITH SATELLITE IMAGES OF HIGH SPATIAL RESOLUTION
FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIAL
title BIOMASS ALLOMETRIC FUNCTION WITH SATELLITE IMAGES OF HIGH SPATIAL RESOLUTION
spellingShingle BIOMASS ALLOMETRIC FUNCTION WITH SATELLITE IMAGES OF HIGH SPATIAL RESOLUTION
Macedo, Fabrício Lopes de
Eucalyptus
pléiades
vegetation indices.
Eucalipto
Pléiades
índices de vegetação.
title_short BIOMASS ALLOMETRIC FUNCTION WITH SATELLITE IMAGES OF HIGH SPATIAL RESOLUTION
title_full BIOMASS ALLOMETRIC FUNCTION WITH SATELLITE IMAGES OF HIGH SPATIAL RESOLUTION
title_fullStr BIOMASS ALLOMETRIC FUNCTION WITH SATELLITE IMAGES OF HIGH SPATIAL RESOLUTION
title_full_unstemmed BIOMASS ALLOMETRIC FUNCTION WITH SATELLITE IMAGES OF HIGH SPATIAL RESOLUTION
title_sort BIOMASS ALLOMETRIC FUNCTION WITH SATELLITE IMAGES OF HIGH SPATIAL RESOLUTION
author Macedo, Fabrício Lopes de
author_facet Macedo, Fabrício Lopes de
Sousa, Adélia Maria de Oliveira
Gonçalves, Ana Cristina
Silva, Hélio Ricardo
Rodrigues, Ricardo Antonio Ferreira
author_role author
author2 Sousa, Adélia Maria de Oliveira
Gonçalves, Ana Cristina
Silva, Hélio Ricardo
Rodrigues, Ricardo Antonio Ferreira
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Macedo, Fabrício Lopes de
Sousa, Adélia Maria de Oliveira
Gonçalves, Ana Cristina
Silva, Hélio Ricardo
Rodrigues, Ricardo Antonio Ferreira
dc.subject.por.fl_str_mv Eucalyptus
pléiades
vegetation indices.
Eucalipto
Pléiades
índices de vegetação.
topic Eucalyptus
pléiades
vegetation indices.
Eucalipto
Pléiades
índices de vegetação.
description The aim of this study was to fit functions to estimate with data derived from high spatial resolution satellite images, the total biomass of Eucalyptus at local and regional scale. For this purpose, models were fit combining values of biomass estimated from forest inventory plots and vegetation indices based on Pléiades images. The function with which presented the best performance in the estimation of the total biomass, was the one that used as an independent variable the IV-SAVI, presenting a coefficient of determination (R2) of 64.6%, however without great difference for the NDVI and SR. The fit functions can be used in other regions for the same species, and similar climate and local characteristics. This approach can be used as a low cost tool to produce estimations of biomass at local and regional level.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-01
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 https://periodicos.ufsm.br/cienciaflorestal/article/view/33368
10.5902/1980509833368
url https://periodicos.ufsm.br/cienciaflorestal/article/view/33368
identifier_str_mv 10.5902/1980509833368
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/33368/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2018 Ciência Florestal
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 Ciência Florestal
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; Vol. 28 No. 3 (2018); 960-969
Ciência Florestal; v. 28 n. 3 (2018); 960-969
1980-5098
0103-9954
reponame:Ciência Florestal (Online)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Florestal (Online)
collection Ciência Florestal (Online)
repository.name.fl_str_mv Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv ||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br
_version_ 1799944133887918080

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