Correlation of spectral variables and aboveground carbon stock of agroforestry systems

Detalhes bibliográficos
Autor(a) principal: Bolfe, Édson Luis
Data de Publicação: 2012
Outros Autores: Batistella, Mateus, Ferreira, Marcos César
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/11549
Resumo: The objective of this work was to evaluate the correlation between spectral variables and aboveground carbon stock of agroforestry systems in the region of Tomé‑Açu, PA, Brazil. Twenty‑four vegetation indices from three groups (simple ratio, normalized difference, and complex), calculated from images of the TM/Landsat‑5 sensor acquired in 2008, were tested. The obtained variables were correlated, by means of simple linear regression, to carbon stock from four agroforestry systems with different ages and floristic composition. The correlations obtained among spectral variables and carbon stock were significant in 47% of the tested indices and changed according to the differences in biomass of the analyzed systems. The best correlations were obtained by the simple ratio and normalized difference indices in young agroforestry systems, and by complex vegetation indices in older agroforestry systems.
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spelling Correlation of spectral variables and aboveground carbon stock of agroforestry systemsCorrelação de variáveis espectrais e estoque de carbono da biomassa aérea de sistemas agroflorestaiscrop‑livestock‑forest integration; Landsat; remote sensing; land use and land cover.integração lavoura‑pecuária‑floresta; Landsat; sensoriamento remoto; uso e cobertura da terra.The objective of this work was to evaluate the correlation between spectral variables and aboveground carbon stock of agroforestry systems in the region of Tomé‑Açu, PA, Brazil. Twenty‑four vegetation indices from three groups (simple ratio, normalized difference, and complex), calculated from images of the TM/Landsat‑5 sensor acquired in 2008, were tested. The obtained variables were correlated, by means of simple linear regression, to carbon stock from four agroforestry systems with different ages and floristic composition. The correlations obtained among spectral variables and carbon stock were significant in 47% of the tested indices and changed according to the differences in biomass of the analyzed systems. The best correlations were obtained by the simple ratio and normalized difference indices in young agroforestry systems, and by complex vegetation indices in older agroforestry systems.O objetivo deste trabalho foi avaliar a correlação entre variáveis espectrais e o estoque de carbono da biomassa aérea de sistemas agroflorestais da região de Tomé‑Açu, PA. Foram testados 24 índices de vegetação de três grupos (razão simples, diferença normalizada e complexos), gerados a partir de imagens do sensor TM/Landsat‑5, adquiridas em 2008. As variáveis obtidas foram correlacionadas, por meio de regressão linear simples, ao estoque de carbono de quatro classes de sistemas agroflorestais, de diferentes idades e composições florísticas. As correlações obtidas entre as variáveis espectrais e o estoque de carbono foram significativas em 47% dos índices testados e variaram de acordo com as diferenças de biomassa nos sistemas analisados. As melhores correlações foram obtidas pelos índices de vegetação de razão simples e de diferença normalizada, em sistemas agroflorestais jovens, e pelos índices de vegetação complexos, em sistemas agroflorestais mais antigos.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraEmbrapaBolfe, Édson LuisBatistella, MateusFerreira, Marcos César2012-11-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/11549Pesquisa Agropecuaria Brasileira; v.47, n.9, set. 2012: Número Temático Geotecnologias; 1261-1269Pesquisa Agropecuária Brasileira; v.47, n.9, set. 2012: Número Temático Geotecnologias; 1261-12691678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/11549/7986https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11549/7106https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11549/7118https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11549/8998https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11549/8999https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11549/9257https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11549/9258https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11549/9259https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11549/9260https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11549/9261https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11549/9262https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11549/9263https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11549/9264https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/11549/9265info:eu-repo/semantics/openAccess2012-11-14T12:01:56Zoai:ojs.seer.sct.embrapa.br:article/11549Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2012-11-14T12:01:56Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Correlation of spectral variables and aboveground carbon stock of agroforestry systems
Correlação de variáveis espectrais e estoque de carbono da biomassa aérea de sistemas agroflorestais
title Correlation of spectral variables and aboveground carbon stock of agroforestry systems
spellingShingle Correlation of spectral variables and aboveground carbon stock of agroforestry systems
Bolfe, Édson Luis
crop‑livestock‑forest integration; Landsat; remote sensing; land use and land cover.
integração lavoura‑pecuária‑floresta; Landsat; sensoriamento remoto; uso e cobertura da terra.
title_short Correlation of spectral variables and aboveground carbon stock of agroforestry systems
title_full Correlation of spectral variables and aboveground carbon stock of agroforestry systems
title_fullStr Correlation of spectral variables and aboveground carbon stock of agroforestry systems
title_full_unstemmed Correlation of spectral variables and aboveground carbon stock of agroforestry systems
title_sort Correlation of spectral variables and aboveground carbon stock of agroforestry systems
author Bolfe, Édson Luis
author_facet Bolfe, Édson Luis
Batistella, Mateus
Ferreira, Marcos César
author_role author
author2 Batistella, Mateus
Ferreira, Marcos César
author2_role author
author
dc.contributor.none.fl_str_mv
Embrapa
dc.contributor.author.fl_str_mv Bolfe, Édson Luis
Batistella, Mateus
Ferreira, Marcos César
dc.subject.por.fl_str_mv crop‑livestock‑forest integration; Landsat; remote sensing; land use and land cover.
integração lavoura‑pecuária‑floresta; Landsat; sensoriamento remoto; uso e cobertura da terra.
topic crop‑livestock‑forest integration; Landsat; remote sensing; land use and land cover.
integração lavoura‑pecuária‑floresta; Landsat; sensoriamento remoto; uso e cobertura da terra.
description The objective of this work was to evaluate the correlation between spectral variables and aboveground carbon stock of agroforestry systems in the region of Tomé‑Açu, PA, Brazil. Twenty‑four vegetation indices from three groups (simple ratio, normalized difference, and complex), calculated from images of the TM/Landsat‑5 sensor acquired in 2008, were tested. The obtained variables were correlated, by means of simple linear regression, to carbon stock from four agroforestry systems with different ages and floristic composition. The correlations obtained among spectral variables and carbon stock were significant in 47% of the tested indices and changed according to the differences in biomass of the analyzed systems. The best correlations were obtained by the simple ratio and normalized difference indices in young agroforestry systems, and by complex vegetation indices in older agroforestry systems.
publishDate 2012
dc.date.none.fl_str_mv 2012-11-09
dc.type.none.fl_str_mv
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info:eu-repo/semantics/publishedVersion
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url https://seer.sct.embrapa.br/index.php/pab/article/view/11549
dc.language.iso.fl_str_mv por
language por
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.47, n.9, set. 2012: Número Temático Geotecnologias; 1261-1269
Pesquisa Agropecuária Brasileira; v.47, n.9, set. 2012: Número Temático Geotecnologias; 1261-1269
1678-3921
0100-104x
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reponame_str Pesquisa Agropecuária Brasileira (Online)
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repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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