FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIAL

Detalhes bibliográficos
Autor(a) principal: Macedo, Fabrício
Data de Publicação: 2018
Outros Autores: Sousa, Adélia, Gonçalves, Ana Cristina, Silva, Hélio, Rodrigues, Ricardo
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/23607
https://doi.org/http://dx.doi.org/10.5902/1980509833368
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 FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIALEucaliptoPleiadesvegetation indicesThe 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.2018-10-12T16:35:12Z2018-10-122018-01-09T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/23607http://hdl.handle.net/10174/23607https://doi.org/http://dx.doi.org/10.5902/1980509833368porMacedo F., Sousa A.M.O., Gonçalves A.C., Silva H.R., Rodrigues R. (2018). FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIAL / BIOMASS ALLOMETRIC FUNCTION WITH SATELLITE IMAGES OF HIGH SPATIAL RESOLUTION. Revista Ciência Florestal. 28 (3): 959-958.ICAAMndasousa@uevora.ptacag@uevora.pthrsilva@agr.feis.unesp.brricardo@agr.feis.unesp.br214Macedo, FabrícioSousa, AdéliaGonçalves, Ana CristinaSilva, HélioRodrigues, Ricardoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:15:52Zoai:dspace.uevora.pt:10174/23607Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:14:25.195959Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIAL
title FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIAL
spellingShingle FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIAL
Macedo, Fabrício
Eucalipto
Pleiades
vegetation indices
title_short FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIAL
title_full FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIAL
title_fullStr FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIAL
title_full_unstemmed FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIAL
title_sort FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIAL
author Macedo, Fabrício
author_facet Macedo, Fabrício
Sousa, Adélia
Gonçalves, Ana Cristina
Silva, Hélio
Rodrigues, Ricardo
author_role author
author2 Sousa, Adélia
Gonçalves, Ana Cristina
Silva, Hélio
Rodrigues, Ricardo
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Macedo, Fabrício
Sousa, Adélia
Gonçalves, Ana Cristina
Silva, Hélio
Rodrigues, Ricardo
dc.subject.por.fl_str_mv Eucalipto
Pleiades
vegetation indices
topic Eucalipto
Pleiades
vegetation indices
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 2018-10-12T16:35:12Z
2018-10-12
2018-01-09T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/23607
http://hdl.handle.net/10174/23607
https://doi.org/http://dx.doi.org/10.5902/1980509833368
url http://hdl.handle.net/10174/23607
https://doi.org/http://dx.doi.org/10.5902/1980509833368
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Macedo F., Sousa A.M.O., Gonçalves A.C., Silva H.R., Rodrigues R. (2018). FUNÇÃO ALOMÉTRICA DE BIOMASSA COM IMAGENS DE SATÉLITE DE ALTA RESOLUÇÃO ESPACIAL / BIOMASS ALLOMETRIC FUNCTION WITH SATELLITE IMAGES OF HIGH SPATIAL RESOLUTION. Revista Ciência Florestal. 28 (3): 959-958.
ICAAM
nd
asousa@uevora.pt
acag@uevora.pt
hrsilva@agr.feis.unesp.br
ricardo@agr.feis.unesp.br
214
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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