Biomass allometric function with satellite images of high spatial resolution

Detalhes bibliográficos
Autor(a) principal: de Macedo, Fabrício Lopes
Data de Publicação: 2018
Outros Autores: Sousa, Adélia Maria de Oliveira, Gonçalves, Ana Cristina, Silva, Hélio Ricardo [UNESP], Rodrigues, Ricardo Antonio Ferreira [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5902/1980509833368
http://hdl.handle.net/11449/188176
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 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.Centro de Investigação e de Tecnologias Agroambientais e Biológicas Universidade de Trás-os-Montes e Alto Douro, Quinta de PradosDepartamento de Engenharia Rural Escola de Ciências e Tecnologia Instituto de Ciências Agrárias e Ambientais Mediterrânicas Universidade de Évora, Apartado 94Departamento de Engenharia Rural Instituto de Ciências e Tecnologia Instituto de Ciências Agrárias e Ambientais Mediterrânicas Universidade de Évora, Apartado 94Departamento de Fitossanidade Engenharia Rural e Solos Universidade Estadual Paulista “Júlio de Mesquita Filho” (Unesp – Ilha Solteira), Av. Brasil, 56Departamento de Fitossanidade Engenharia Rural e Solos Universidade Estadual Paulista “Júlio de Mesquita Filho” (Unesp – Ilha Solteira), Av. Brasil, 56Universidade de Trás-os-Montes e Alto DouroUniversidade de ÉvoraUniversidade Estadual Paulista (Unesp)de Macedo, Fabrício LopesSousa, Adélia Maria de OliveiraGonçalves, Ana CristinaSilva, Hélio Ricardo [UNESP]Rodrigues, Ricardo Antonio Ferreira [UNESP]2019-10-06T15:59:41Z2019-10-06T15:59:41Z2018-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article960-969application/pdfhttp://dx.doi.org/10.5902/1980509833368Ciencia Florestal, v. 28, n. 3, p. 960-969, 2018.1980-50980103-9954http://hdl.handle.net/11449/18817610.5902/1980509833368S1980-509820180003009602-s2.0-85054566261S1980-50982018000300960.pdf74749641435372390000-0002-8222-3851Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporCiencia Florestalinfo:eu-repo/semantics/openAccess2023-12-02T06:13:48Zoai:repositorio.unesp.br:11449/188176Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-12-02T06:13:48Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)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
de Macedo, Fabrício Lopes
Eucalyptus
Pléiades
Vegetation indices
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 de Macedo, Fabrício Lopes
author_facet de Macedo, Fabrício Lopes
Sousa, Adélia Maria de Oliveira
Gonçalves, Ana Cristina
Silva, Hélio Ricardo [UNESP]
Rodrigues, Ricardo Antonio Ferreira [UNESP]
author_role author
author2 Sousa, Adélia Maria de Oliveira
Gonçalves, Ana Cristina
Silva, Hélio Ricardo [UNESP]
Rodrigues, Ricardo Antonio Ferreira [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade de Trás-os-Montes e Alto Douro
Universidade de Évora
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv de Macedo, Fabrício Lopes
Sousa, Adélia Maria de Oliveira
Gonçalves, Ana Cristina
Silva, Hélio Ricardo [UNESP]
Rodrigues, Ricardo Antonio Ferreira [UNESP]
dc.subject.por.fl_str_mv Eucalyptus
Pléiades
Vegetation indices
topic Eucalyptus
Pléiades
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 2018-07-01
2019-10-06T15:59:41Z
2019-10-06T15:59:41Z
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://dx.doi.org/10.5902/1980509833368
Ciencia Florestal, v. 28, n. 3, p. 960-969, 2018.
1980-5098
0103-9954
http://hdl.handle.net/11449/188176
10.5902/1980509833368
S1980-50982018000300960
2-s2.0-85054566261
S1980-50982018000300960.pdf
7474964143537239
0000-0002-8222-3851
url http://dx.doi.org/10.5902/1980509833368
http://hdl.handle.net/11449/188176
identifier_str_mv Ciencia Florestal, v. 28, n. 3, p. 960-969, 2018.
1980-5098
0103-9954
10.5902/1980509833368
S1980-50982018000300960
2-s2.0-85054566261
S1980-50982018000300960.pdf
7474964143537239
0000-0002-8222-3851
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Ciencia Florestal
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 960-969
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799965144819695616

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