CARBON AND BIOMASS ESTIMATE IN ARAUCARIAN FOREST USING SATELLITE IMAGES FROM IKONOS II

Detalhes bibliográficos
Autor(a) principal: Watzlawick, Luciano Farinha
Data de Publicação: 2009
Outros Autores: Kirchner, Flávio Felipe, Sanquetta, Carlos Roberto
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/408
Resumo: The implications of forest reduction in the carbon cycle have created a demand for development of non-destructive methods to biomass estimates, a key component for modeling biogeochemical. Results from the application of a new methodology using satellite images from IKONOS II to estimate biomass and organic carbon in Araucarian Forest are present. The methodology included statistical analysis (correlation analysis) of the bans and vegetation indices with the biomass and organic carbon data as well as adjustments and selections of equations to estimate the biomass and organic carbon (dependent variables) in function of data from the satellite images. The reflectance of the MS-1, MS-2, MS-3, MS-4 bands, the ratio among bans (MS-4/MS-3), NDVI and SAVI were used as independent variables. The use of satellites images from IKONOS II presented satisfactory results, although it still needs adjustment from mathematical models for better results.
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spelling CARBON AND BIOMASS ESTIMATE IN ARAUCARIAN FOREST USING SATELLITE IMAGES FROM IKONOS IIEstimativa de biomassa e carbono em floresta com araucaria utilizando imagens do satélite Ikonos II.remote sensinghigh resolution imagesMixed Ombrophilous ForestSub-Tropical Forest.sensoriamento remotoimagens de alta resolução espacialFloresta Ombrófila MistaFloresta Subtropical.The implications of forest reduction in the carbon cycle have created a demand for development of non-destructive methods to biomass estimates, a key component for modeling biogeochemical. Results from the application of a new methodology using satellite images from IKONOS II to estimate biomass and organic carbon in Araucarian Forest are present. The methodology included statistical analysis (correlation analysis) of the bans and vegetation indices with the biomass and organic carbon data as well as adjustments and selections of equations to estimate the biomass and organic carbon (dependent variables) in function of data from the satellite images. The reflectance of the MS-1, MS-2, MS-3, MS-4 bands, the ratio among bans (MS-4/MS-3), NDVI and SAVI were used as independent variables. The use of satellites images from IKONOS II presented satisfactory results, although it still needs adjustment from mathematical models for better results.A implicação da redução das florestas no ciclo do carbono vem criando uma demanda de desenvolvimento de métodos não destrutivos para a determinação de biomassa, elemento importante na modelagem dos ciclos biogeoquímicos. Apresenta-se resultados de teste de metodologia utilizando-se imagens do satélite IKONOS II para estimar biomassa e carbono orgânico em Floresta com Araucária. O desenvolvimento metodológico englobou análise estatística (matriz de correlação) das bandas e índices de vegetação com os dados de biomassa e carbono orgânico, o ajuste e seleção de equações para estimar a biomassa e o carbono orgânico (variáveis dependentes) em função de variáveis provenientes das imagens de satélite, sendo a reflectância das bandas MS-1, MS-2, MS-3, MS-4, Razão de Bandas (MS-4/MS-3), NDVI e SAVI (variáveis independentes), e a quantificação das variáveis dependentes para toda a área de estudo. A utilização de imagens provenientes do satélite IKONOS II apresentou resultados bastante satisfatório, necessitando, no entanto, que modelos matemáticos sejam ajustados de modo a obterem-se melhores resultados.Universidade Federal de Santa Maria2009-06-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/40810.5902/19805098408Ciência Florestal; Vol. 19 No. 2 (2009); 169-181Ciência Florestal; v. 19 n. 2 (2009); 169-1811980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/408/280Watzlawick, Luciano FarinhaKirchner, Flávio FelipeSanquetta, Carlos Robertoinfo:eu-repo/semantics/openAccess2017-05-08T17:16:35Zoai:ojs.pkp.sfu.ca:article/408Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-05-08T17:16:35Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv CARBON AND BIOMASS ESTIMATE IN ARAUCARIAN FOREST USING SATELLITE IMAGES FROM IKONOS II
Estimativa de biomassa e carbono em floresta com araucaria utilizando imagens do satélite Ikonos II.
title CARBON AND BIOMASS ESTIMATE IN ARAUCARIAN FOREST USING SATELLITE IMAGES FROM IKONOS II
spellingShingle CARBON AND BIOMASS ESTIMATE IN ARAUCARIAN FOREST USING SATELLITE IMAGES FROM IKONOS II
Watzlawick, Luciano Farinha
remote sensing
high resolution images
Mixed Ombrophilous Forest
Sub-Tropical Forest.
sensoriamento remoto
imagens de alta resolução espacial
Floresta Ombrófila Mista
Floresta Subtropical.
title_short CARBON AND BIOMASS ESTIMATE IN ARAUCARIAN FOREST USING SATELLITE IMAGES FROM IKONOS II
title_full CARBON AND BIOMASS ESTIMATE IN ARAUCARIAN FOREST USING SATELLITE IMAGES FROM IKONOS II
title_fullStr CARBON AND BIOMASS ESTIMATE IN ARAUCARIAN FOREST USING SATELLITE IMAGES FROM IKONOS II
title_full_unstemmed CARBON AND BIOMASS ESTIMATE IN ARAUCARIAN FOREST USING SATELLITE IMAGES FROM IKONOS II
title_sort CARBON AND BIOMASS ESTIMATE IN ARAUCARIAN FOREST USING SATELLITE IMAGES FROM IKONOS II
author Watzlawick, Luciano Farinha
author_facet Watzlawick, Luciano Farinha
Kirchner, Flávio Felipe
Sanquetta, Carlos Roberto
author_role author
author2 Kirchner, Flávio Felipe
Sanquetta, Carlos Roberto
author2_role author
author
dc.contributor.author.fl_str_mv Watzlawick, Luciano Farinha
Kirchner, Flávio Felipe
Sanquetta, Carlos Roberto
dc.subject.por.fl_str_mv remote sensing
high resolution images
Mixed Ombrophilous Forest
Sub-Tropical Forest.
sensoriamento remoto
imagens de alta resolução espacial
Floresta Ombrófila Mista
Floresta Subtropical.
topic remote sensing
high resolution images
Mixed Ombrophilous Forest
Sub-Tropical Forest.
sensoriamento remoto
imagens de alta resolução espacial
Floresta Ombrófila Mista
Floresta Subtropical.
description The implications of forest reduction in the carbon cycle have created a demand for development of non-destructive methods to biomass estimates, a key component for modeling biogeochemical. Results from the application of a new methodology using satellite images from IKONOS II to estimate biomass and organic carbon in Araucarian Forest are present. The methodology included statistical analysis (correlation analysis) of the bans and vegetation indices with the biomass and organic carbon data as well as adjustments and selections of equations to estimate the biomass and organic carbon (dependent variables) in function of data from the satellite images. The reflectance of the MS-1, MS-2, MS-3, MS-4 bands, the ratio among bans (MS-4/MS-3), NDVI and SAVI were used as independent variables. The use of satellites images from IKONOS II presented satisfactory results, although it still needs adjustment from mathematical models for better results.
publishDate 2009
dc.date.none.fl_str_mv 2009-06-30
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/408
10.5902/19805098408
url https://periodicos.ufsm.br/cienciaflorestal/article/view/408
identifier_str_mv 10.5902/19805098408
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/408/280
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; Vol. 19 No. 2 (2009); 169-181
Ciência Florestal; v. 19 n. 2 (2009); 169-181
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
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