CARBON AND BIOMASS ESTIMATE IN ARAUCARIAN FOREST USING SATELLITE IMAGES FROM IKONOS II
Autor(a) principal: | |
---|---|
Data de Publicação: | 2009 |
Outros Autores: | , |
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. |
id |
UFSM-6_bbb25e34cf5c0ad90f92a871a8f7a831 |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/408 |
network_acronym_str |
UFSM-6 |
network_name_str |
Ciência Florestal (Online) |
repository_id_str |
|
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 |
_version_ |
1799944124949856256 |