Study of Primary Productivity of the Mata Atlântica Biome via Remote Sensing
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Anuário do Instituto de Geociências (Online) |
Texto Completo: | https://revistas.ufrj.br/index.php/aigeo/article/view/6980 |
Resumo: | The remote sensing techniques have been widely used to estimate the primary productivity of large regions on the planet, and have proved a very useful tools and satisfactory results. Therefore, the present work aims to estimate and identify the spatial and temporal (seasonal, annual and inter-annual) patterns of the primary productivity on Mata Atlântica biome by remote sensing. Therefore, data from product MOD17A2 of MODIS sensor and meteorological data of air temperature and precipitation from the meteorological station of the National Institute of Meteorology located in the study areawere used. The orbital data have a spatial resolution of 1 km and a temporal resolution of 8 days. The study period covers the years 2002-2011. The net primary productivity showed a minimum value during the winter (19,6 % of the total study period) and a maximum value in the transition between spring and summer (30,1 % of the total study period). In relation to carbon sequestration in the studied region was observed that fixation offset the annual emissions. It was also concluded that during the period studied the carbon balance was slightly negative. However, was a trend of increasing carbon sequestration in the period 2003-2011. |
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Anuário do Instituto de Geociências (Online) |
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Study of Primary Productivity of the Mata Atlântica Biome via Remote SensingEstudo da Produtividade Primária do Bioma Mata Atlântica via Sensoriamento RemotoSequester of Carbon; MOD17A2; ClimateSequestro de Carbono; MOD17A2; ClimaThe remote sensing techniques have been widely used to estimate the primary productivity of large regions on the planet, and have proved a very useful tools and satisfactory results. Therefore, the present work aims to estimate and identify the spatial and temporal (seasonal, annual and inter-annual) patterns of the primary productivity on Mata Atlântica biome by remote sensing. Therefore, data from product MOD17A2 of MODIS sensor and meteorological data of air temperature and precipitation from the meteorological station of the National Institute of Meteorology located in the study areawere used. The orbital data have a spatial resolution of 1 km and a temporal resolution of 8 days. The study period covers the years 2002-2011. The net primary productivity showed a minimum value during the winter (19,6 % of the total study period) and a maximum value in the transition between spring and summer (30,1 % of the total study period). In relation to carbon sequestration in the studied region was observed that fixation offset the annual emissions. It was also concluded that during the period studied the carbon balance was slightly negative. However, was a trend of increasing carbon sequestration in the period 2003-2011.As técnicas de sensoriamento remoto tem sido amplamente utilizadas para estimar a produtividade primária de regiões extensas do planeta e tem se mostrado uma ferramenta muito útil que oferece resultados satisfatórios. Devido a essa constatação, o presente trabalho tem como objetivo estimar e identificar os padrões espaciais e temporais (sazonal, anual e interanual) da produtividade primária líquida do bioma Mata Atlântica via sensoriamento remoto. Para isso, foram utilizados dados do produto MOD17A2 do sensor MODIS e dados meteorológicos de temperatura do ar e de precipitação de uma Estação Meteorológica Convencional do Instituto Nacional de Meteorologia localizada na região de estudo. Os dados orbitais utilizados possuem uma resolução espacial de 1 km e temporal de 8 dias. O período estudado compreende os anos de 2002 a 2011. Os resultados encontrados permitiram concluir que a produtividade primária líquida apresentou um valor mínimo durante o inverno (19,6 % do total do período) e um máximo na transição entre a primavera e o verão (30,1 % do total do período). Em relação à fixação de carbono na região estudada foi observado que a fixação anual compensou a emissão. Concluiu-se também que durante todo o período estudado o balanço do carbono foi ligeiramente negativo. No entanto foi observada uma tendência crescente de fixação de carbono entre o período de 2003 e 2011.Universidade Federal do Rio de Janeiro2016-05-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/698010.11137/2015_2_05_14Anuário do Instituto de Geociências; Vol 38, No 2 (2015); 05-14Anuário do Instituto de Geociências; Vol 38, No 2 (2015); 05-141982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJporhttps://revistas.ufrj.br/index.php/aigeo/article/view/6980/5547Copyright (c) 2016 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPaiva, Célia MariaFernandes, Fernanda Rafaela2017-01-23T22:46:08Zoai:www.revistas.ufrj.br:article/6980Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2017-01-23T22:46:08Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
Study of Primary Productivity of the Mata Atlântica Biome via Remote Sensing Estudo da Produtividade Primária do Bioma Mata Atlântica via Sensoriamento Remoto |
title |
Study of Primary Productivity of the Mata Atlântica Biome via Remote Sensing |
spellingShingle |
Study of Primary Productivity of the Mata Atlântica Biome via Remote Sensing Paiva, Célia Maria Sequester of Carbon; MOD17A2; Climate Sequestro de Carbono; MOD17A2; Clima |
title_short |
Study of Primary Productivity of the Mata Atlântica Biome via Remote Sensing |
title_full |
Study of Primary Productivity of the Mata Atlântica Biome via Remote Sensing |
title_fullStr |
Study of Primary Productivity of the Mata Atlântica Biome via Remote Sensing |
title_full_unstemmed |
Study of Primary Productivity of the Mata Atlântica Biome via Remote Sensing |
title_sort |
Study of Primary Productivity of the Mata Atlântica Biome via Remote Sensing |
author |
Paiva, Célia Maria |
author_facet |
Paiva, Célia Maria Fernandes, Fernanda Rafaela |
author_role |
author |
author2 |
Fernandes, Fernanda Rafaela |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Paiva, Célia Maria Fernandes, Fernanda Rafaela |
dc.subject.por.fl_str_mv |
Sequester of Carbon; MOD17A2; Climate Sequestro de Carbono; MOD17A2; Clima |
topic |
Sequester of Carbon; MOD17A2; Climate Sequestro de Carbono; MOD17A2; Clima |
description |
The remote sensing techniques have been widely used to estimate the primary productivity of large regions on the planet, and have proved a very useful tools and satisfactory results. Therefore, the present work aims to estimate and identify the spatial and temporal (seasonal, annual and inter-annual) patterns of the primary productivity on Mata Atlântica biome by remote sensing. Therefore, data from product MOD17A2 of MODIS sensor and meteorological data of air temperature and precipitation from the meteorological station of the National Institute of Meteorology located in the study areawere used. The orbital data have a spatial resolution of 1 km and a temporal resolution of 8 days. The study period covers the years 2002-2011. The net primary productivity showed a minimum value during the winter (19,6 % of the total study period) and a maximum value in the transition between spring and summer (30,1 % of the total study period). In relation to carbon sequestration in the studied region was observed that fixation offset the annual emissions. It was also concluded that during the period studied the carbon balance was slightly negative. However, was a trend of increasing carbon sequestration in the period 2003-2011. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-05-10 |
dc.type.none.fl_str_mv |
|
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://revistas.ufrj.br/index.php/aigeo/article/view/6980 10.11137/2015_2_05_14 |
url |
https://revistas.ufrj.br/index.php/aigeo/article/view/6980 |
identifier_str_mv |
10.11137/2015_2_05_14 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.ufrj.br/index.php/aigeo/article/view/6980/5547 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 Anuário do Instituto de Geociências http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 Anuário do Instituto de Geociências http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
dc.source.none.fl_str_mv |
Anuário do Instituto de Geociências; Vol 38, No 2 (2015); 05-14 Anuário do Instituto de Geociências; Vol 38, No 2 (2015); 05-14 1982-3908 0101-9759 reponame:Anuário do Instituto de Geociências (Online) instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Anuário do Instituto de Geociências (Online) |
collection |
Anuário do Instituto de Geociências (Online) |
repository.name.fl_str_mv |
Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
anuario@igeo.ufrj.br|| |
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1797053536343687168 |