Spatial‑temporal analysis of MODIS image applied to dynamic of Pantanal biome

Detalhes bibliográficos
Autor(a) principal: Adami, Marcos
Data de Publicação: 2008
Outros Autores: Freitas, Ramon Morais de, Padovani, Carlos Roberto, Shimabukuro, Yosio Edemir, Moreira, Mauricio Alves
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Agropecuária Brasileira (Online)
Texto Completo: https://seer.sct.embrapa.br/index.php/pab/article/view/782
Resumo: The objective of this work was to evaluate multitemporal data, obtained by moderate resolution imaging spectroradiometer (MODIS) sensor, for the study of spatial-temporal dynamics in two subregions of the Pantanal biome. One hundred and thirty nine enhanced vegetation index (EVI) images, from MOD13 vegetation index product, altimetry data from shuttle radar topography mission (SRTM) and tropical rainfall measuring mission (TRMM) precipitation data were used. In order to reduce data dimensionality, MODIS EVI images were sampled based on contour lines spacing of 10 m. The autocorrelation and cluster analysis were used for spatial and temporal evaluation of the samples; and the principal components analysis was applied to all dataset for spatial and temporal analysis. Results showed a spatial and temporal dependence between spectral response and precipitation. The cluster analysis indicated two spatial groups, suggesting the need for the analysis of the entire study area. The principal components analysis allowed to distinguish four behaviors: the areas permanently flooded; nonflooded areas composed by vegetation; flooded areas with higher spectral vegetation response; and riparian vegetation areas.
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spelling Spatial‑temporal analysis of MODIS image applied to dynamic of Pantanal biomeEstudo da dinâmica espaço-temporal do bioma Pantanal por meio de imagens MODISremote sensing; time series; cluster analysissensoriamento remoto; série temporal; análise de agrupamentoThe objective of this work was to evaluate multitemporal data, obtained by moderate resolution imaging spectroradiometer (MODIS) sensor, for the study of spatial-temporal dynamics in two subregions of the Pantanal biome. One hundred and thirty nine enhanced vegetation index (EVI) images, from MOD13 vegetation index product, altimetry data from shuttle radar topography mission (SRTM) and tropical rainfall measuring mission (TRMM) precipitation data were used. In order to reduce data dimensionality, MODIS EVI images were sampled based on contour lines spacing of 10 m. The autocorrelation and cluster analysis were used for spatial and temporal evaluation of the samples; and the principal components analysis was applied to all dataset for spatial and temporal analysis. Results showed a spatial and temporal dependence between spectral response and precipitation. The cluster analysis indicated two spatial groups, suggesting the need for the analysis of the entire study area. The principal components analysis allowed to distinguish four behaviors: the areas permanently flooded; nonflooded areas composed by vegetation; flooded areas with higher spectral vegetation response; and riparian vegetation areas.O objetivo deste trabalho foi avaliar dados multitemporais, obtidos pelo sensor "moderate resolution imaging spectroradiometer" (MODIS), para o estudo da dinâmica espaço-temporal de duas sub-regiões do bioma Pantanal. Foram utilizadas 139 imagens "enhanced vegetation index" (EVI), do produto MOD13 "vegetation index", dados de altimetria oriundos do "shuttle radar topography mission" (SRTM) e dados de precipitação do "tropical rainfall measuring mission" (TRMM). Para a redução da dimensionalidade dos dados, as imagens MODIS-EVI foram amostradas com base nas curvas de nível espaçadas em 10 m. Foram aplicadas as técnicas de análise de autocorrelação e análise de agrupamentos aos dados das amostras, e a análise de componentes principais na área total da imagem. Houve dependência tanto temporal quanto espacial da resposta espectral com a precipitação. A análise de agrupamentos apontou a presença de dois grupos, o que indicou a necessidade da análise completa da área. A análise de componentes principais permitiu diferenciar quatro comportamentos distintos: as áreas permanentemente alagadas; as áreas não inundáveis, compostas por vegetação; as áreas inundáveis com maior resposta de vegetação; e áreas com vegetação ripária.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCNPq e CAPESAdami, MarcosFreitas, Ramon Morais dePadovani, Carlos RobertoShimabukuro, Yosio EdemirMoreira, Mauricio Alves2008-10-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/782Pesquisa Agropecuaria Brasileira; v.43, n.10, out. 2008; 1371-1378Pesquisa Agropecuária Brasileira; v.43, n.10, out. 2008; 1371-13781678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/782/5526info:eu-repo/semantics/openAccess2014-07-17T17:39:14Zoai:ojs.seer.sct.embrapa.br:article/782Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-07-17T17:39:14Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Spatial‑temporal analysis of MODIS image applied to dynamic of Pantanal biome
Estudo da dinâmica espaço-temporal do bioma Pantanal por meio de imagens MODIS
title Spatial‑temporal analysis of MODIS image applied to dynamic of Pantanal biome
spellingShingle Spatial‑temporal analysis of MODIS image applied to dynamic of Pantanal biome
Adami, Marcos
remote sensing; time series; cluster analysis
sensoriamento remoto; série temporal; análise de agrupamento
title_short Spatial‑temporal analysis of MODIS image applied to dynamic of Pantanal biome
title_full Spatial‑temporal analysis of MODIS image applied to dynamic of Pantanal biome
title_fullStr Spatial‑temporal analysis of MODIS image applied to dynamic of Pantanal biome
title_full_unstemmed Spatial‑temporal analysis of MODIS image applied to dynamic of Pantanal biome
title_sort Spatial‑temporal analysis of MODIS image applied to dynamic of Pantanal biome
author Adami, Marcos
author_facet Adami, Marcos
Freitas, Ramon Morais de
Padovani, Carlos Roberto
Shimabukuro, Yosio Edemir
Moreira, Mauricio Alves
author_role author
author2 Freitas, Ramon Morais de
Padovani, Carlos Roberto
Shimabukuro, Yosio Edemir
Moreira, Mauricio Alves
author2_role author
author
author
author
dc.contributor.none.fl_str_mv
CNPq e CAPES
dc.contributor.author.fl_str_mv Adami, Marcos
Freitas, Ramon Morais de
Padovani, Carlos Roberto
Shimabukuro, Yosio Edemir
Moreira, Mauricio Alves
dc.subject.por.fl_str_mv remote sensing; time series; cluster analysis
sensoriamento remoto; série temporal; análise de agrupamento
topic remote sensing; time series; cluster analysis
sensoriamento remoto; série temporal; análise de agrupamento
description The objective of this work was to evaluate multitemporal data, obtained by moderate resolution imaging spectroradiometer (MODIS) sensor, for the study of spatial-temporal dynamics in two subregions of the Pantanal biome. One hundred and thirty nine enhanced vegetation index (EVI) images, from MOD13 vegetation index product, altimetry data from shuttle radar topography mission (SRTM) and tropical rainfall measuring mission (TRMM) precipitation data were used. In order to reduce data dimensionality, MODIS EVI images were sampled based on contour lines spacing of 10 m. The autocorrelation and cluster analysis were used for spatial and temporal evaluation of the samples; and the principal components analysis was applied to all dataset for spatial and temporal analysis. Results showed a spatial and temporal dependence between spectral response and precipitation. The cluster analysis indicated two spatial groups, suggesting the need for the analysis of the entire study area. The principal components analysis allowed to distinguish four behaviors: the areas permanently flooded; nonflooded areas composed by vegetation; flooded areas with higher spectral vegetation response; and riparian vegetation areas.
publishDate 2008
dc.date.none.fl_str_mv 2008-10-31
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://seer.sct.embrapa.br/index.php/pab/article/view/782
url https://seer.sct.embrapa.br/index.php/pab/article/view/782
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.sct.embrapa.br/index.php/pab/article/view/782/5526
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 Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
publisher.none.fl_str_mv Pesquisa Agropecuaria Brasileira
Pesquisa Agropecuária Brasileira
dc.source.none.fl_str_mv Pesquisa Agropecuaria Brasileira; v.43, n.10, out. 2008; 1371-1378
Pesquisa Agropecuária Brasileira; v.43, n.10, out. 2008; 1371-1378
1678-3921
0100-104x
reponame:Pesquisa Agropecuária Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Agropecuária Brasileira (Online)
collection Pesquisa Agropecuária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pab@sct.embrapa.br || sct.pab@embrapa.br
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