DINÂMICA SAZONAL DE REMANESCENTES DA MATA ATLÂNTICA, A PARTIR DE SÉRIES TEMPORAIS NDVI/MODIS / SEASONAL DYNAMICS OF THE REMAINING ATLANTIC FOREST, FROM A TIME SERIES NDVI/MODIS
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Geo UERJ |
Texto Completo: | https://www.e-publicacoes.uerj.br/geouerj/article/view/15868 |
Resumo: | doi: 10.12957/geouerj.2017.15868Remote sensing of multitemporal orbital data is an effective tool of great potential in environmental studies. The temporal series of vegetation indices such as NDVI can help in studies that involve the analysis and monitoring of types and changes of vegetation cover. The present work had the objective of analyzing the seasonal dynamics of forest remnants of the Atlantic Forest, from a time series of NDVI / MODIS images from 2000 to 2011, in the Sinos river basin - RS. From the MODIS images, temporal spectra were generated for the Phytophysiognomy of Semidecidual Seasonal Lowland Forest; Submontane Semidecidual Seasonal Forest; Semidecidual Seasonal Forest Montana; And Mixed Ombrophilous Forest. Based on the temporal spectra it is observed that the NDVI maintains a temporal pattern, generally with smaller values in the winter and larger values in the summer. This temporal characteristic has variable monthly amplitudes. The seasonal dynamics of the NDVI are influenced mainly by the variation of the temperatures between the seasons of the year. The semi-deciduous characteristic, due to the low temperatures imposed on the phytophysiognomies, changes the spectral dynamics of the vegetation and, therefore, the range of NDVI variation. |
id |
UERJ-21_35a7a2784b8f3cc602eb7324434121b2 |
---|---|
oai_identifier_str |
oai:ojs.www.e-publicacoes.uerj.br:article/15868 |
network_acronym_str |
UERJ-21 |
network_name_str |
Geo UERJ |
repository_id_str |
|
spelling |
DINÂMICA SAZONAL DE REMANESCENTES DA MATA ATLÂNTICA, A PARTIR DE SÉRIES TEMPORAIS NDVI/MODIS / SEASONAL DYNAMICS OF THE REMAINING ATLANTIC FOREST, FROM A TIME SERIES NDVI/MODISSEASONAL DYNAMICS OF THE REMAINING ATLANTIC FOREST, FROM A TIME SERIES NDVI/MODISensoriamento remotoImagens MODISNDVISérie temporalMata Atlântica.Remote sensingImagesNDVITime seriesAtlantic Forest.doi: 10.12957/geouerj.2017.15868Remote sensing of multitemporal orbital data is an effective tool of great potential in environmental studies. The temporal series of vegetation indices such as NDVI can help in studies that involve the analysis and monitoring of types and changes of vegetation cover. The present work had the objective of analyzing the seasonal dynamics of forest remnants of the Atlantic Forest, from a time series of NDVI / MODIS images from 2000 to 2011, in the Sinos river basin - RS. From the MODIS images, temporal spectra were generated for the Phytophysiognomy of Semidecidual Seasonal Lowland Forest; Submontane Semidecidual Seasonal Forest; Semidecidual Seasonal Forest Montana; And Mixed Ombrophilous Forest. Based on the temporal spectra it is observed that the NDVI maintains a temporal pattern, generally with smaller values in the winter and larger values in the summer. This temporal characteristic has variable monthly amplitudes. The seasonal dynamics of the NDVI are influenced mainly by the variation of the temperatures between the seasons of the year. The semi-deciduous characteristic, due to the low temperatures imposed on the phytophysiognomies, changes the spectral dynamics of the vegetation and, therefore, the range of NDVI variation.doi: 10.12957/geouerj.2017.15868O sensoriamento remoto de dados orbitais multitemporais é uma ferramenta eficaz de grande potencial em estudos ambientais. As séries temporais de índices de vegetação como o NDVI, podem auxiliar em estudos que envolvem a análise e monitoramento de tipos e mudanças da cobertura vegetal. O presente trabalho teve por objetivo analisar a dinâmica sazonal de remanescentes florestais da Mata Atlântica, a partir de uma série temporal de imagens de NDVI/MODIS do período de 2000 a 2011, na bacia do rio dos Sinos – RS. A partir das imagens MODIS, foram gerados espectros temporais para fitofisionomia de Floresta Estacional Semidecidual de Terras Baixas; Floresta Estacional Semidecidual Submontana; Floresta Estacional Semidecidual Montana; e Floresta Ombrófila Mista. Com base nos espectros temporais observa-se que o NDVI mantém um padrão temporal, geralmente com valores menores no inverno e maiores no verão. Essa característica temporal tem amplitudes mensais variáveis. A dinâmica sazonal do NDVI é influenciada principalmente pela variação das temperaturas entre as estações do ano. A característica semidecídua, decorrente das baixas temperaturas impostas às fitofisionomias, altera a dinâmica espectral da vegetação e, dessa forma, a amplitude de variação do NDVI.Universidade do Estado do Rio de Janeiro2017-06-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.e-publicacoes.uerj.br/geouerj/article/view/1586810.12957/geouerj.2017.15868Geo UERJ; n. 30 (2017): Jan/Jun - IUPEA 2016 Lisboa; 214-2391981-90211415-7543reponame:Geo UERJinstname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UERJporhttps://www.e-publicacoes.uerj.br/geouerj/article/view/15868/20896Ballejo da Costa, Letícia CeliseGuasselli, Laurindo Antonioinfo:eu-repo/semantics/openAccess2022-02-20T21:35:10Zoai:ojs.www.e-publicacoes.uerj.br:article/15868Revistahttps://www.e-publicacoes.uerj.br/index.php/geouerjPUBhttps://www.e-publicacoes.uerj.br/index.php/geouerj/oaitunesregina@gmail.com || ppeuerj@eduerj.uerj.br || geouerj.revista@gmail.com || glauciomarafon@hotmail.com1981-90211415-7543opendoar:2022-02-20T21:35:10Geo UERJ - Universidade do Estado do Rio de Janeiro (UERJ)false |
dc.title.none.fl_str_mv |
DINÂMICA SAZONAL DE REMANESCENTES DA MATA ATLÂNTICA, A PARTIR DE SÉRIES TEMPORAIS NDVI/MODIS / SEASONAL DYNAMICS OF THE REMAINING ATLANTIC FOREST, FROM A TIME SERIES NDVI/MODIS SEASONAL DYNAMICS OF THE REMAINING ATLANTIC FOREST, FROM A TIME SERIES NDVI/MODIS |
title |
DINÂMICA SAZONAL DE REMANESCENTES DA MATA ATLÂNTICA, A PARTIR DE SÉRIES TEMPORAIS NDVI/MODIS / SEASONAL DYNAMICS OF THE REMAINING ATLANTIC FOREST, FROM A TIME SERIES NDVI/MODIS |
spellingShingle |
DINÂMICA SAZONAL DE REMANESCENTES DA MATA ATLÂNTICA, A PARTIR DE SÉRIES TEMPORAIS NDVI/MODIS / SEASONAL DYNAMICS OF THE REMAINING ATLANTIC FOREST, FROM A TIME SERIES NDVI/MODIS Ballejo da Costa, Letícia Celise ensoriamento remoto Imagens MODIS NDVI Série temporal Mata Atlântica. Remote sensing Images NDVI Time series Atlantic Forest. |
title_short |
DINÂMICA SAZONAL DE REMANESCENTES DA MATA ATLÂNTICA, A PARTIR DE SÉRIES TEMPORAIS NDVI/MODIS / SEASONAL DYNAMICS OF THE REMAINING ATLANTIC FOREST, FROM A TIME SERIES NDVI/MODIS |
title_full |
DINÂMICA SAZONAL DE REMANESCENTES DA MATA ATLÂNTICA, A PARTIR DE SÉRIES TEMPORAIS NDVI/MODIS / SEASONAL DYNAMICS OF THE REMAINING ATLANTIC FOREST, FROM A TIME SERIES NDVI/MODIS |
title_fullStr |
DINÂMICA SAZONAL DE REMANESCENTES DA MATA ATLÂNTICA, A PARTIR DE SÉRIES TEMPORAIS NDVI/MODIS / SEASONAL DYNAMICS OF THE REMAINING ATLANTIC FOREST, FROM A TIME SERIES NDVI/MODIS |
title_full_unstemmed |
DINÂMICA SAZONAL DE REMANESCENTES DA MATA ATLÂNTICA, A PARTIR DE SÉRIES TEMPORAIS NDVI/MODIS / SEASONAL DYNAMICS OF THE REMAINING ATLANTIC FOREST, FROM A TIME SERIES NDVI/MODIS |
title_sort |
DINÂMICA SAZONAL DE REMANESCENTES DA MATA ATLÂNTICA, A PARTIR DE SÉRIES TEMPORAIS NDVI/MODIS / SEASONAL DYNAMICS OF THE REMAINING ATLANTIC FOREST, FROM A TIME SERIES NDVI/MODIS |
author |
Ballejo da Costa, Letícia Celise |
author_facet |
Ballejo da Costa, Letícia Celise Guasselli, Laurindo Antonio |
author_role |
author |
author2 |
Guasselli, Laurindo Antonio |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Ballejo da Costa, Letícia Celise Guasselli, Laurindo Antonio |
dc.subject.por.fl_str_mv |
ensoriamento remoto Imagens MODIS NDVI Série temporal Mata Atlântica. Remote sensing Images NDVI Time series Atlantic Forest. |
topic |
ensoriamento remoto Imagens MODIS NDVI Série temporal Mata Atlântica. Remote sensing Images NDVI Time series Atlantic Forest. |
description |
doi: 10.12957/geouerj.2017.15868Remote sensing of multitemporal orbital data is an effective tool of great potential in environmental studies. The temporal series of vegetation indices such as NDVI can help in studies that involve the analysis and monitoring of types and changes of vegetation cover. The present work had the objective of analyzing the seasonal dynamics of forest remnants of the Atlantic Forest, from a time series of NDVI / MODIS images from 2000 to 2011, in the Sinos river basin - RS. From the MODIS images, temporal spectra were generated for the Phytophysiognomy of Semidecidual Seasonal Lowland Forest; Submontane Semidecidual Seasonal Forest; Semidecidual Seasonal Forest Montana; And Mixed Ombrophilous Forest. Based on the temporal spectra it is observed that the NDVI maintains a temporal pattern, generally with smaller values in the winter and larger values in the summer. This temporal characteristic has variable monthly amplitudes. The seasonal dynamics of the NDVI are influenced mainly by the variation of the temperatures between the seasons of the year. The semi-deciduous characteristic, due to the low temperatures imposed on the phytophysiognomies, changes the spectral dynamics of the vegetation and, therefore, the range of NDVI variation. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-06-11 |
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://www.e-publicacoes.uerj.br/geouerj/article/view/15868 10.12957/geouerj.2017.15868 |
url |
https://www.e-publicacoes.uerj.br/geouerj/article/view/15868 |
identifier_str_mv |
10.12957/geouerj.2017.15868 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://www.e-publicacoes.uerj.br/geouerj/article/view/15868/20896 |
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 do Estado do Rio de Janeiro |
publisher.none.fl_str_mv |
Universidade do Estado do Rio de Janeiro |
dc.source.none.fl_str_mv |
Geo UERJ; n. 30 (2017): Jan/Jun - IUPEA 2016 Lisboa; 214-239 1981-9021 1415-7543 reponame:Geo UERJ instname:Universidade do Estado do Rio de Janeiro (UERJ) instacron:UERJ |
instname_str |
Universidade do Estado do Rio de Janeiro (UERJ) |
instacron_str |
UERJ |
institution |
UERJ |
reponame_str |
Geo UERJ |
collection |
Geo UERJ |
repository.name.fl_str_mv |
Geo UERJ - Universidade do Estado do Rio de Janeiro (UERJ) |
repository.mail.fl_str_mv |
tunesregina@gmail.com || ppeuerj@eduerj.uerj.br || geouerj.revista@gmail.com || glauciomarafon@hotmail.com |
_version_ |
1799317528218959872 |