Analysis of changes in the vegetation cover of Pará using the Google Earth Engine
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | The Journal of Engineering and Exact Sciences |
Texto Completo: | https://periodicos.ufv.br/jcec/article/view/12037 |
Resumo: | In recent years, the process of deforestation in the Amazon Forest has intensified. Among the main causes, we highlight the encouragement of policies of territorial occupation, timber exploitation and increase of areas destined for livestock and agricultural crops. In Brazil, the Forest involves nine states that are part of the Amazon Basin, each of them having portions of the Amazon Forest. Among these states, Pará is the one that most contributed to the increase in deforestation. In this sense, this work aims to analyze the dynamics of the vegetation cover of Pará between the years 1989 and 2019 through the processing of satellite images on the Google Earth Engine (GEE) platform. For the execution of this work, the Normalized Difference Vegetation Index (NDVI) was calculated using JavaScript language programming in GEE. Images from the Landsat-5 / TM and Landsat-8 / OLI-TIRS satellites were used. The results showed a significant reduction in vegetation cover between 1989 and 2019 mainly in the eastern region of the state. The importance of GHG and NDVI in environmental monitoring and control is highlighted because through the results obtained it was possible to verify changes in the vegetation cover that the Forest has been suffering over the years. |
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Analysis of changes in the vegetation cover of Pará using the Google Earth Engine Análise de mudanças na cobertura vegetal do Pará utilizando o Google Earth EngineSensoriamento remotoÍndice de vegetaçãoGoogle Earth EngineDetección remota. NDVI. Vegetación. Motor de Google Earth.In recent years, the process of deforestation in the Amazon Forest has intensified. Among the main causes, we highlight the encouragement of policies of territorial occupation, timber exploitation and increase of areas destined for livestock and agricultural crops. In Brazil, the Forest involves nine states that are part of the Amazon Basin, each of them having portions of the Amazon Forest. Among these states, Pará is the one that most contributed to the increase in deforestation. In this sense, this work aims to analyze the dynamics of the vegetation cover of Pará between the years 1989 and 2019 through the processing of satellite images on the Google Earth Engine (GEE) platform. For the execution of this work, the Normalized Difference Vegetation Index (NDVI) was calculated using JavaScript language programming in GEE. Images from the Landsat-5 / TM and Landsat-8 / OLI-TIRS satellites were used. The results showed a significant reduction in vegetation cover between 1989 and 2019 mainly in the eastern region of the state. The importance of GHG and NDVI in environmental monitoring and control is highlighted because through the results obtained it was possible to verify changes in the vegetation cover that the Forest has been suffering over the years.Nos últimos anos o processo de desmatamento na Floresta Amazônica vem se intensificando. Entre as principais causas, destacam-se o estímulo a políticas de ocupação territorial, exploração madeireira e aumento das áreas destinadas a pecuária e cultivos agrícolas. No Brasil, a Floresta envolve nove Estados que fazem parte da Bacia amazônica cada um deles possuindo porções da Floresta Amazônica. Dentre esses Estados, o Pará é o que mais contribuiu para o aumento do desflorestamento. Neste sentido, este trabalho tem como objetivo analisar a dinâmica da cobertura vegetal do Pará entre os anos de 1989 e 2019 por meio do processamento de imagens de satélite na plataforma Google Earth Engine (GEE). Para a execução deste trabalho foi calculado, através de programação em linguagem JavaScript no GEE, o Índice de Vegetação por Diferença Normalizada (NDVI). Foram utilizadas imagens do satélite Landsat-5/TM e Landsat-8/OLI-TIRS. Os resultados mostraram uma redução significativa na cobertura vegetal entre 1989 e 2019 principalmente na região leste do Estado. Destaca-se a importância do GEE e do NDVI no monitoramento e controle ambiental pois através dos resultados obtidos foi possível constatar mudanças na cobertura vegetal que a Floresta vem sofrendo ao longo dos anos.Universidade Federal de Viçosa - UFV2021-03-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/jcec/article/view/1203710.18540/jcecvl7iss1pp12037-01-10eThe Journal of Engineering and Exact Sciences; Vol. 7 No. 1 (2021); 12037-01-10eThe Journal of Engineering and Exact Sciences; Vol. 7 Núm. 1 (2021); 12037-01-10eThe Journal of Engineering and Exact Sciences; v. 7 n. 1 (2021); 12037-01-10e2527-1075reponame:The Journal of Engineering and Exact Sciencesinstname:Universidade Federal de Viçosa (UFV)instacron:UFVporhttps://periodicos.ufv.br/jcec/article/view/12037/6491Copyright (c) 2021 The Journal of Engineering and Exact Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAzevedo, Laízy de SantanaNascimento, Evely Ferreira doBarbosa, Leonardo CarlosFerreira, Willian dos SantosSilva, José Rubens ScatimburgoBorges, Karoline2021-05-31T12:54:32Zoai:ojs.periodicos.ufv.br:article/12037Revistahttp://www.seer.ufv.br/seer/rbeq2/index.php/req2/oai2527-10752527-1075opendoar:2021-05-31T12:54:32The Journal of Engineering and Exact Sciences - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
Analysis of changes in the vegetation cover of Pará using the Google Earth Engine Análise de mudanças na cobertura vegetal do Pará utilizando o Google Earth Engine |
title |
Analysis of changes in the vegetation cover of Pará using the Google Earth Engine |
spellingShingle |
Analysis of changes in the vegetation cover of Pará using the Google Earth Engine Azevedo, Laízy de Santana Sensoriamento remoto Índice de vegetação Google Earth Engine Detección remota. NDVI. Vegetación. Motor de Google Earth. |
title_short |
Analysis of changes in the vegetation cover of Pará using the Google Earth Engine |
title_full |
Analysis of changes in the vegetation cover of Pará using the Google Earth Engine |
title_fullStr |
Analysis of changes in the vegetation cover of Pará using the Google Earth Engine |
title_full_unstemmed |
Analysis of changes in the vegetation cover of Pará using the Google Earth Engine |
title_sort |
Analysis of changes in the vegetation cover of Pará using the Google Earth Engine |
author |
Azevedo, Laízy de Santana |
author_facet |
Azevedo, Laízy de Santana Nascimento, Evely Ferreira do Barbosa, Leonardo Carlos Ferreira, Willian dos Santos Silva, José Rubens Scatimburgo Borges, Karoline |
author_role |
author |
author2 |
Nascimento, Evely Ferreira do Barbosa, Leonardo Carlos Ferreira, Willian dos Santos Silva, José Rubens Scatimburgo Borges, Karoline |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Azevedo, Laízy de Santana Nascimento, Evely Ferreira do Barbosa, Leonardo Carlos Ferreira, Willian dos Santos Silva, José Rubens Scatimburgo Borges, Karoline |
dc.subject.por.fl_str_mv |
Sensoriamento remoto Índice de vegetação Google Earth Engine Detección remota. NDVI. Vegetación. Motor de Google Earth. |
topic |
Sensoriamento remoto Índice de vegetação Google Earth Engine Detección remota. NDVI. Vegetación. Motor de Google Earth. |
description |
In recent years, the process of deforestation in the Amazon Forest has intensified. Among the main causes, we highlight the encouragement of policies of territorial occupation, timber exploitation and increase of areas destined for livestock and agricultural crops. In Brazil, the Forest involves nine states that are part of the Amazon Basin, each of them having portions of the Amazon Forest. Among these states, Pará is the one that most contributed to the increase in deforestation. In this sense, this work aims to analyze the dynamics of the vegetation cover of Pará between the years 1989 and 2019 through the processing of satellite images on the Google Earth Engine (GEE) platform. For the execution of this work, the Normalized Difference Vegetation Index (NDVI) was calculated using JavaScript language programming in GEE. Images from the Landsat-5 / TM and Landsat-8 / OLI-TIRS satellites were used. The results showed a significant reduction in vegetation cover between 1989 and 2019 mainly in the eastern region of the state. The importance of GHG and NDVI in environmental monitoring and control is highlighted because through the results obtained it was possible to verify changes in the vegetation cover that the Forest has been suffering over the years. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-03-30 |
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.ufv.br/jcec/article/view/12037 10.18540/jcecvl7iss1pp12037-01-10e |
url |
https://periodicos.ufv.br/jcec/article/view/12037 |
identifier_str_mv |
10.18540/jcecvl7iss1pp12037-01-10e |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufv.br/jcec/article/view/12037/6491 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 The Journal of Engineering and Exact Sciences https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 The Journal of Engineering and Exact Sciences https://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 de Viçosa - UFV |
publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
dc.source.none.fl_str_mv |
The Journal of Engineering and Exact Sciences; Vol. 7 No. 1 (2021); 12037-01-10e The Journal of Engineering and Exact Sciences; Vol. 7 Núm. 1 (2021); 12037-01-10e The Journal of Engineering and Exact Sciences; v. 7 n. 1 (2021); 12037-01-10e 2527-1075 reponame:The Journal of Engineering and Exact Sciences instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
The Journal of Engineering and Exact Sciences |
collection |
The Journal of Engineering and Exact Sciences |
repository.name.fl_str_mv |
The Journal of Engineering and Exact Sciences - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
|
_version_ |
1808845246136582144 |