Multitemporal analysis by remote sensing of the evolution of coastal line of Guanabara Bay, Rio de Janeiro, Brazil

Detalhes bibliográficos
Autor(a) principal: Gloriza Fernandes, Patrícia
Data de Publicação: 2020
Outros Autores: Baptista Neto, José Antônio, Silva Vieira, Khaue, Pompermayer de Almeida, Marcelo, Righeti Correa, Thulio, de Freitas Delgado, Jessica, Monteiro da Fonseca, Estefan
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Sistemas & Gestão
Texto Completo: https://www.revistasg.uff.br/sg/article/view/1619
Resumo: Changes in coastlines are considered one of the most dynamic processes in coastal environments. Therefore, the mapping of such variations has become important in the survey of coastal impacts. In the past years, remote sensing has been used in mapping the coastline. In this research, the coastline of Guanabara Bay, in Rio de Janeiro, Brazil, was mapped in the years of 1938, 1974, 1984, 1997, and 2015, by using geo-referencing software and existing cartographic documents. To map the changes, the bay was divided into four sections, in which maps were produced in graphical format, using ArcGIS, in scales 1:175.000 and 1:250.000. The research used satellite images from Landsat 1 Multispectral Scanner System (MSS), Landsat 5 Thematic Mapper (TM), and Landsat 8 Operational Land Imager (OLI), integrated under geographic information system database, for a visual analysis (qualitative), and statistical observation (quantitative) of orbital images. The data indicate more intense transformations between the years 1938 and 1974, with a total landing area of 15.220.000m². This area corresponds to 69.23% of the amount suppressed during the interval 1938-2015.
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spelling Multitemporal analysis by remote sensing of the evolution of coastal line of Guanabara Bay, Rio de Janeiro, BrazilAnálise multitemporal por sensoriamento remoto da evolução da linha costeira da Baía de Guanabara, Rio de Janeiro, BrasilChanges in coastlines are considered one of the most dynamic processes in coastal environments. Therefore, the mapping of such variations has become important in the survey of coastal impacts. In the past years, remote sensing has been used in mapping the coastline. In this research, the coastline of Guanabara Bay, in Rio de Janeiro, Brazil, was mapped in the years of 1938, 1974, 1984, 1997, and 2015, by using geo-referencing software and existing cartographic documents. To map the changes, the bay was divided into four sections, in which maps were produced in graphical format, using ArcGIS, in scales 1:175.000 and 1:250.000. The research used satellite images from Landsat 1 Multispectral Scanner System (MSS), Landsat 5 Thematic Mapper (TM), and Landsat 8 Operational Land Imager (OLI), integrated under geographic information system database, for a visual analysis (qualitative), and statistical observation (quantitative) of orbital images. The data indicate more intense transformations between the years 1938 and 1974, with a total landing area of 15.220.000m². This area corresponds to 69.23% of the amount suppressed during the interval 1938-2015.As mudanças nas linhas costeiras são consideradas um dos processos mais dinâmicos em ambientes costeiros. Portanto, o mapeamento de tais variações tornou-se importante no levantamento dos impactos costeiros. Nos últimos anos, o sensoriamento remoto tem sido utilizado no mapeamento da linha de costa. Nesta pesquisa, o litoral da Baía de Guanabara, localizada no estado do Rio de Janeiro, Brasil, foi mapeado nos anos de 1938, 1974, 1984, 1997 e 2015, utilizando um software de georreferenciamento e documentos cartográficos. Para mapear as mudanças, a baía foi dividida em quatro seções, para as quais foram produzidos mapas em formato gráfico, usando ArcGIS, em escalas de 1:175.000 e 1:250.000. A pesquisa utilizou imagens de satélite de Landsat 1 Multispectral Scanner System (MSS), Landsat 5 Thematic Mapper (TM) e Landsat 8 Operational Land Imager (OLI), integradas em base de dados de um sistema de informação geográfica, para uma análise visual (qualitativa) e observação estatística (quantitativa) de imagens orbitais. Os dados indicam transformações mais intensas entre os anos 1938 e 1974, com uma área total de desembarque de 15.220.000m2. Esta área corresponde a 69,23% da quantidade suprimida durante o intervalo entre 1938 e 2015.ABEC2020-04-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmltext/htmlapplication/pdfapplication/pdfhttps://www.revistasg.uff.br/sg/article/view/161910.20985/1980-5160.2020.v15n1.1619Sistemas & Gestão; v. 15 n. 1 (2020): ABRIL 2020; 59-691980-516010.20985/1980-5160.2020.v15n1reponame:Sistemas & Gestãoinstname:Universidade Federal Fluminense (UFF)instacron:UFFporenghttps://www.revistasg.uff.br/sg/article/view/1619/1245https://www.revistasg.uff.br/sg/article/view/1619/1246https://www.revistasg.uff.br/sg/article/view/1619/1247https://www.revistasg.uff.br/sg/article/view/1619/1248Copyright (c) 2020 Sistemas & Gestãoinfo:eu-repo/semantics/openAccessGloriza Fernandes, Patrícia Baptista Neto, José AntônioSilva Vieira, Khaue Pompermayer de Almeida, MarceloRigheti Correa, Thulio de Freitas Delgado, JessicaMonteiro da Fonseca, Estefan 2020-05-29T17:13:42Zoai:ojs.www.revistasg.uff.br:article/1619Revistahttps://www.revistasg.uff.br/sgPUBhttps://www.revistasg.uff.br/sg/oai||sg.revista@gmail.com|| periodicos@proppi.uff.br1980-51601980-5160opendoar:2020-05-29T17:13:42Sistemas & Gestão - Universidade Federal Fluminense (UFF)false
dc.title.none.fl_str_mv Multitemporal analysis by remote sensing of the evolution of coastal line of Guanabara Bay, Rio de Janeiro, Brazil
Análise multitemporal por sensoriamento remoto da evolução da linha costeira da Baía de Guanabara, Rio de Janeiro, Brasil
title Multitemporal analysis by remote sensing of the evolution of coastal line of Guanabara Bay, Rio de Janeiro, Brazil
spellingShingle Multitemporal analysis by remote sensing of the evolution of coastal line of Guanabara Bay, Rio de Janeiro, Brazil
Gloriza Fernandes, Patrícia
title_short Multitemporal analysis by remote sensing of the evolution of coastal line of Guanabara Bay, Rio de Janeiro, Brazil
title_full Multitemporal analysis by remote sensing of the evolution of coastal line of Guanabara Bay, Rio de Janeiro, Brazil
title_fullStr Multitemporal analysis by remote sensing of the evolution of coastal line of Guanabara Bay, Rio de Janeiro, Brazil
title_full_unstemmed Multitemporal analysis by remote sensing of the evolution of coastal line of Guanabara Bay, Rio de Janeiro, Brazil
title_sort Multitemporal analysis by remote sensing of the evolution of coastal line of Guanabara Bay, Rio de Janeiro, Brazil
author Gloriza Fernandes, Patrícia
author_facet Gloriza Fernandes, Patrícia
Baptista Neto, José Antônio
Silva Vieira, Khaue
Pompermayer de Almeida, Marcelo
Righeti Correa, Thulio
de Freitas Delgado, Jessica
Monteiro da Fonseca, Estefan
author_role author
author2 Baptista Neto, José Antônio
Silva Vieira, Khaue
Pompermayer de Almeida, Marcelo
Righeti Correa, Thulio
de Freitas Delgado, Jessica
Monteiro da Fonseca, Estefan
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Gloriza Fernandes, Patrícia
Baptista Neto, José Antônio
Silva Vieira, Khaue
Pompermayer de Almeida, Marcelo
Righeti Correa, Thulio
de Freitas Delgado, Jessica
Monteiro da Fonseca, Estefan
description Changes in coastlines are considered one of the most dynamic processes in coastal environments. Therefore, the mapping of such variations has become important in the survey of coastal impacts. In the past years, remote sensing has been used in mapping the coastline. In this research, the coastline of Guanabara Bay, in Rio de Janeiro, Brazil, was mapped in the years of 1938, 1974, 1984, 1997, and 2015, by using geo-referencing software and existing cartographic documents. To map the changes, the bay was divided into four sections, in which maps were produced in graphical format, using ArcGIS, in scales 1:175.000 and 1:250.000. The research used satellite images from Landsat 1 Multispectral Scanner System (MSS), Landsat 5 Thematic Mapper (TM), and Landsat 8 Operational Land Imager (OLI), integrated under geographic information system database, for a visual analysis (qualitative), and statistical observation (quantitative) of orbital images. The data indicate more intense transformations between the years 1938 and 1974, with a total landing area of 15.220.000m². This area corresponds to 69.23% of the amount suppressed during the interval 1938-2015.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-13
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dc.identifier.uri.fl_str_mv https://www.revistasg.uff.br/sg/article/view/1619
10.20985/1980-5160.2020.v15n1.1619
url https://www.revistasg.uff.br/sg/article/view/1619
identifier_str_mv 10.20985/1980-5160.2020.v15n1.1619
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://www.revistasg.uff.br/sg/article/view/1619/1245
https://www.revistasg.uff.br/sg/article/view/1619/1246
https://www.revistasg.uff.br/sg/article/view/1619/1247
https://www.revistasg.uff.br/sg/article/view/1619/1248
dc.rights.driver.fl_str_mv Copyright (c) 2020 Sistemas & Gestão
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Sistemas & Gestão
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
text/html
application/pdf
application/pdf
dc.publisher.none.fl_str_mv ABEC
publisher.none.fl_str_mv ABEC
dc.source.none.fl_str_mv Sistemas & Gestão; v. 15 n. 1 (2020): ABRIL 2020; 59-69
1980-5160
10.20985/1980-5160.2020.v15n1
reponame:Sistemas & Gestão
instname:Universidade Federal Fluminense (UFF)
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instname_str Universidade Federal Fluminense (UFF)
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reponame_str Sistemas & Gestão
collection Sistemas & Gestão
repository.name.fl_str_mv Sistemas & Gestão - Universidade Federal Fluminense (UFF)
repository.mail.fl_str_mv ||sg.revista@gmail.com|| periodicos@proppi.uff.br
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