Multitemporal analysis by remote sensing of the evolution of coastal line of Guanabara Bay, Rio de Janeiro, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
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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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 |
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.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) instacron:UFF |
instname_str |
Universidade Federal Fluminense (UFF) |
instacron_str |
UFF |
institution |
UFF |
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 |
_version_ |
1798320145039360000 |