Land Use/Land Cover (LULC) classification based on SAR/Sentinel 1 image in Federal District, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Sociedade & natureza (Online) |
Texto Completo: | https://seer.ufu.br/index.php/sociedadenatureza/article/view/55954 |
Resumo: | The social and environmental challenges are directly related to theexisting population concentration in urban environments, whichcontribute to more than 75% of the world’s Gross Domestic Product(GDP). Thus, it is essential to detect the dynamics of Land Use andLand Cover (LULC) aiming to support public policies elaboration andimplementation. SAR systems, especially the interferometrytechniques, have been shown great results in face of this challenge,since they do not have direct influence from the atmosphere. Limitedstudies were conducted using interferometric coherence from the Sentinel-1 satellite in an urban environment. In this sense, theobjective of this study was to classify the LULC of part of the FederalDistrict, Brazil based on different dimensions considering the measuresof intensity and interferometric coherence for the year 2018. The resultsmeasured from the Kappa and F1 metrics indicate that the insertion ofa time series of interferometric coherencies improves the performance ofthe classification, from 0.50 to 0.75 (Kappa) and from 0.54to 0.79 (F1), afact that was evident in the improved performance of the thematicclasses related to vegetation cover. Furthermore, it is also found thatthe identification of urban objects is best represented by the use of onlythe intensities (VV and VH) in the classification process. |
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Land Use/Land Cover (LULC) classification based on SAR/Sentinel 1 image in Federal District, BrazilClassificação do uso e cobertura da terra utilizando imagens SAR/Sentinel 1 no Distrito FederalSARSentinel 1Coerência interferométricaAmbiente urbanoObjetos urbanosSARSentinel 1Interferometric coherenceUrban environmentUrban objectsThe social and environmental challenges are directly related to theexisting population concentration in urban environments, whichcontribute to more than 75% of the world’s Gross Domestic Product(GDP). Thus, it is essential to detect the dynamics of Land Use andLand Cover (LULC) aiming to support public policies elaboration andimplementation. SAR systems, especially the interferometrytechniques, have been shown great results in face of this challenge,since they do not have direct influence from the atmosphere. Limitedstudies were conducted using interferometric coherence from the Sentinel-1 satellite in an urban environment. In this sense, theobjective of this study was to classify the LULC of part of the FederalDistrict, Brazil based on different dimensions considering the measuresof intensity and interferometric coherence for the year 2018. The resultsmeasured from the Kappa and F1 metrics indicate that the insertion ofa time series of interferometric coherencies improves the performance ofthe classification, from 0.50 to 0.75 (Kappa) and from 0.54to 0.79 (F1), afact that was evident in the improved performance of the thematicclasses related to vegetation cover. Furthermore, it is also found thatthe identification of urban objects is best represented by the use of onlythe intensities (VV and VH) in the classification process.Os desafios sociais e ambientais estão diretamente relacionados àconcentração populacional existente nos ambientes urbanos, quecontribuem em mais de 75% do Produto Interno Bruto (PIB) mundial.Assim, é essencial a detecção da dinâmica do uso e cobertura da terravisando à elaboração e efetivação de políticas públicas. Os sistemasSAR, especialmente as técnicas de interferometria, vêm apresentandoótimos resultados frente a esse desafio, uma vez que não possueminfluência direta da atmosfera. Limitados estudos foram realizadosutilizando-se a coerência interferométrica proveniente do satéliteSentinel-1 em ambiente urbano. Nesse sentido o objetivo desse estudofoi classificar o uso e cobertura da terra de parte do Distrito Federaltendo por base diferentes dimensionalidades considerando as medidasde intensidade e de coerência interferométrica relativas ao ano de 2018.Os resultados mensurados a partir das métricas Kappa e F1 indicamque a inserção de uma série temporal de coerências interferométricasmelhora o desempenho da classificação, de 0,50 a 0,75 (Kappa) e de 0,54a 0,79 (F1), fato que ficou evidente na melhora de desempenho dasclasses temáticas relacionadas à cobertura vegetal. Ademais, tambémconstata-se que a identificação dos objetos urbanos é melhorrepresentada pela utilização apenas das intensidades (VV e VH) noprocesso classificatórioUniversidade Federal de Uberlândia2021-02-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/5595410.14393/SN-v33-2021-55954Sociedade & Natureza; Vol. 33 (2021)Sociedade & Natureza; v. 33 (2021)1982-45130103-1570reponame:Sociedade & natureza (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporenghttps://seer.ufu.br/index.php/sociedadenatureza/article/view/55954/30935https://seer.ufu.br/index.php/sociedadenatureza/article/view/55954/30936Copyright (c) 2021 Felipe Lima Ramos Barbosa, Renato Fontes Guimarães, Osmar Abílio de Carvalho Júnior, Roberto Arnaldo Trancoso Gomesinfo:eu-repo/semantics/openAccessLima Ramos Barbosa, FelipeFontes Guimarães, RenatoAbílio de Carvalho Júnior, OsmarArnaldo Trancoso Gomes, Roberto2021-07-28T18:28:11Zoai:ojs.www.seer.ufu.br:article/55954Revistahttp://www.sociedadenatureza.ig.ufu.br/PUBhttps://seer.ufu.br/index.php/sociedadenatureza/oai||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br1982-45130103-1570opendoar:2021-07-28T18:28:11Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Land Use/Land Cover (LULC) classification based on SAR/Sentinel 1 image in Federal District, Brazil Classificação do uso e cobertura da terra utilizando imagens SAR/Sentinel 1 no Distrito Federal |
title |
Land Use/Land Cover (LULC) classification based on SAR/Sentinel 1 image in Federal District, Brazil |
spellingShingle |
Land Use/Land Cover (LULC) classification based on SAR/Sentinel 1 image in Federal District, Brazil Lima Ramos Barbosa, Felipe SAR Sentinel 1 Coerência interferométrica Ambiente urbano Objetos urbanos SAR Sentinel 1 Interferometric coherence Urban environment Urban objects |
title_short |
Land Use/Land Cover (LULC) classification based on SAR/Sentinel 1 image in Federal District, Brazil |
title_full |
Land Use/Land Cover (LULC) classification based on SAR/Sentinel 1 image in Federal District, Brazil |
title_fullStr |
Land Use/Land Cover (LULC) classification based on SAR/Sentinel 1 image in Federal District, Brazil |
title_full_unstemmed |
Land Use/Land Cover (LULC) classification based on SAR/Sentinel 1 image in Federal District, Brazil |
title_sort |
Land Use/Land Cover (LULC) classification based on SAR/Sentinel 1 image in Federal District, Brazil |
author |
Lima Ramos Barbosa, Felipe |
author_facet |
Lima Ramos Barbosa, Felipe Fontes Guimarães, Renato Abílio de Carvalho Júnior, Osmar Arnaldo Trancoso Gomes, Roberto |
author_role |
author |
author2 |
Fontes Guimarães, Renato Abílio de Carvalho Júnior, Osmar Arnaldo Trancoso Gomes, Roberto |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Lima Ramos Barbosa, Felipe Fontes Guimarães, Renato Abílio de Carvalho Júnior, Osmar Arnaldo Trancoso Gomes, Roberto |
dc.subject.por.fl_str_mv |
SAR Sentinel 1 Coerência interferométrica Ambiente urbano Objetos urbanos SAR Sentinel 1 Interferometric coherence Urban environment Urban objects |
topic |
SAR Sentinel 1 Coerência interferométrica Ambiente urbano Objetos urbanos SAR Sentinel 1 Interferometric coherence Urban environment Urban objects |
description |
The social and environmental challenges are directly related to theexisting population concentration in urban environments, whichcontribute to more than 75% of the world’s Gross Domestic Product(GDP). Thus, it is essential to detect the dynamics of Land Use andLand Cover (LULC) aiming to support public policies elaboration andimplementation. SAR systems, especially the interferometrytechniques, have been shown great results in face of this challenge,since they do not have direct influence from the atmosphere. Limitedstudies were conducted using interferometric coherence from the Sentinel-1 satellite in an urban environment. In this sense, theobjective of this study was to classify the LULC of part of the FederalDistrict, Brazil based on different dimensions considering the measuresof intensity and interferometric coherence for the year 2018. The resultsmeasured from the Kappa and F1 metrics indicate that the insertion ofa time series of interferometric coherencies improves the performance ofthe classification, from 0.50 to 0.75 (Kappa) and from 0.54to 0.79 (F1), afact that was evident in the improved performance of the thematicclasses related to vegetation cover. Furthermore, it is also found thatthe identification of urban objects is best represented by the use of onlythe intensities (VV and VH) in the classification process. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-02-02 |
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.ufu.br/index.php/sociedadenatureza/article/view/55954 10.14393/SN-v33-2021-55954 |
url |
https://seer.ufu.br/index.php/sociedadenatureza/article/view/55954 |
identifier_str_mv |
10.14393/SN-v33-2021-55954 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/sociedadenatureza/article/view/55954/30935 https://seer.ufu.br/index.php/sociedadenatureza/article/view/55954/30936 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
dc.source.none.fl_str_mv |
Sociedade & Natureza; Vol. 33 (2021) Sociedade & Natureza; v. 33 (2021) 1982-4513 0103-1570 reponame:Sociedade & natureza (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Sociedade & natureza (Online) |
collection |
Sociedade & natureza (Online) |
repository.name.fl_str_mv |
Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br |
_version_ |
1799943981562331136 |