Classification of Land Use and Occupancy with Emphasis on Urban Areas
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anuário do Instituto de Geociências (Online) |
Texto Completo: | https://revistas.ufrj.br/index.php/aigeo/article/view/31221 |
Resumo: | Urbanization in Brazil occurred in a disorganized way and without observing criteria that could ensure the sustainability of this process, resulting in high population concentrations in large urban centers. In this way, it is recognized the need for an adequate planning that contemplates the economic and social interests and respects the environmental demands. Thus, the present work aims to map the land use and occupancy, with an emphasis in an urban area, having as a case study the municipality of Novo Hamburgo, RS. The methodology is established in two levels of detailing of classes, in which supervised classification and manual vectorization were used, seeking a more accurate specification of the urban areas. Validation was established through two databases: Google Earth and Remotely Piloted Aircraft System (RPAS), using the confusion matrix and the Kappa index. The results show the efficiency of the hybrid method for high-resolution images, besides highlighting the existing anthropogenic differences in urban areas. In relation to the use of different databases for validation, close values are also perceived between the two processes, with a Kappa index of 0.928 for data obtained from Google Earth and 0.943 for the RPAS. |
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Anuário do Instituto de Geociências (Online) |
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Classification of Land Use and Occupancy with Emphasis on Urban AreasClassification of land use and occupancy; Validation; Photointerpretation; Urban planningUrbanization in Brazil occurred in a disorganized way and without observing criteria that could ensure the sustainability of this process, resulting in high population concentrations in large urban centers. In this way, it is recognized the need for an adequate planning that contemplates the economic and social interests and respects the environmental demands. Thus, the present work aims to map the land use and occupancy, with an emphasis in an urban area, having as a case study the municipality of Novo Hamburgo, RS. The methodology is established in two levels of detailing of classes, in which supervised classification and manual vectorization were used, seeking a more accurate specification of the urban areas. Validation was established through two databases: Google Earth and Remotely Piloted Aircraft System (RPAS), using the confusion matrix and the Kappa index. The results show the efficiency of the hybrid method for high-resolution images, besides highlighting the existing anthropogenic differences in urban areas. In relation to the use of different databases for validation, close values are also perceived between the two processes, with a Kappa index of 0.928 for data obtained from Google Earth and 0.943 for the RPAS.Universidade Federal do Rio de JaneiroRiegel, Roberta PlanggAlves, Darlan DanielBirlem, Leonardo EspindolaRoque, Douglas CristianOliveira, Guilherme Garcia deHaetinger, ClausOsório, Daniela Montanari MigliavaccaRodrigues, Marco Antônio SiqueiraQuevedo, Daniela Muller de2019-12-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/3122110.11137/2019_3_377_386Anuário do Instituto de Geociências; Vol 42, No 3 (2019); 377-386Anuário do Instituto de Geociências; Vol 42, No 3 (2019); 377-3861982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJenghttps://revistas.ufrj.br/index.php/aigeo/article/view/31221/17691Copyright (c) 2019 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess2020-07-10T01:39:31Zoai:www.revistas.ufrj.br:article/31221Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2020-07-10T01:39:31Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
Classification of Land Use and Occupancy with Emphasis on Urban Areas |
title |
Classification of Land Use and Occupancy with Emphasis on Urban Areas |
spellingShingle |
Classification of Land Use and Occupancy with Emphasis on Urban Areas Riegel, Roberta Plangg Classification of land use and occupancy; Validation; Photointerpretation; Urban planning |
title_short |
Classification of Land Use and Occupancy with Emphasis on Urban Areas |
title_full |
Classification of Land Use and Occupancy with Emphasis on Urban Areas |
title_fullStr |
Classification of Land Use and Occupancy with Emphasis on Urban Areas |
title_full_unstemmed |
Classification of Land Use and Occupancy with Emphasis on Urban Areas |
title_sort |
Classification of Land Use and Occupancy with Emphasis on Urban Areas |
author |
Riegel, Roberta Plangg |
author_facet |
Riegel, Roberta Plangg Alves, Darlan Daniel Birlem, Leonardo Espindola Roque, Douglas Cristian Oliveira, Guilherme Garcia de Haetinger, Claus Osório, Daniela Montanari Migliavacca Rodrigues, Marco Antônio Siqueira Quevedo, Daniela Muller de |
author_role |
author |
author2 |
Alves, Darlan Daniel Birlem, Leonardo Espindola Roque, Douglas Cristian Oliveira, Guilherme Garcia de Haetinger, Claus Osório, Daniela Montanari Migliavacca Rodrigues, Marco Antônio Siqueira Quevedo, Daniela Muller de |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Riegel, Roberta Plangg Alves, Darlan Daniel Birlem, Leonardo Espindola Roque, Douglas Cristian Oliveira, Guilherme Garcia de Haetinger, Claus Osório, Daniela Montanari Migliavacca Rodrigues, Marco Antônio Siqueira Quevedo, Daniela Muller de |
dc.subject.none.fl_str_mv |
|
dc.subject.por.fl_str_mv |
Classification of land use and occupancy; Validation; Photointerpretation; Urban planning |
topic |
Classification of land use and occupancy; Validation; Photointerpretation; Urban planning |
description |
Urbanization in Brazil occurred in a disorganized way and without observing criteria that could ensure the sustainability of this process, resulting in high population concentrations in large urban centers. In this way, it is recognized the need for an adequate planning that contemplates the economic and social interests and respects the environmental demands. Thus, the present work aims to map the land use and occupancy, with an emphasis in an urban area, having as a case study the municipality of Novo Hamburgo, RS. The methodology is established in two levels of detailing of classes, in which supervised classification and manual vectorization were used, seeking a more accurate specification of the urban areas. Validation was established through two databases: Google Earth and Remotely Piloted Aircraft System (RPAS), using the confusion matrix and the Kappa index. The results show the efficiency of the hybrid method for high-resolution images, besides highlighting the existing anthropogenic differences in urban areas. In relation to the use of different databases for validation, close values are also perceived between the two processes, with a Kappa index of 0.928 for data obtained from Google Earth and 0.943 for the RPAS. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-12-21 |
dc.type.none.fl_str_mv |
|
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://revistas.ufrj.br/index.php/aigeo/article/view/31221 10.11137/2019_3_377_386 |
url |
https://revistas.ufrj.br/index.php/aigeo/article/view/31221 |
identifier_str_mv |
10.11137/2019_3_377_386 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.ufrj.br/index.php/aigeo/article/view/31221/17691 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Anuário do Instituto de Geociências http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Anuário do Instituto de Geociências http://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 do Rio de Janeiro |
publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
dc.source.none.fl_str_mv |
Anuário do Instituto de Geociências; Vol 42, No 3 (2019); 377-386 Anuário do Instituto de Geociências; Vol 42, No 3 (2019); 377-386 1982-3908 0101-9759 reponame:Anuário do Instituto de Geociências (Online) instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Anuário do Instituto de Geociências (Online) |
collection |
Anuário do Instituto de Geociências (Online) |
repository.name.fl_str_mv |
Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
anuario@igeo.ufrj.br|| |
_version_ |
1797053545827008512 |