Assessing the effectiveness of remotely piloted aircraft to map exposed soil in urban mangroves
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Sociedade & natureza (Online) |
Texto Completo: | https://seer.ufu.br/index.php/sociedadenatureza/article/view/59586 |
Resumo: | Although mangroves are ecologically important coastal ecosystems and laws are in place to ensure their protection, anthropogenic activities continue to cause the degradation and/or suppression of mangrove vegetation. Traditional methods to measure and monitor this process, including the use of medium spatial resolution orbital images, are unsuitable for fine-scale environmental degradation and recovery analyses, including the measurement of degraded areas in and around mangroves. Thus, this study aims to analyze the effectiveness of using images from remotely piloted aircraft (RPA) in the mapping of exposed soil areas in mangroves. Imaging with RPA was performed in 22 urban mangroves in Paranaguá, Paraná State, Brazil. Orthomosaics were generated from the collected data and submitted to supervised classification. We then calculated global accuracy and Kappa indices and commission and omission errors. Based on data from the RPA images, the identification of areas of exposed soil on the margins and interior of mangroves was effective since the global accuracy index was higher than 96% for all classified orthomosaics and the Kappa index was above 0.95, indicating excellent classification. The mapping shows different concentrations of exposed soil areas in the analyzed mangroves, enabling us to identify three regional patterns of vegetation degradation. The results can inform municipal planning, including revisions to the Integrated Development Master Plan, Basic Sanitation Plan, and Land Regularization Plan. This information may also be used in studies on the recovery and monitoring of mangrove vegetation. |
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Assessing the effectiveness of remotely piloted aircraft to map exposed soil in urban mangrovesAnálise da eficiência do uso de aeronaves remotamente pilotadas no mapeamento de solo exposto em manguezais urbanosSensoriamento remotoEcossistemas costeirosDegradação ambientalImagens suborbitaisDroneAlthough mangroves are ecologically important coastal ecosystems and laws are in place to ensure their protection, anthropogenic activities continue to cause the degradation and/or suppression of mangrove vegetation. Traditional methods to measure and monitor this process, including the use of medium spatial resolution orbital images, are unsuitable for fine-scale environmental degradation and recovery analyses, including the measurement of degraded areas in and around mangroves. Thus, this study aims to analyze the effectiveness of using images from remotely piloted aircraft (RPA) in the mapping of exposed soil areas in mangroves. Imaging with RPA was performed in 22 urban mangroves in Paranaguá, Paraná State, Brazil. Orthomosaics were generated from the collected data and submitted to supervised classification. We then calculated global accuracy and Kappa indices and commission and omission errors. Based on data from the RPA images, the identification of areas of exposed soil on the margins and interior of mangroves was effective since the global accuracy index was higher than 96% for all classified orthomosaics and the Kappa index was above 0.95, indicating excellent classification. The mapping shows different concentrations of exposed soil areas in the analyzed mangroves, enabling us to identify three regional patterns of vegetation degradation. The results can inform municipal planning, including revisions to the Integrated Development Master Plan, Basic Sanitation Plan, and Land Regularization Plan. This information may also be used in studies on the recovery and monitoring of mangrove vegetation.Manguezais são ecossistemas costeiros de grande relevância ecológica. Mesmo com legislações que assegurem sua proteção, diversas atividades antrópicas resultam em degradação e/ou supressão da sua vegetação. Para mensurar e monitorar tal processo, metodologias clássicas são aplicadas utilizando imagens orbitais de média resolução espacial, sendo que os resultados obtidos não são adequados para estudos de degradação e recuperação ambiental em escala de detalhe, como a mensuração de áreas de solo exposto no interior e entorno dos manguezais. O presente estudo tem por objetivo analisar a eficiência de imageamento por aeronaves remotamente pilotadas (RPA) no mapeamento de áreas de solo exposto em manguezais. Foram realizados imageamento com RPA em 22 manguezais urbanos de Paranaguá/Paraná - litoral sul do Brasil. Ortomosaicos foram gerados a partir dos dados coletados e estes foram submetidos à classificação supervisionada. Em seguida, calcularam-se índices de exatidão global, índice Kappa e erros de comissão e omissão. A identificação de áreas de solo exposto nas franjas e no interior dos bosques de manguezal, a partir de dados coletados por RPA, se mostrou eficiente visto que o índice de exatidão global foi superior a 96% em todos os ortomosaicos classificados. O índice Kappa esteve acima de 0,95 em todos os ortomosaicos, indicando uma classificação excelente. Os mapeamentos mostram contraste entre a concentração de áreas de solo exposto nos manguezais analisados, permitindo uma regionalização do padrão de degradação da vegetação em três grupos. Os resultados podem auxiliar documentos de planejamento municipal como a revisão do Plano Diretor de Desenvolvimento Integrado, Plano de Saneamento Básico e o Plano de Regularização Fundiária. Estas informações também poderão dar subsídios para estudos de recuperação da vegetação dos manguezais e fiscalização.Universidade Federal de Uberlândia2021-07-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/5958610.14393/SN-v33-2021-59586Sociedade & Natureza; Vol. 33 (2021)Sociedade & Natureza; v. 33 (2021)1982-45130103-1570reponame:Sociedade & natureza (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/59586/32223https://seer.ufu.br/index.php/sociedadenatureza/article/view/59586/32224Copyright (c) 2021 Otacílio Lopes de Souza da Paz, Sidney Vincent de Paul Vikou, Daiane Maria Pilatti, Eduardo Vedor de Paula, Marianne de Oliveirainfo:eu-repo/semantics/openAccessPaz, Otacílio Lopes de Souza da Vikou, Sidney Vincent de Paul Pilatti, Daiane Maria Paula, Eduardo Vedor de Oliveira, Marianne de2021-07-28T18:28:11Zoai:ojs.www.seer.ufu.br:article/59586Revistahttp://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 |
Assessing the effectiveness of remotely piloted aircraft to map exposed soil in urban mangroves Análise da eficiência do uso de aeronaves remotamente pilotadas no mapeamento de solo exposto em manguezais urbanos |
title |
Assessing the effectiveness of remotely piloted aircraft to map exposed soil in urban mangroves |
spellingShingle |
Assessing the effectiveness of remotely piloted aircraft to map exposed soil in urban mangroves Paz, Otacílio Lopes de Souza da Sensoriamento remoto Ecossistemas costeiros Degradação ambiental Imagens suborbitais Drone |
title_short |
Assessing the effectiveness of remotely piloted aircraft to map exposed soil in urban mangroves |
title_full |
Assessing the effectiveness of remotely piloted aircraft to map exposed soil in urban mangroves |
title_fullStr |
Assessing the effectiveness of remotely piloted aircraft to map exposed soil in urban mangroves |
title_full_unstemmed |
Assessing the effectiveness of remotely piloted aircraft to map exposed soil in urban mangroves |
title_sort |
Assessing the effectiveness of remotely piloted aircraft to map exposed soil in urban mangroves |
author |
Paz, Otacílio Lopes de Souza da |
author_facet |
Paz, Otacílio Lopes de Souza da Vikou, Sidney Vincent de Paul Pilatti, Daiane Maria Paula, Eduardo Vedor de Oliveira, Marianne de |
author_role |
author |
author2 |
Vikou, Sidney Vincent de Paul Pilatti, Daiane Maria Paula, Eduardo Vedor de Oliveira, Marianne de |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Paz, Otacílio Lopes de Souza da Vikou, Sidney Vincent de Paul Pilatti, Daiane Maria Paula, Eduardo Vedor de Oliveira, Marianne de |
dc.subject.por.fl_str_mv |
Sensoriamento remoto Ecossistemas costeiros Degradação ambiental Imagens suborbitais Drone |
topic |
Sensoriamento remoto Ecossistemas costeiros Degradação ambiental Imagens suborbitais Drone |
description |
Although mangroves are ecologically important coastal ecosystems and laws are in place to ensure their protection, anthropogenic activities continue to cause the degradation and/or suppression of mangrove vegetation. Traditional methods to measure and monitor this process, including the use of medium spatial resolution orbital images, are unsuitable for fine-scale environmental degradation and recovery analyses, including the measurement of degraded areas in and around mangroves. Thus, this study aims to analyze the effectiveness of using images from remotely piloted aircraft (RPA) in the mapping of exposed soil areas in mangroves. Imaging with RPA was performed in 22 urban mangroves in Paranaguá, Paraná State, Brazil. Orthomosaics were generated from the collected data and submitted to supervised classification. We then calculated global accuracy and Kappa indices and commission and omission errors. Based on data from the RPA images, the identification of areas of exposed soil on the margins and interior of mangroves was effective since the global accuracy index was higher than 96% for all classified orthomosaics and the Kappa index was above 0.95, indicating excellent classification. The mapping shows different concentrations of exposed soil areas in the analyzed mangroves, enabling us to identify three regional patterns of vegetation degradation. The results can inform municipal planning, including revisions to the Integrated Development Master Plan, Basic Sanitation Plan, and Land Regularization Plan. This information may also be used in studies on the recovery and monitoring of mangrove vegetation. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-09 |
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/59586 10.14393/SN-v33-2021-59586 |
url |
https://seer.ufu.br/index.php/sociedadenatureza/article/view/59586 |
identifier_str_mv |
10.14393/SN-v33-2021-59586 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/sociedadenatureza/article/view/59586/32223 https://seer.ufu.br/index.php/sociedadenatureza/article/view/59586/32224 |
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 |
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1799943981629440000 |