Multispectral Remote Sensing for mapping the areas affected by the techno-industrial disaster of the oil spill on Brazilian beaches

Detalhes bibliográficos
Autor(a) principal: FREIRE,NEISON C.F.
Data de Publicação: 2022
Outros Autores: CAMPOS,LUIS HENRIQUE R., QUEIROZ,VINICIUS, SOUZA,LUCAS B.V., SILVA,MAYARA C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000401102
Resumo: Abstract Since the emergence in August 2019 of portions of varying sizes of crude oil on several beaches in the Northeast region of Brazil, various studies have been conducted to identify the source of the disaster and estimate the damage caused. This article aims to contribute to this scientific effort in order to describe an extensive mapping that used Remote Sensing data of the impacted areas and its correlation with socioeconomic typology of the municipalities directly affected. The research was based on the list of 201 oiled beaches published on October 28th, 2019 in Technical Note from the Brazilian Institute of the Environment and Renewable Natural Resources (IBAMA, 2019). Applying the Supervised Classification to images from the MSI/Sentinel-2 sensor, a methodology for beach cartography was defined, then geographical sections were subsequently classified and quantified by thematic classes. This thematic mapping fostered to obtain a proxy of the possible impacted areas up to that date, generating an “Atlas of Beaches Affected by Oil” with 402 maps of the affected beaches, which is available on the Joaquim Nabuco Foundation website. This mapping is unprecedented and it becomes important for the environmental monitoring of these areas. This article was prepared from a request for the special edition of the AABC journal.
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spelling Multispectral Remote Sensing for mapping the areas affected by the techno-industrial disaster of the oil spill on Brazilian beachesdisasteroil spillRemote Sensingsocial vulnerabilityBrazilAbstract Since the emergence in August 2019 of portions of varying sizes of crude oil on several beaches in the Northeast region of Brazil, various studies have been conducted to identify the source of the disaster and estimate the damage caused. This article aims to contribute to this scientific effort in order to describe an extensive mapping that used Remote Sensing data of the impacted areas and its correlation with socioeconomic typology of the municipalities directly affected. The research was based on the list of 201 oiled beaches published on October 28th, 2019 in Technical Note from the Brazilian Institute of the Environment and Renewable Natural Resources (IBAMA, 2019). Applying the Supervised Classification to images from the MSI/Sentinel-2 sensor, a methodology for beach cartography was defined, then geographical sections were subsequently classified and quantified by thematic classes. This thematic mapping fostered to obtain a proxy of the possible impacted areas up to that date, generating an “Atlas of Beaches Affected by Oil” with 402 maps of the affected beaches, which is available on the Joaquim Nabuco Foundation website. This mapping is unprecedented and it becomes important for the environmental monitoring of these areas. This article was prepared from a request for the special edition of the AABC journal.Academia Brasileira de Ciências2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000401102Anais da Academia Brasileira de Ciências v.94 suppl.2 2022reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202220210308info:eu-repo/semantics/openAccessFREIRE,NEISON C.F.CAMPOS,LUIS HENRIQUE R.QUEIROZ,VINICIUSSOUZA,LUCAS B.V.SILVA,MAYARA C.eng2022-05-20T00:00:00Zoai:scielo:S0001-37652022000401102Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2022-05-20T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Multispectral Remote Sensing for mapping the areas affected by the techno-industrial disaster of the oil spill on Brazilian beaches
title Multispectral Remote Sensing for mapping the areas affected by the techno-industrial disaster of the oil spill on Brazilian beaches
spellingShingle Multispectral Remote Sensing for mapping the areas affected by the techno-industrial disaster of the oil spill on Brazilian beaches
FREIRE,NEISON C.F.
disaster
oil spill
Remote Sensing
social vulnerability
Brazil
title_short Multispectral Remote Sensing for mapping the areas affected by the techno-industrial disaster of the oil spill on Brazilian beaches
title_full Multispectral Remote Sensing for mapping the areas affected by the techno-industrial disaster of the oil spill on Brazilian beaches
title_fullStr Multispectral Remote Sensing for mapping the areas affected by the techno-industrial disaster of the oil spill on Brazilian beaches
title_full_unstemmed Multispectral Remote Sensing for mapping the areas affected by the techno-industrial disaster of the oil spill on Brazilian beaches
title_sort Multispectral Remote Sensing for mapping the areas affected by the techno-industrial disaster of the oil spill on Brazilian beaches
author FREIRE,NEISON C.F.
author_facet FREIRE,NEISON C.F.
CAMPOS,LUIS HENRIQUE R.
QUEIROZ,VINICIUS
SOUZA,LUCAS B.V.
SILVA,MAYARA C.
author_role author
author2 CAMPOS,LUIS HENRIQUE R.
QUEIROZ,VINICIUS
SOUZA,LUCAS B.V.
SILVA,MAYARA C.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv FREIRE,NEISON C.F.
CAMPOS,LUIS HENRIQUE R.
QUEIROZ,VINICIUS
SOUZA,LUCAS B.V.
SILVA,MAYARA C.
dc.subject.por.fl_str_mv disaster
oil spill
Remote Sensing
social vulnerability
Brazil
topic disaster
oil spill
Remote Sensing
social vulnerability
Brazil
description Abstract Since the emergence in August 2019 of portions of varying sizes of crude oil on several beaches in the Northeast region of Brazil, various studies have been conducted to identify the source of the disaster and estimate the damage caused. This article aims to contribute to this scientific effort in order to describe an extensive mapping that used Remote Sensing data of the impacted areas and its correlation with socioeconomic typology of the municipalities directly affected. The research was based on the list of 201 oiled beaches published on October 28th, 2019 in Technical Note from the Brazilian Institute of the Environment and Renewable Natural Resources (IBAMA, 2019). Applying the Supervised Classification to images from the MSI/Sentinel-2 sensor, a methodology for beach cartography was defined, then geographical sections were subsequently classified and quantified by thematic classes. This thematic mapping fostered to obtain a proxy of the possible impacted areas up to that date, generating an “Atlas of Beaches Affected by Oil” with 402 maps of the affected beaches, which is available on the Joaquim Nabuco Foundation website. This mapping is unprecedented and it becomes important for the environmental monitoring of these areas. This article was prepared from a request for the special edition of the AABC journal.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/0001-3765202220210308
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dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.94 suppl.2 2022
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
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