REMOTE SENSING OF PARTICULATE MATTER AND AEROSOLS: SCIENTOMETRIC ANALYSIS

Detalhes bibliográficos
Autor(a) principal: Olivatto, Tatiane Ferreira
Data de Publicação: 2023
Outros Autores: Costa, Regiane Luiza da, Bourscheidt, Vandoir
Tipo de documento: Artigo
Idioma: por
Título da fonte: Caminhos de Geografia
Texto Completo: https://seer.ufu.br/index.php/caminhosdegeografia/article/view/68624
Resumo: Air pollution by particulate matter (PM) has been a global concern for years, involving a comprehensive field of scientific research and which, more recently, has come to include approaches using remote sensing. Seeking to obtain an overview of this field and identify its main characteristics and trends, this work made a bibliometric analysis on this theme, considering the global and national context, for the latter, a systematic review was carried out. From the manipulation of Scopus data, 1,043 publications were identified between 2001 and 2021, being the focus of the analyses conducted in this work only the 732 article-type documents. The results showed that there are few discussions on the remote sensing of PM and aerosols. The main methodologies described were (1) the production of primary data through techniques such as Aerosol Optical Depth (AOD), (2) the use of sensors (e.g. MODIS, TERRA, LIDAR) and (3) the recovery of secondary data (e.g. CETESB and SISAM). In Brazil, only nine documents address this theme, highlighting their multidisciplinary character: human health, learning, environmental impacts, and air quality monitoring. Although there has been an increase in scientific production in this theme, further studies are still needed to deepen the concepts and applications of remote sensing in this context.
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spelling REMOTE SENSING OF PARTICULATE MATTER AND AEROSOLS: SCIENTOMETRIC ANALYSISSENSORIAMENTO REMOTO DE MATERIAL PARTICULADO E AEROSSÓIS: ANÁLISE CIENCIOMÉTRICAPoluição atmosféricaMODISLiDARBibliometriaVOSviewerAir pollutionMODISLiDARBibliometricVOSviewerAir pollution by particulate matter (PM) has been a global concern for years, involving a comprehensive field of scientific research and which, more recently, has come to include approaches using remote sensing. Seeking to obtain an overview of this field and identify its main characteristics and trends, this work made a bibliometric analysis on this theme, considering the global and national context, for the latter, a systematic review was carried out. From the manipulation of Scopus data, 1,043 publications were identified between 2001 and 2021, being the focus of the analyses conducted in this work only the 732 article-type documents. The results showed that there are few discussions on the remote sensing of PM and aerosols. The main methodologies described were (1) the production of primary data through techniques such as Aerosol Optical Depth (AOD), (2) the use of sensors (e.g. MODIS, TERRA, LIDAR) and (3) the recovery of secondary data (e.g. CETESB and SISAM). In Brazil, only nine documents address this theme, highlighting their multidisciplinary character: human health, learning, environmental impacts, and air quality monitoring. Although there has been an increase in scientific production in this theme, further studies are still needed to deepen the concepts and applications of remote sensing in this context.A poluição atmosférica por material particulado (MP) tem sido uma preocupação global há anos, envolvendo um campo de pesquisa científica abrangente e que, mais recentemente, passou a incluir abordagens utilizando sensoriamento remoto. Buscando-se obter uma visão geral deste campo e identificar suas principais características e tendências, este trabalho conduziu uma análise bibliométrica acerca desta temática, considerando o contexto global e nacional, realizando-se, para este último, uma revisão sistemática. A partir da manipulação de dados da Scopus, 1.043 publicações foram identificadas entre 2001 e 2021, sendo o foco das análises conduzidas neste trabalho apenas os 732 documentos do tipo artigo. Os resultados mostraram que são poucas as discussões sobre o sensoriamento remoto de MP e aerossóis. As principais metodologias descritas foram (1) a produção de dados primários por meio de técnicas como Profundidade Óptica de Aerossóis (AOD), (2) a utilização de sensores (como MODIS, TERRA, LIDAR) e (3) a recuperação de dados secundários (como CETESB e SISAM). No Brasil, apenas nove documentos abordam esta temática, destacando-se o caráter multidisciplinar deles: saúde humana, aprendizagem, impactos ambientais e monitoramento da qualidade do ar. Embora tenha ocorrido aumento na produção cientifica nessa temática, ainda são necessários novos estudos para aprofundar os conceitos e aplicações do sensoriamento remoto neste âmbito.EDUFU - Editora da Universidade Federal de Uberlândia2023-12-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos paresapplication/pdfhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/6862410.14393/RCG249668624Caminhos de Geografia; Vol. 24 No. 96 (2023): Dezembro; 140–154Caminhos de Geografia; Vol. 24 Núm. 96 (2023): Dezembro; 140–154Caminhos de Geografia; v. 24 n. 96 (2023): Dezembro; 140–1541678-6343reponame:Caminhos de Geografiainstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/68624/37248Copyright (c) 2023 Tatiane Ferreira Olivatto, Regiane Luiza da Costa, Vandoir Bourscheidthttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessOlivatto, Tatiane FerreiraCosta, Regiane Luiza daBourscheidt, Vandoir2023-12-05T15:01:34Zoai:ojs.www.seer.ufu.br:article/68624Revistahttps://seer.ufu.br/index.php/caminhosdegeografia/indexPUBhttp://www.seer.ufu.br/index.php/caminhosdegeografia/oaiflaviasantosgeo@gmail.com1678-63431678-6343opendoar:2023-12-05T15:01:34Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv REMOTE SENSING OF PARTICULATE MATTER AND AEROSOLS: SCIENTOMETRIC ANALYSIS
SENSORIAMENTO REMOTO DE MATERIAL PARTICULADO E AEROSSÓIS: ANÁLISE CIENCIOMÉTRICA
title REMOTE SENSING OF PARTICULATE MATTER AND AEROSOLS: SCIENTOMETRIC ANALYSIS
spellingShingle REMOTE SENSING OF PARTICULATE MATTER AND AEROSOLS: SCIENTOMETRIC ANALYSIS
Olivatto, Tatiane Ferreira
Poluição atmosférica
MODIS
LiDAR
Bibliometria
VOSviewer
Air pollution
MODIS
LiDAR
Bibliometric
VOSviewer
title_short REMOTE SENSING OF PARTICULATE MATTER AND AEROSOLS: SCIENTOMETRIC ANALYSIS
title_full REMOTE SENSING OF PARTICULATE MATTER AND AEROSOLS: SCIENTOMETRIC ANALYSIS
title_fullStr REMOTE SENSING OF PARTICULATE MATTER AND AEROSOLS: SCIENTOMETRIC ANALYSIS
title_full_unstemmed REMOTE SENSING OF PARTICULATE MATTER AND AEROSOLS: SCIENTOMETRIC ANALYSIS
title_sort REMOTE SENSING OF PARTICULATE MATTER AND AEROSOLS: SCIENTOMETRIC ANALYSIS
author Olivatto, Tatiane Ferreira
author_facet Olivatto, Tatiane Ferreira
Costa, Regiane Luiza da
Bourscheidt, Vandoir
author_role author
author2 Costa, Regiane Luiza da
Bourscheidt, Vandoir
author2_role author
author
dc.contributor.author.fl_str_mv Olivatto, Tatiane Ferreira
Costa, Regiane Luiza da
Bourscheidt, Vandoir
dc.subject.por.fl_str_mv Poluição atmosférica
MODIS
LiDAR
Bibliometria
VOSviewer
Air pollution
MODIS
LiDAR
Bibliometric
VOSviewer
topic Poluição atmosférica
MODIS
LiDAR
Bibliometria
VOSviewer
Air pollution
MODIS
LiDAR
Bibliometric
VOSviewer
description Air pollution by particulate matter (PM) has been a global concern for years, involving a comprehensive field of scientific research and which, more recently, has come to include approaches using remote sensing. Seeking to obtain an overview of this field and identify its main characteristics and trends, this work made a bibliometric analysis on this theme, considering the global and national context, for the latter, a systematic review was carried out. From the manipulation of Scopus data, 1,043 publications were identified between 2001 and 2021, being the focus of the analyses conducted in this work only the 732 article-type documents. The results showed that there are few discussions on the remote sensing of PM and aerosols. The main methodologies described were (1) the production of primary data through techniques such as Aerosol Optical Depth (AOD), (2) the use of sensors (e.g. MODIS, TERRA, LIDAR) and (3) the recovery of secondary data (e.g. CETESB and SISAM). In Brazil, only nine documents address this theme, highlighting their multidisciplinary character: human health, learning, environmental impacts, and air quality monitoring. Although there has been an increase in scientific production in this theme, further studies are still needed to deepen the concepts and applications of remote sensing in this context.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-05
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado pelos pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/68624
10.14393/RCG249668624
url https://seer.ufu.br/index.php/caminhosdegeografia/article/view/68624
identifier_str_mv 10.14393/RCG249668624
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/68624/37248
dc.rights.driver.fl_str_mv Copyright (c) 2023 Tatiane Ferreira Olivatto, Regiane Luiza da Costa, Vandoir Bourscheidt
http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Tatiane Ferreira Olivatto, Regiane Luiza da Costa, Vandoir Bourscheidt
http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Caminhos de Geografia; Vol. 24 No. 96 (2023): Dezembro; 140–154
Caminhos de Geografia; Vol. 24 Núm. 96 (2023): Dezembro; 140–154
Caminhos de Geografia; v. 24 n. 96 (2023): Dezembro; 140–154
1678-6343
reponame:Caminhos de Geografia
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Caminhos de Geografia
collection Caminhos de Geografia
repository.name.fl_str_mv Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv flaviasantosgeo@gmail.com
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