REMOTE SENSING OF PARTICULATE MATTER AND AEROSOLS: SCIENTOMETRIC ANALYSIS
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
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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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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