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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPEW34M/47QA22P
Repositorysid.inpe.br/sibgrapi/2022/10.13.14.05
Last Update2022:10.13.14.05.05 (UTC) jordansalas@id.uff.br
Metadata Repositorysid.inpe.br/sibgrapi/2022/10.13.14.05.05
Metadata Last Update2023:05.23.04.20.43 (UTC) administrator
Citation KeyCunoConcSilvGonç:2022:ToMeAi
TitleTowards Measuring Air Quality Index with Country and States Granularity from Sentinel-5 Data
FormatOn-line
Year2022
Access Date2024, July 27
Number of Files1
Size2494 KiB
2. Context
Author1 Cuno, Jordan Salas
2 Conci, Aura
3 Silva-Júnior, Andouglas G. da
4 Gonçalves, Luiz M. G.
Affiliation1 Computer Institute, Universidade Federal Fluminense
2 Computer Institute, Universidade Federal Fluminense
3 Grad. Prog. in Elec. and Comp. Eng. Instituto Federal do rio Grande do Norte
4 Grad. Prog. in Elec. and Comp. Eng. Universidade Federal do Rio Grande do Norte
e-Mail Addressjordansalas@id.uff.br
Conference NameConference on Graphics, Patterns and Images, 35 (SIBGRAPI)
Conference LocationNatal, RN
Date24-27 Oct. 2022
Book TitleProceedings
Tertiary TypeWorkshop on Patterns and Data for Pandemic Dynamics Analysis
History (UTC)2022-10-13 14:05:05 :: jordansalas@id.uff.br -> administrator ::
2023-05-23 04:20:43 :: administrator -> :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsAir Quality Sensor
Sentinel-5 Data
Pandemic Dynamics
Data-Driven Modeling
AbstractOne of the topics that have been recently discussed with greater emphasis is air quality, not only because it is a topic directly related to climate change and the greenhouse effect, but also because it has a strong link in the transmission of respiratory diseases. Low-quality indices of air can worsen the symptoms of patients with the COVID-19 pandemic, being one of the most recent examples. Being able to identify and monitor air quality in different geographic regions of Brazil will provide information on possible measures to be taken by authorities and citizens in general. Air quality indices are currently monitored by some entities using technology of sensors strategically installed at fixed points in cities. Another type of technology available is the high-resolution spectrometer system installed on satellites that constantly monitor the surface of the planet. Sentinel-5 is one of these satellites that generates a large amount of data for climate monitoring and that is used in this research. Basically, in this work, we propose a system that takes data from the Sentinel-5 in order to provide a measure of air quality to be used in the prediction of the pandemic dynamics.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2022 > Towards Measuring Air...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/47QA22P
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/47QA22P
Languageen
Target FileTowards Measuring Air Quality Index.pdf
User Groupjordansalas@id.uff.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/495MHJ8
Citing Item Listsid.inpe.br/sibgrapi/2023/05.19.12.10 13
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition editor electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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