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Remote sensing of water transparency variability in the Ibitinga reservoir during COVID-19 lockdown

dc.contributor.authorContador, Thaís Miike [UNESP]
dc.contributor.authorAlcântara, Enner [UNESP]
dc.contributor.authorRodrigues, Thanan
dc.contributor.authorPark, Edward
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionScience and Technology of Pará State
dc.contributor.institutionNanyang Technological University
dc.date.accessioned2021-06-25T10:28:20Z
dc.date.available2021-06-25T10:28:20Z
dc.date.issued2021-04-01
dc.description.abstractAs of October 8th, 2020, the number of confirmed cases and deaths in Brazil due to COVID-19 hit 5,002,357 and 148,304, respectively, making the country one of the most affected by the pandemic. The State of São Paulo (SSP) hosts the largest number of confirmed cases in Brazil, with over 1,016,755 cases to date. This study was carried out to investigate how the social distancing measures could have influenced the Ibitinga reservoir's water transparency in São Paulo State, Brazil. We hypothesize that although the city's drainage is the major reservoir's input, as opposed to what has been reported elsewhere, the effect of extensive lockdown in the city of São Paulo due to COVID-19 is marginal on the water transparency. A time series of OLI/Landsat-8 images since 2014 were used to estimate the Secchi Disk Depth (ZSD). The COVID-19 cases and deaths (per 100,000 inhabitants), and social isolation index were used to find links between the ZSD and COVID-19. The results showed that the highest ZDS (higher than 1.6 m) occurred during the dry season (Austral autumn and beginning of Austral winter) and the lowest (0.4–0.8 m) during March 2020 (end of Austral summer). Paired sample t-Tests between images of 2020 and all the others showed that April 20th values were not different from that of June 14th, April 17th and March 18th. ZSD values from May 20th were not statistically different from May 14th and April 15th; June 20th values were not different from June 14th; and March 20th values were statistically different from all. We therefore conclude that, based on satellite data, the lockdown in SSP unlikely have influenced the water transparency in the Ibitinga reservoir.en
dc.description.affiliationSão Paulo State University – Unesp Department of Environmental Engineering
dc.description.affiliationFederal Institute of Education Science and Technology of Pará State
dc.description.affiliationNational Institute of Education and Asian School of the Environment Nanyang Technological University
dc.description.affiliationUnespSão Paulo State University – Unesp Department of Environmental Engineering
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipASCRS Research Foundation
dc.identifierhttp://dx.doi.org/10.1016/j.rsase.2021.100511
dc.identifier.citationRemote Sensing Applications: Society and Environment, v. 22.
dc.identifier.doi10.1016/j.rsase.2021.100511
dc.identifier.issn2352-9385
dc.identifier.scopus2-s2.0-85104339982
dc.identifier.urihttp://hdl.handle.net/11449/206208
dc.language.isoeng
dc.relation.ispartofRemote Sensing Applications: Society and Environment
dc.sourceScopus
dc.subjectLockdown
dc.subjectOLI/Landsat-8
dc.subjectSARS-CoV-2 pandemic
dc.subjectWater transparency
dc.titleRemote sensing of water transparency variability in the Ibitinga reservoir during COVID-19 lockdownen
dc.typeArtigo
unesp.author.orcid0000-0001-8550-2496[1]

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