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dc.contributor.authorBasharat, U.en
dc.contributor.authorTariq, S.en
dc.contributor.authorChaudhry, M. N.en
dc.contributor.authorKhan, M.en
dc.contributor.authorBonah, Agyekum, E.en
dc.contributor.authorFendzi, Mbasso, W.en
dc.contributor.authorKamel, S.en
dc.date.accessioned2024-04-05T16:34:09Z-
dc.date.available2024-04-05T16:34:09Z-
dc.date.issued2023-
dc.identifier.citationBasharat, U, Tariq, S, Chaudhry, MN, Khan, M, Bonah Agyekum, E, Mbasso, WF & Kamel, S 2023, 'Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing', Heliyon, Том. 9, № 10, e20635. https://doi.org/10.1016/j.heliyon.2023.e20635harvard_pure
dc.identifier.citationBasharat, U., Tariq, S., Chaudhry, M. N., Khan, M., Bonah Agyekum, E., Mbasso, W. F., & Kamel, S. (2023). Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing. Heliyon, 9(10), [e20635]. https://doi.org/10.1016/j.heliyon.2023.e20635apa_pure
dc.identifier.issn2405-8440-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Gold, Green3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85173213458&doi=10.1016%2fj.heliyon.2023.e20635&partnerID=40&md5=a8b286b272c41df49a5df66462ed7c561
dc.identifier.otherhttp://www.cell.com/article/S240584402307843X/pdfpdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/130839-
dc.description.abstractAerosols have a severe impact on the Earth's climate, human health, and ecosystem. To understand the impacts of aerosols on climate, human health, and the ecosystem we must need to understand the variability of aerosols and their optical properties. Therefore, we used Aqua-MODIS retrieved aerosol optical depth (AOD) (550 nm) and Angstrom exponent (AE) (440/870) data to analyze the Spatio-temporal seasonal variability of aerosols and their relationship with different meteorological parameters over Pakistan from 2002 to 2021. High (>0.5) AOD values were observed during the summer season and low (<0.8) in the spring season. AE values were observed to be high (>1) in the northern regions of Pakistan indicating the dominance of fine mode particles during the winter season. Moreover, AOD showed a positive correlation with Relative Humidity (RH), Evapotranspiration, Wind speed (WS), and Temperature. On the other hand, it showed a negative correlation with Soil moisture (SM), Normalized difference vegetation index (NDVI), and precipitation over Pakistan. Therefore, considering the outcomes of this study will help policymakers to understand the spatiotemporal variability of aerosols and their seasonal correlation with different meteorological parameters. © 2023 The Authorsen
dc.description.sponsorshipNational Aeronautics and Space Administration, NASAen
dc.description.sponsorshipWe acknowledged NASA for providing us with MODIS and AIRS datasets.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherElsevier Ltden
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-byother
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/unpaywall
dc.sourceHeliyon2
dc.sourceHeliyonen
dc.subjectAEROSOL OPTICAL DEPTHen
dc.subjectANGSTROM EXPONENTen
dc.subjectEVAPOTRANSPIRATIONen
dc.subjectNORMALIZED DIFFERENCE VEGETATION INDEXen
dc.subjectSOIL MOISTUREen
dc.titleSeasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensingen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.type|info:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1016/j.heliyon.2023.e20635-
dc.identifier.scopus85173213458-
local.contributor.employeeBasharat, U., Lahore School of Economics, Pakistanen
local.contributor.employeeTariq, S., Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Centre for Remote Sensing, University of the Punjab, Lahore, Pakistan, Department of Space Science, University of the Punjab, Lahore, Pakistanen
local.contributor.employeeChaudhry, M.N., Lahore School of Economics, Pakistanen
local.contributor.employeeKhan, M., Remote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Centre for Remote Sensing, University of the Punjab, Lahore, Pakistanen
local.contributor.employeeBonah Agyekum, E., Department of Nuclear and Renewable Energy, Ural Federal University Named After the First President of Russia Boris, 19 Mira Street, Yeltsin, Ekaterinburg, 620002, Russian Federationen
local.contributor.employeeFendzi Mbasso, W., Laboratory of Technology and Applied Sciences, University Institute of Technology, University of Douala, PO Box: 8698, Douala, Cameroonen
local.contributor.employeeKamel, S., Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, 81542, Egypten
local.issue10-
local.volume9-
dc.identifier.wos001113776800001-
local.contributor.departmentLahore School of Economics, Pakistanen
local.contributor.departmentRemote Sensing, GIS and Climatic Research Lab (National Center of GIS and Space Applications), Centre for Remote Sensing, University of the Punjab, Lahore, Pakistanen
local.contributor.departmentDepartment of Space Science, University of the Punjab, Lahore, Pakistanen
local.contributor.departmentDepartment of Nuclear and Renewable Energy, Ural Federal University Named After the First President of Russia Boris, 19 Mira Street, Yeltsin, Ekaterinburg, 620002, Russian Federationen
local.contributor.departmentLaboratory of Technology and Applied Sciences, University Institute of Technology, University of Douala, PO Box: 8698, Douala, Cameroonen
local.contributor.departmentDepartment of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, 81542, Egypten
local.identifier.pure46910284-
local.description.ordere20635-
local.identifier.eid2-s2.0-85173213458-
local.identifier.wosWOS:001113776800001-
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