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dc.contributor.editorCosta, Maria João
dc.contributor.editorBortoli, Daniele
dc.date.accessioned2023-01-05T12:35:08Z
dc.date.available2023-01-05T12:35:08Z
dc.date.issued2022
dc.identifierONIX_20230105_9783036558936_67
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/95838
dc.description.abstractAir pollution is a worldwide environmental hazard that poses serious consequences not only for human health and the climate but also for agriculture, ecosystems, and cultural heritage, among other factors. According to the WHO, there are 8 million premature deaths every year as a result of exposure to ambient air pollution. In addition, more than 90% of the world’s population live in areas where the air quality is poor, exceeding the recommended limits. On the other hand, air pollution and the climate co-influence one another through complex physicochemical interactions in the atmosphere that alter the Earth’s energy balance and have implications for climate change and the air quality. It is important to measure specific atmospheric parameters and pollutant compound concentrations, monitor their variations, and analyze different scenarios with the aim of assessing the air pollution levels and developing early warning and forecast systems as a means of improving the air quality and safeguarding public health. Such measures can also form part of efforts to achieve a reduction in the number of air pollution casualties and mitigate climate change phenomena. This book contains contributions focusing on remote sensing techniques for evaluating air quality, including the use of in situ data, modeling approaches, and the synthesis of different instrumentations and techniques. The papers published in this book highlight the importance and relevance of air quality studies and the potential of remote sensing, particularly that conducted from Earth observation platforms, to shed light on this topic.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: generalen_US
dc.subject.classificationthema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatologyen_US
dc.subject.othertropospheric NO2 concentrations
dc.subject.othernitrogen dioxide
dc.subject.otherOMI
dc.subject.otherspatio-temporal trends
dc.subject.otherDBEST
dc.subject.otherPolyTrend
dc.subject.othertime-series analysis
dc.subject.otherbreakpoint detection
dc.subject.otherair pollution
dc.subject.otherTROPOMI
dc.subject.otherCOVID
dc.subject.othernitrogen oxides
dc.subject.othersatellite-based
dc.subject.otherNO2
dc.subject.otherland use regression
dc.subject.otherexposure assessment
dc.subject.othercarbon monoxide
dc.subject.otherCOVID-19
dc.subject.otherChina
dc.subject.othersurface concentration
dc.subject.otherIASI
dc.subject.otherdrone
dc.subject.otherUAV
dc.subject.othergas sensors
dc.subject.otherodour
dc.subject.otherindustrial emissions
dc.subject.othermapping
dc.subject.otherenvironmental monitoring
dc.subject.otheraerosol optical depth
dc.subject.otherCAMS
dc.subject.othermachine learning
dc.subject.otherMODIS
dc.subject.otherurban form
dc.subject.otherPM2.5
dc.subject.otherlandscape metrics
dc.subject.othergeographically weighted regression
dc.subject.otherYunnan Plateau
dc.subject.otherbiomass burning
dc.subject.othercross-border transport
dc.subject.otherWRF-Chem
dc.subject.otherformaldehyde
dc.subject.othertrend
dc.subject.othersatellite
dc.subject.othermonitor
dc.subject.otherannual
dc.subject.otherseasonal
dc.subject.othertemperature
dc.subject.othermeteorology
dc.subject.otherAOD
dc.subject.otherEurope
dc.subject.otheropen data
dc.subject.othern/a
dc.titleAir Quality Research Using Remote Sensing
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-5894-3
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036558936
oapen.relation.isbn9783036558943
oapen.pages190
oapen.place.publicationBasel


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