LEADER 04306nam 2200985z- 450 001 9910639989803321 005 20231214133611.0 010 $a3-0365-5894-2 035 $a(CKB)5470000001633456 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/95838 035 $a(EXLCZ)995470000001633456 100 $a20202301d2022 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAir Quality Research Using Remote Sensing 210 $aBasel$cMDPI - Multidisciplinary Digital Publishing Institute$d2022 215 $a1 electronic resource (190 p.) 311 $a3-0365-5893-4 330 $aAir 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. 606 $aResearch & information: general$2bicssc 606 $aMeteorology & climatology$2bicssc 610 $atropospheric NO2 concentrations 610 $anitrogen dioxide 610 $aOMI 610 $aspatio-temporal trends 610 $aDBEST 610 $aPolyTrend 610 $atime-series analysis 610 $abreakpoint detection 610 $aair pollution 610 $aTROPOMI 610 $aCOVID 610 $anitrogen oxides 610 $asatellite-based 610 $aNO2 610 $aland use regression 610 $aexposure assessment 610 $acarbon monoxide 610 $aCOVID-19 610 $aChina 610 $asurface concentration 610 $aIASI 610 $adrone 610 $aUAV 610 $agas sensors 610 $aodour 610 $aindustrial emissions 610 $amapping 610 $aenvironmental monitoring 610 $aaerosol optical depth 610 $aCAMS 610 $amachine learning 610 $aMODIS 610 $aurban form 610 $aPM2.5 610 $alandscape metrics 610 $ageographically weighted regression 610 $aYunnan Plateau 610 $abiomass burning 610 $across-border transport 610 $aWRF-Chem 610 $aformaldehyde 610 $atrend 610 $asatellite 610 $amonitor 610 $aannual 610 $aseasonal 610 $atemperature 610 $ameteorology 610 $aAOD 610 $aEurope 610 $aopen data 615 7$aResearch & information: general 615 7$aMeteorology & climatology 700 $aCosta$b Maria Joa?o$4edt$01296246 702 $aBortoli$b Daniele$4edt 702 $aCosta$b Maria Joa?o$4oth 702 $aBortoli$b Daniele$4oth 906 $aBOOK 912 $a9910639989803321 996 $aAir Quality Research Using Remote Sensing$93023906 997 $aUNINA