Air Quality Research Using Remote Sensing
Air 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...
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| Format: | Online |
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| Jezik: | angleščina |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Teme: | |
| Online dostop: | ONIX_20230105_9783036558936_67 |
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Brez oznak, prvi označite!
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| _version_ | 1869518813600415744 |
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| collection | Directory of Open Access Books |
| description | Air 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. |
| format | Online |
| id | doab-20.500.12854ir-95838 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-958382024-03-28T03:31:32Z Air Quality Research Using Remote Sensing Costa, Maria João Bortoli, Daniele tropospheric NO2 concentrations nitrogen dioxide OMI spatio-temporal trends DBEST PolyTrend time-series analysis breakpoint detection air pollution TROPOMI COVID nitrogen oxides satellite-based NO2 land use regression exposure assessment carbon monoxide COVID-19 China surface concentration IASI drone UAV gas sensors odour industrial emissions mapping environmental monitoring aerosol optical depth CAMS machine learning MODIS urban form PM2.5 landscape metrics geographically weighted regression Yunnan Plateau biomass burning cross-border transport WRF-Chem formaldehyde trend satellite monitor annual seasonal temperature meteorology AOD Europe open data n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology Air 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. 2023-01-05T12:35:08Z 2023-01-05T12:35:08Z 2022 book ONIX_20230105_9783036558936_67 9783036558936 9783036558943 https://directory.doabooks.org/handle/20.500.12854/95838 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/6495 https://mdpi.com/books/pdfview/book/6495 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-5894-3 10.3390/books978-3-0365-5894-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036558936 9783036558943 190 Basel open access |
| spellingShingle | tropospheric NO2 concentrations nitrogen dioxide OMI spatio-temporal trends DBEST PolyTrend time-series analysis breakpoint detection air pollution TROPOMI COVID nitrogen oxides satellite-based NO2 land use regression exposure assessment carbon monoxide COVID-19 China surface concentration IASI drone UAV gas sensors odour industrial emissions mapping environmental monitoring aerosol optical depth CAMS machine learning MODIS urban form PM2.5 landscape metrics geographically weighted regression Yunnan Plateau biomass burning cross-border transport WRF-Chem formaldehyde trend satellite monitor annual seasonal temperature meteorology AOD Europe open data n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology Air Quality Research Using Remote Sensing |
| title | Air Quality Research Using Remote Sensing |
| title_full | Air Quality Research Using Remote Sensing |
| title_fullStr | Air Quality Research Using Remote Sensing |
| title_full_unstemmed | Air Quality Research Using Remote Sensing |
| title_short | Air Quality Research Using Remote Sensing |
| title_sort | air quality research using remote sensing |
| topic | tropospheric NO2 concentrations nitrogen dioxide OMI spatio-temporal trends DBEST PolyTrend time-series analysis breakpoint detection air pollution TROPOMI COVID nitrogen oxides satellite-based NO2 land use regression exposure assessment carbon monoxide COVID-19 China surface concentration IASI drone UAV gas sensors odour industrial emissions mapping environmental monitoring aerosol optical depth CAMS machine learning MODIS urban form PM2.5 landscape metrics geographically weighted regression Yunnan Plateau biomass burning cross-border transport WRF-Chem formaldehyde trend satellite monitor annual seasonal temperature meteorology AOD Europe open data n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology |
| topic_facet | tropospheric NO2 concentrations nitrogen dioxide OMI spatio-temporal trends DBEST PolyTrend time-series analysis breakpoint detection air pollution TROPOMI COVID nitrogen oxides satellite-based NO2 land use regression exposure assessment carbon monoxide COVID-19 China surface concentration IASI drone UAV gas sensors odour industrial emissions mapping environmental monitoring aerosol optical depth CAMS machine learning MODIS urban form PM2.5 landscape metrics geographically weighted regression Yunnan Plateau biomass burning cross-border transport WRF-Chem formaldehyde trend satellite monitor annual seasonal temperature meteorology AOD Europe open data n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology |
| url | ONIX_20230105_9783036558936_67 |