Remote Sensing of Atmospheric Pollution
This book edited by Drs. Yang Liu from Emory University, Jun Wang from the University of Iowa, and Omar Torres from NASA Goddard Space Flight Center recompiles the results of recently documented research work on Atmospheric Pollution published as a special issue of the MDPI Remote Sensing Journal. I...
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| বিন্যাস: | Online |
| ভাষা: | ইংরেজি |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | 25034 |
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| _version_ | 1869520927670140928 |
|---|---|
| author | Yang Liu (Ed.) Jun Wang (Ed.) |
| author_browse | Jun Wang (Ed.) Yang Liu (Ed.) |
| author_facet | Yang Liu (Ed.) Jun Wang (Ed.) |
| author_sort | Yang Liu (Ed.) |
| collection | Directory of Open Access Books |
| description | This book edited by Drs. Yang Liu from Emory University, Jun Wang from the University of Iowa, and Omar Torres from NASA Goddard Space Flight Center recompiles the results of recently documented research work on Atmospheric Pollution published as a special issue of the MDPI Remote Sensing Journal. It includes twenty peer-reviewed scientific articles on Remote Sensing of Atmospheric Pollution by leading experts from research institutions and universities around the world. The quality and scientific relevance of the published material was carefully monitored by the guest editor team. Both modeling and observational aspects of particulate matter and trace gas pollutants are treated in great detail by the contributing experts. Many of the published articles explore the use of satellite observations by sensors such as MODIS, VIIRS, and OMI as a valuable research tool. Authors use these observations in combination with models and ground-based observations to enhance the resources available to improve our understanding of the physical and chemical processes driving the observed pollution levels near the ground and in the free troposphere that ultimately determine the quality of the air we all breathe. This is an important reference book for scientists, professors and students both graduate and undergraduate interested in up-to-date survey of remote sensing applications to Atmospheric Pollution. |
| format | Online |
| id | doab-20.500.12854ir-58172 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-581722024-03-30T02:52:47Z Remote Sensing of Atmospheric Pollution Yang Liu (Ed.) Jun Wang (Ed.) GE1-350 Remote Sensing thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics This book edited by Drs. Yang Liu from Emory University, Jun Wang from the University of Iowa, and Omar Torres from NASA Goddard Space Flight Center recompiles the results of recently documented research work on Atmospheric Pollution published as a special issue of the MDPI Remote Sensing Journal. It includes twenty peer-reviewed scientific articles on Remote Sensing of Atmospheric Pollution by leading experts from research institutions and universities around the world. The quality and scientific relevance of the published material was carefully monitored by the guest editor team. Both modeling and observational aspects of particulate matter and trace gas pollutants are treated in great detail by the contributing experts. Many of the published articles explore the use of satellite observations by sensors such as MODIS, VIIRS, and OMI as a valuable research tool. Authors use these observations in combination with models and ground-based observations to enhance the resources available to improve our understanding of the physical and chemical processes driving the observed pollution levels near the ground and in the free troposphere that ultimately determine the quality of the air we all breathe. This is an important reference book for scientists, professors and students both graduate and undergraduate interested in up-to-date survey of remote sensing applications to Atmospheric Pollution. 2021-02-12T01:47:44Z 2021-02-12T01:47:44Z 2018-01-10 13:24:01 2017 book 25034 9783038426400 9783038426417 https://directory.doabooks.org/handle/20.500.12854/58172 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://www.amazon.com/Remote-Sensing-Atmospheric-Pollution-Yang/dp/3038426407/ref=sr_1_1?s=books&ie=UTF8&qid=1515584065&sr=1-1&keywords=Remote+Sensing+of+Atmospheric+Pollution http://www.mdpi.com/books/pdfview/book/487 MDPI - Multidisciplinary Digital Publishing Institute 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038426400 9783038426417 352 open access |
| spellingShingle | GE1-350 Remote Sensing thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics Yang Liu (Ed.) Jun Wang (Ed.) Remote Sensing of Atmospheric Pollution |
| title | Remote Sensing of Atmospheric Pollution |
| title_full | Remote Sensing of Atmospheric Pollution |
| title_fullStr | Remote Sensing of Atmospheric Pollution |
| title_full_unstemmed | Remote Sensing of Atmospheric Pollution |
| title_short | Remote Sensing of Atmospheric Pollution |
| title_sort | remote sensing of atmospheric pollution |
| topic | GE1-350 Remote Sensing thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics |
| topic_facet | GE1-350 Remote Sensing thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics |
| url | 25034 |
| work_keys_str_mv | AT yangliued remotesensingofatmosphericpollution AT junwanged remotesensingofatmosphericpollution |