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Titlebook: Remote Sensing of Atmosphere and Ocean from Space: Models, Instruments and Techniques; Frank S. Marzano,Guido Visconti Book 2002 Springer

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發(fā)表于 2025-3-21 17:58:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Remote Sensing of Atmosphere and Ocean from Space: Models, Instruments and Techniques
編輯Frank S. Marzano,Guido Visconti
視頻videohttp://file.papertrans.cn/827/826926/826926.mp4
叢書名稱Advances in Global Change Research
圖書封面Titlebook: Remote Sensing of Atmosphere and Ocean from Space: Models, Instruments and Techniques;  Frank S. Marzano,Guido Visconti Book 2002 Springer
描述.This book is a collection of the lectures, held at the International Summer School ISSAOS-2000 in L‘Aquila (Italy), given by invited lecturers coming from both Europe and the USA. The goal of the book is to provide a broad panorama of spaceborne remote sensing techniques, at both microwave and visible-infrared bands and by both active and passive sensors, for the retrieval of atmospheric and oceanic parameters. A significant emphasis is given to the physical modeling background, instrument potential and limitations, inversion methods and applications. Topics on international remote sensing programs and assimilation techniques into numerical weather forecast models are also touched. ..The main purpose of the book is to offer to young scientists, Ph.D. or equivalent students, and to all who would like to have a broad-spectrum understanding of spaceborne remote sensing capabilities, introductory material to each remote sensing topic written by the most qualified experts in the field. .
出版日期Book 2002
關(guān)鍵詞Aerosol; Cloud; Inversion; Ocean; Precipitation; Profil; Radiometer; Rain; Scale; remote sensing; ecotoxicolog
版次1
doihttps://doi.org/10.1007/0-306-48150-2
isbn_softcover978-90-481-6151-5
isbn_ebook978-0-306-48150-5Series ISSN 1574-0919 Series E-ISSN 2215-1621
issn_series 1574-0919
copyrightSpringer Science+Business Media Dordrecht 2002
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:42:09 | 只看該作者
https://doi.org/10.1007/0-306-48150-2Aerosol; Cloud; Inversion; Ocean; Precipitation; Profil; Radiometer; Rain; Scale; remote sensing; ecotoxicolog
板凳
發(fā)表于 2025-3-22 01:22:10 | 只看該作者
Atmospheric Temperature Analysis Using Microwave RadiometryBayesian criterion to test hypothesis is described to solve a data classification problem. Bayesian estimation of unknown parameters is presented as a method to invert direct electromagnetic models. The use of contextual information when dealing with images is also shortly described
地板
發(fā)表于 2025-3-22 07:39:11 | 只看該作者
COST Action 712: COST Action 712 is an example of fruitful collaboration in Europe, here on scientific and technical issues of passive remote sensing at microwave frequencies for applications in meteorology. The topic is introduced, main achievements are summarised, and examples are presented for illustration.
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發(fā)表于 2025-3-22 11:53:56 | 只看該作者
Bayesian Techniques in Remote Sensingr, Bayesian criterion to test hypothesis is described to solve a data classification problem. Bayesian estimation of unknown parameters is presented as a method to invert direct electromagnetic models. The use of contextual information when dealing with images is also shortly described.
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Remote Sensing of Atmosphere and Ocean from Space: Models, Instruments and Techniques978-0-306-48150-5Series ISSN 1574-0919 Series E-ISSN 2215-1621
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發(fā)表于 2025-3-23 03:54:45 | 只看該作者
1574-0919 ers coming from both Europe and the USA. The goal of the book is to provide a broad panorama of spaceborne remote sensing techniques, at both microwave and visible-infrared bands and by both active and passive sensors, for the retrieval of atmospheric and oceanic parameters. A significant emphasis i
10#
發(fā)表于 2025-3-23 07:30:55 | 只看該作者
Atmospheric Backscatter and Lidars lidar observations of atmospheric aerosols, one of the major unknowns in the Earth’s climate system. The fundamental tools for a quantitative retrieval of tropospheric aerosol backscatter and extinction on the basis of single-wavelength lidar observations will be given.
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