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Titlebook: GNSS Remote Sensing; Theory, Methods and Shuanggen Jin,Estel Cardellach,Feiqin Xie Book 2014 Springer Science+Business Media Dordrecht 201

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發(fā)表于 2025-3-21 19:18:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱GNSS Remote Sensing
副標(biāo)題Theory, Methods and
編輯Shuanggen Jin,Estel Cardellach,Feiqin Xie
視頻videohttp://file.papertrans.cn/381/380138/380138.mp4
概述Contains detailed theory and study cases to help the reader put the material into practice.Contains a special chapter on next generation GNSS-RS, which is are seen as the future in GNSS.Describes new
叢書名稱Remote Sensing and Digital Image Processing
圖書封面Titlebook: GNSS Remote Sensing; Theory, Methods and  Shuanggen Jin,Estel Cardellach,Feiqin Xie Book 2014 Springer Science+Business Media Dordrecht 201
描述The versatile and available GNSS signals can detect the Earth’s surface environments as a new, highly precise, continuous, all-weather and near-real-time remote sensing tool. This book presents the theory and methods of GNSS remote sensing as well as its applications in the atmosphere, oceans, land and hydrology. Ground-based atmospheric sensing, space-borne atmospheric sensing, reflectometry, ocean remote sensing, hydrology sensing as well as cryosphere sensing with the GNSS will be discussed per chapter in the book.
出版日期Book 2014
關(guān)鍵詞Altimetry; Bistatic Radar; Cryosphere Sensing; Global Navigation Satellite Systems; Reflectometry; Remote
版次1
doihttps://doi.org/10.1007/978-94-007-7482-7
isbn_softcover978-94-024-0614-6
isbn_ebook978-94-007-7482-7Series ISSN 1567-3200 Series E-ISSN 2215-1842
issn_series 1567-3200
copyrightSpringer Science+Business Media Dordrecht 2014
The information of publication is updating

書目名稱GNSS Remote Sensing影響因子(影響力)




書目名稱GNSS Remote Sensing影響因子(影響力)學(xué)科排名




書目名稱GNSS Remote Sensing網(wǎng)絡(luò)公開度




書目名稱GNSS Remote Sensing網(wǎng)絡(luò)公開度學(xué)科排名




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發(fā)表于 2025-3-21 20:45:55 | 只看該作者
Applications of the Theory of HCF’sre called GNSS atmospheric and ionospheric delays, respectively. In addition, the GNSS antenna can receive signals from not only the direct path, but also indirect reflected or diffracted signals, which will result in a certain delay, phase, and amplitude difference relative to the direct component,
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https://doi.org/10.1007/3-540-35477-8satellites to receivers. The amount of ionospheric delay of GNSS varies from a few meters to decades of meters, but could reach more than decades of meters during severe ionosphere storms. In contrast, the GNSS ionospheric delay may provide some useful information on the ionosphere, e.g. the total e
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https://doi.org/10.1007/978-1-4615-6823-0l areas of interest for oceanography and marine applications are the retrievals of dielectric properties of the surface (related to temperature and salinity) and ship detection. Although the ratio between the co-polar and the cross-polar components of the Fresnel reflection coefficients for sea wate
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Descartes and the Mechanization of Fear,u observations of snow distribution are sparse, and remotely sensed products are imprecise and only available at a coarse spatial scale. In this chapter, the dry and wet snow monitoring from GNSS-R are presented as well as sea-ice condition.
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