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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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发表于 2025-3-21 19:18:49 | 显示全部楼层 |阅读模式
书目名称GNSS Remote Sensing
副标题Theory, Methods and
编辑Shuanggen Jin,Estel Cardellach,Feiqin Xie
视频video
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
丛书名称Remote Sensing and Digital Image Processing
图书封面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
关键词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

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书目名称GNSS Remote Sensing网络公开度学科排名




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书目名称GNSS Remote Sensing被引频次学科排名




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书目名称GNSS Remote Sensing年度引用学科排名




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书目名称GNSS Remote Sensing读者反馈学科排名




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发表于 2025-3-21 20:45:55 | 显示全部楼层
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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