| 書目名稱 | Foundations of Atmospheric Remote Sensing | | 編輯 | Dmitry Efremenko,Alexander Kokhanovsky | | 視頻video | http://file.papertrans.cn/347/346878/346878.mp4 | | 概述 | Brings together radiative transfer and inversion and provides readers with an overview of the whole operational processing chain.Is suitable for readers who have just started working in the field of r | | 圖書封面 |  | | 描述 | .Theoretical foundations of atmospheric remote sensing are electromagnetic theory, radiative transfer and inversion theory. This book provides an overview of these topics in a common context, compile the results of recent research, as well as fill the gaps, where needed. The following aspects are covered: principles of remote sensing, the atmospheric physics, foundations of the radiative transfer theory, electromagnetic absorption, scattering and propagation, review of computational techniques in radiative transfer, retrieval techniques as well as regularization principles of inversion theory. As such, the book provides a valuable resource for those who work with remote sensing data and want to get a broad view of theoretical foundations of atmospheric remote sensing. The book will be also useful for students and researchers working in such diverse fields like inverse problems, atmospheric physics, electromagnetic theory, and radiative transfer.??. | | 出版日期 | Book 2021 | | 關(guān)鍵詞 | Radiative Transfer; satellite data; Light Scattering; Inverse Problems; Atmospheric Optics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-66745-0 | | isbn_softcover | 978-3-030-66747-4 | | isbn_ebook | 978-3-030-66745-0 | | copyright | Springer Nature Switzerland AG 2021 |
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