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Foundations of Atmospheric Remote Sensing
(Englisch)
Efremenko, Dmitry & Kokhanovsky, Alexander

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Produktbeschreibung

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.  


Introduction to remote sensing.- Physical properties of the terrestrial atmosphere.- Light scattering, absorption, extinction, and propagation in the terrestrial atmosphere.- Radiative transfer models.

Inhaltsverzeichnis



Introduction to remote sensing.- Physical properties of the terrestrial atmosphere.- Light scattering, absorption, extinction, and propagation in the terrestrial atmosphere.- Radiative transfer models.


Klappentext

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.




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 remote sensing

Presents an overview of the current capabilities and limitations of remote sensing technologies

Includes a brief overview of numerical aspects and equips the reader to implement all the algorithms from scratch



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