Light Scattering Reviews, Vol. 6 (inbunden)
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Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
336
Utgivningsdatum
2011-09-22
Upplaga
2012
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Kokhanovsky, Alexander A. (ed.)
Illustratör/Fotograf
14 schwarz-weiße Tabellen 100 schwarz-weiße und 20 farbige Abbildungen
Illustrationer
14 Tables, black and white; XXII, 336 p.
Volymtitel
v. 6 Light Scattering Reviews, Vol. 6 Multiple and Single Light Scattering
Dimensioner
241 x 168 x 23 mm
Vikt
726 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9783642155307
Light Scattering Reviews, Vol. 6 (inbunden)

Light Scattering Reviews, Vol. 6

Light Scattering and Remote Sensing of Atmosphere and Surface

Inbunden Engelska, 2011-09-22
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This is the next volume in series of Light Scattering Reviews. Volumes 1-5 have already been printed by Springer. The volume is composed of several papers ( usually, 10) of leading researchers in the respective field. The main focus of this book is light scattering, radiative transfer and optics of snow.
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Innehållsförteckning

Chapter 1. Single light scattering 1. 1. Finite-difference time domain solution of light scattering by arbi 1.2.Light scattering by irregularly shaped particles comparable with wavelength trarily shaped particles and surfaces 1.3.Light scattering by large particles 1.4. Polar nephelometer: design and measurements Chapter 2. Radiative transfer 2.1 The general-purpose discrete-ordinate algorithm DISORT for radiative transfer 2.2. SCIATRAN: a new tool for studies of the polarized radiative transfer in the terrestrial atmosphere - underlying surface system Chapter 3. Remote sensing of atmosphere and surface 3.1. Genesis and evolution of the use of polarization in remote sensing of atmospheres and oceans 3.2. Airborne measurements of solar spectral irradiance and our understanding of cloud and aerosol radiative effects Chapter 4. Scattering optics and remote sensing of snow 4. 1. Complexity of the scattering optics of natural snow cover 4.2. Optical properties of snow surface and remote sensing of snow physical parameters