Titlebook: Springer Series in Light Scattering; Volume 1: Multiple L Alexander Kokhanovsky Book 2018 Springer International Publishing AG, part of Spr

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978-3-319-88992-4Springer International Publishing AG, part of Springer Nature 2018

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Springer Series in Light Scattering978-3-319-70796-9Series ISSN 2509-2790 Series E-ISSN 2509-2804

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Multiple Scattering of Light in Ordered Particulate Media,articular: angular distribution of light scattered by monolayer, small-angle light scattering and transmission by polymer dispersed liquid crystal film, quenching effect for coherent component of transmitted light, and the spatial optical noise. Features in scattering and transmittance by correlated particles in liquating glasses are explained.

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Multiple Scattering of Light in Ordered Particulate Media,onics, and optoelectronics are presented. The approach to find spatial arrangement of particles forming the planar crystal with imperfect lattice is described. It is used to simulate light absorption by the solar cells and transmittance of antireflecion coatings, selective reflectors, multispectral

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Fast Stochastic Radiative Transfer Models for Trace Gas and Cloud Property Retrievals Under Cloudy or broken clouds, the first-order stochastic model for a two-dimensional radiance vector, whose entries are the mean radiance field and the covariance of the radiance and the indicator fields, is derived. An algorithm for accurate retrieving ozone and clouds parameters under broken cloud conditions

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Neural Networks and Support Vector Machines and Their Application to Aerosol and Cloud Remote Sensiommunity. They can be used to solve inverse problems as well as for data classification and clustering. The first applications of machine learning methods to remote sensing problems were mainly aimed at tasks such as land use classification, identification of specific objects (e.g. clouds)in satelli

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2509-2790 nd absorption in random media. Many natural and biological media vary randomly in time and space. Examples are terrestrial atmosphere and ocean, biological liquids and tissues to name but a few.978-3-319-88992-4978-3-319-70796-9Series ISSN 2509-2790 Series E-ISSN 2509-2804

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2509-2790 lds to provide a better understanding of single and multipleThis book presents recent advances in studies of light propagation, scattering, emission and absorption in random media. Many natural and biological media vary randomly in time and space. Examples are terrestrial atmosphere and ocean, biolo

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Fast Stochastic Radiative Transfer Models for Trace Gas and Cloud Property Retrievals Under Cloudy is designed. Because the independent pixel approximation fails to predict accurate radiances, the retrieval algorithm uses a stochastic radiative transfer model. The accuracy of the stochastic model in forward models and retrieval algorithms is analyzed.