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Microwave Scattering and Emission Models and their Applications

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TLDR
First-order radiative transfer solution passive sensing formulation of the surface scattering problem surface model and special cases ranges validity of the IEM model matrix doubling formulations for scattering and emission scattering and emissions models for snow and sea ice comparisons of model predictions with backscattering and emission measurements from snow and ice.
Abstract
First-order radiative transfer solution first-order radiative transfer solution passive sensing formulation of the surface scattering problem surface model and special cases ranges validity of the IEM model matrix doubling formulations for scattering and emission scattering and emissions models for snow and sea ice comparisons of model predictions with backscattering and emission measurements from snow and ice.

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A tutorial on synthetic aperture radar

TL;DR: This paper provides first a tutorial about the SAR principles and theory, followed by an overview of established techniques like polarimetry, interferometry and differential interferometric as well as of emerging techniques (e.g., polarimetric SARinterferometry, tomography and holographic tomography).
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The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle

TL;DR: In this article, a P-band polarimetric SAR with interferometric capability is used to measure the magnitude and distribution of forest biomass globally to improve resource assessment, carbon accounting and carbon models, and to monitor and quantify changes in terrestrial forest biomass.
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Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations

TL;DR: The results based on the new version (advanced IEM) indicate that significant improvements for emissivity prediction may be obtained for a wide range of roughness scales, in particular in the intermediate roughness regions.
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Inversion of surface parameters from polarimetric SAR

TL;DR: It demonstrates how three polarimetric parameters, namely the scattering entropy, the scattering anisotropy, and the alpha angle may be used in order to decouple surface roughness from moisture content estimation offering the possibility of a straightforward inversion of these two surface parameters.
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