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Accounting for Sub-Pixel Variability of Clouds and/or Unresolved Spectral Variability, as Needed, with Generalized Radiative Transfer Theory

Abstract

© OSA 2015. Atmospheric hyperspectral VNIR sensing struggles with sub-pixel variability of clouds and/or limited spectral resolution mixing molecular lines. Our generalized radiative transfer model addresses both issues with new propagation kernels characterized by power-law decay in space.

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