retrieving the characteristics of slab ice covering snow by remote sensing
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ID: 230634
2016
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Abstract
We present an effort to validate a previously
developed radiative transfer model, and an innovative Bayesian inversion method designed to retrieve
the properties of slab-ice-covered surfaces. This retrieval method is adapted
to satellite data, and is able to provide uncertainties on the results of the
inversions. We focused on surfaces composed of a pure slab of
water ice covering an optically thick layer of snow in this study. We sought to retrieve
the roughness of the ice–air interface, the thickness of the slab layer and
the mean grain diameter of the underlying snow. Numerical validations have
been conducted on the method, and showed that if the thickness of the slab
layer is above 5 mm and the noise on the signal is above 3 %, then
it is not possible to invert the grain diameter of the snow. In contrast,
the roughness and the thickness of the slab can be determined, even with high
levels of noise up to 20 %. Experimental validations have been conducted on
spectra collected from laboratory samples of water ice on snow using a
spectro-radiogoniometer. The results are in agreement with the numerical
validations, and show that a grain diameter can be correctly retrieved for
low slab thicknesses, but not for bigger ones, and that the roughness and
thickness are correctly inverted in every case.
| Reference Key |
andrieu2016theretrieving
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|---|---|
| Authors | ;F. Andrieu;F. Schmidt;B. Schmitt;B. Schmitt;S. Douté;S. Douté;O. Brissaud;O. Brissaud |
| Journal | journal of applied polymer science |
| Year | 2016 |
| DOI |
10.5194/tc-10-2113-2016
|
| URL | |
| Keywords |
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