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Record #119731:

A neural network approach to inversion of snow water equivalent from passive microwave measurements / Alfred T.C. Chang, L. Tsang.

Title: A neural network approach to inversion of snow water equivalent from passive microwave measurements / Alfred T.C. Chang, L. Tsang.
Author(s): Chang, Alfred T. C.
Tsang, L.
Date: 1992.
In: Nordic Hydrology. (1992.), Vol. 23(3) (1992)
Abstract: Inversion accomplished by using neural network trained with dense media multiple scattering model. Brightness temperatures from 19 GHz vertical and horizontal polarizations, 22 GHz vertical polarization and 37 GHz vertical and horizontal polarizations, available from SSM/I sensors, are used as input to network. Percentage error for estimated SWE varies from 9 to 57% for different snow conditions.
Notes:

Nordic Hydrology. Vol. 23(3) :173-182 (1992).

Keywords: 551.579.2 -- Water supply from snow.
53.087.23 -- Remote sensing.
551.32 -- Glaciology.
551.321 -- Glaciological methods and instruments.
551.321.7 -- Snow cover, measurement of properties.
E3 -- Glaciology: instruments and methods.
Location(s): SCO: SPRI-PAM: 551.579.2
SPRI record no.: 119731

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245 12 ‡aA neural network approach to inversion of snow water equivalent from passive microwave measurements /‡cAlfred T.C. Chang, L. Tsang.
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520 3# ‡aInversion accomplished by using neural network trained with dense media multiple scattering model. Brightness temperatures from 19 GHz vertical and horizontal polarizations, 22 GHz vertical polarization and 37 GHz vertical and horizontal polarizations, available from SSM/I sensors, are used as input to network. Percentage error for estimated SWE varies from 9 to 57% for different snow conditions.
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