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- W2371301981 abstract "The snow depth may be under estimated from the passive microwave remote sensing data at the frequency of 36. 5 GHz due to the saturation of the microwave signal detected by the remote sensor,thus,a new segmental modeling approach for snow depth estimation was created by combining the brightness temperature differences between 18. 7 GHz and 36. 5 GHz channels and between 10. 7 GHz and 18. 7 GHz channels. Afterwards,the brightness temperature data acquired by the AMSR2( Advanced Microwave Scanning Radiometer 2) sensor onboard the GCOM- W1 satellite were used to test the model and the snow depth of Xinjiang from December 2012 to February2013 was estimated. The observations collected by the Xinjiang meteorological stations and field in-situ measurements of snow depth were employed to assess the estimation. The results show that the segmental approach can identify the spatial distribution of snow covers and accurate estimation of snow depth can be achieved,which obviously outperforms the result using Chang's algorithm." @default.
- W2371301981 created "2016-06-24" @default.
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- W2371301981 date "2014-01-01" @default.
- W2371301981 modified "2023-09-24" @default.
- W2371301981 title "Snow Parameter Estimation from Microwave Remote Sensing Data" @default.
- W2371301981 hasPublicationYear "2014" @default.
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