NDLI: Passive remote sensing of snow with hydrological model and constraints on grain size and snow density

Content Provider	IEEE Xplore Digital Library
Author	Chi-Te Chen Yuankai Wang Nijssen, B.
Copyright Year	1999
Description	Author affiliation: Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA (Chi-Te Chen)
Abstract	Predicting the snow parameters, such as snow depth or snow water equivalent is an important task in the geoscience study. In the past, parameter retrieval algorithms mainly use the relationship between a subset of the snow parameters and passive remote sensing measurements. However, the brightness temperatures depend not only on snow depth but also on other snow parameters. Thus, it is desirable to develop a multi-parametric inversion algorithm using multi-frequency and dual polarization measurements. The authors' current approach is using a constrained neural network iterative inversion algorithm incorporating a priori estimates provided by the snow hydrology model to retrieve the snow parameters. For the real-time application, the weather forecast model precipitation input instead of station precipitation data is used to provide the precipitation input for the snow hydrology model. The results of the constrained inversion will be illustrated for the stations in the Northern Hemisphere.
Starting Page	1801
Ending Page	1803
File Size	280698
Page Count	3
File Format	PDF
ISBN	0780352076
DOI	10.1109/IGARSS.1999.772100
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-06-28
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Remote sensing Snow Hydrologic measurements Iterative algorithms Hydrology Weather forecasting Predictive models Geoscience Brightness temperature Polarization
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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