A numerical simulation on estimation of snow wetness with dual-frequency and polarization radar

Jiancheng Shi; Linmei Jiang

doi:10.1117/12.578305

22 December 2004 A numerical simulation on estimation of snow wetness with dual-frequency and polarization radar

Jiancheng Shi, Linmei Jiang

Proceedings Volume 5654, Microwave Remote Sensing of the Atmosphere and Environment IV; (2004) https://doi.org/10.1117/12.578305
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States

Abstract

In hydrological investigations, modeling and forecasting of snow melt runoff requires timely information about snow properties and their spatial variability. The liquid water content in snow pack is an important parameter. Previous study1 has indicated that the fully polarimetric C-band synthetic aperture radar (SAR) is capable to estimate the free liquid water content-snow wetness-in the top layer of a snow pack quantitatively. The objective of this study is to evaluate the capability of a radar system with measurements of the dual frequency (C-band 5.3 GHz and Ku-band 13.4 GHz) and of the dual-polarization (VV and HV) in estimation of snow wetness based on the numerical simulation. We have established C-band and Ku-band radar wet snow data-base by using second-order radiative transfer backscattering model. The data-base covers the most possible wet snow physical properties and surface roughness conditions. Using this data-base, an inversion algorithm has been developed for snow wetness retrieval. The newly developed algorithm mainly involved two steps: 1) decomposing the surface and volume scattering signals using depolarization factor, and 2) using each scattering component (surface or volume backscattering signals) to estimate snow wetness.

Citation Download Citation

Jiancheng Shi and Linmei Jiang "A numerical simulation on estimation of snow wetness with dual-frequency and polarization radar", Proc. SPIE 5654, Microwave Remote Sensing of the Atmosphere and Environment IV, (22 December 2004); https://doi.org/10.1117/12.578305

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