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Jun 1, 2024 · This framework is based on the dual-polarimetric radar vegetation index (DpRVI c), which enhances the snow volume scattering signal and reduces soil interference by integrating soil purity and a conditioning factor to fully exploit the advantages of polarimetric SAR information.
Apr 24, 2024 · However, interference from soil signals can affect the accurate quantification of snow volume scattering signals. The aim of this study was to develop a dual-polarimetric radar snow...
Oct 11, 2019 · Changes in snow properties between dry and wet conditions, such as in snow microstructure and liquid water content, potentially modify the proportionality of volume versus surface scattering,...
- Hans Lievens, Hans Lievens, Matthias Demuzere, Matthias Demuzere, Hans-Peter Marshall, Hans-Peter Ma...
- 2019
May 17, 2010 · The analysis suggests that (1) the importance of multiple-scattering effects increases with an increasing particle size or single-scattering albedo for a given radar frequency; (2) Crystal shape effects can be important for radar depolarization return when snow volume scattering is low or moderate, while multiple scattering becomes a major ...
- Jinyang Du, Jiancheng Shi, Jiancheng Shi, Helmut Rott
- 2010
Jul 10, 2017 · Snow optical grain radius usually ranges from ∼50 to >1000 μm (Reference Painter, Dozier, Roberts, Davis and Green Painter and others, 2003). These particles create a volume-scattering medium with penetration of radiation into the snowpack, which depends primarily on wavelength and particle size.
- Jeffrey S. Deems, Thomas H. Painter, David C. Finnegan
- 2013
Sep 2, 2022 · The results show that the rough soil surface scattering contribution, including snow attenuation, is around −12 dB at X-band and decreases to −14 dB at 17.2 GHz; higher frequencies such as Ku-band typically experience higher volume scattering and greater attenuation of the surface scattering contributions. Continued studies are required to ...
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Does soil interference affect snow volume scattering?
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Nov 1, 2020 · Abstract. Wetness is one of the important physical parameters of snowpack. Its spatial and temporal changes play a key role in snowmelt runoff forecast, regional climate change, and agricultural irrigation. In this study, we proposed a new method to retrieve snow wetness from full-polarimetric synthetic aperture radar (SAR) data.