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Oct 11, 2019 · The snow volume scattering component in vh-polarization is no longer negligible compared to the contribution of the ground surface. The cross-polarization ratio σ 0vh / σ 0vv (in linear...
- Hans Lievens, Hans Lievens, Matthias Demuzere, Matthias Demuzere, Hans-Peter Marshall, Hans-Peter Ma...
- 2019
Apr 12, 2017 · In homogenously dry snow, the main backscattering effect is due to the snow-ground interface (part (2) in Figure 4(b)), whereas the volume scattering is small and its effect on the interferometric phase is negligible (part (3) in Figure 4(b)) .
Within the resolution cell of SAR, the volume scattering of snow can be simplified to a lot of small spherical snow particles with random orientation, and the average volume scattering coherence matrix is expressed as (8) over all possible angles θ, where P(θ) is the distribution function as (9).
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 ...
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
Jun 1, 2024 · Compared with traditional snow depth retrieval methods that rely on SLC data phase information, our method utilizes snow volume scattering signals. This shows an obvious advantage especially in solving the problem of snow depth retrieval in mountainous regions with thick snow.
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Jan 5, 2018 · Abstract. The spatial distribution of the snow water equivalent (SWE) of ground snow cover is one of the most important variables for understanding and simulating cold-region hydrological processes in high mountain areas.