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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...
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Jul 10, 2017 · Both found reductions in transmission of >80% at all wavelengths by a depth of 2 cm in the snow columns, i.e. >80% of the signal in those wavelengths is reflected by the snow volume before reaching 2 cm depth.
- Jeffrey S. Deems, Thomas H. Painter, David C. Finnegan
- 2013
Snow depth (SD) is a critical parameter for characterizing snow and indicating its variation (Tedesco et al., 2015). The expeditious and dependable retrieval of SD is highly appealing for comprehending environmental change, climate variability, the hydrological cycle, and disaster prediction.
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)) .
Jul 1, 2021 · 9284 Accesses. 72 Citations. 8 Altmetric. Metrics. Abstract. We describe the Northern Hemisphere terrestrial snow water equivalent (SWE) time series covering 1979–2018, containing daily, monthly...
- Kari Luojus, Jouni Pulliainen, Matias Takala, Juha Lemmetyinen, Colleen Mortimer, Chris Derksen, Law...
- 2021
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 · Research Articles. Estimation and Analysis of Snow Water Equivalents Based on C-Band SAR Data and Field Measurements. Shaobo Sun. , Tao Che. , Jian Wang. , Hongyi Li. , Xiaohua Hao. , Zengyan Wang. & show all. Pages 313-326 | Accepted 01 Oct 2014, Published online: 05 Jan 2018. Cite this article. https://doi.org/10.1657/AAAR00C-13-135.