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  1. 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...

    • Hans Lievens, Hans Lievens, Matthias Demuzere, Matthias Demuzere, Hans-Peter Marshall, Hans-Peter Ma...
    • 2019
  2. Snow depth (SD) is a crucial property of snow, its spatial and temporal variation is important for global change, snowmelt runoff simulation, disaster prediction, and freshwater storage estimation. Polarimetric Synthetic Aperture Radar (PolSAR) can precisely describe the backscattering of the target and emerge as an effective tool for SD retrieval.

  3. Jul 10, 2017 · An understanding of the sensitivity of the light transmission and absorption at common lidar wavelengths to snow grain size and snow liquid water content is important for an assessment of the contribution of laser interaction with the snow surface to the uncertainties in snow-depth retrievals.

    • Jeffrey S. Deems, Thomas H. Painter, David C. Finnegan
    • 2013
    • does snow volume scattering affect snow depth of snow depth1
    • does snow volume scattering affect snow depth of snow depth2
    • does snow volume scattering affect snow depth of snow depth3
    • does snow volume scattering affect snow depth of snow depth4
    • does snow volume scattering affect snow depth of snow depth5
  4. 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.

  5. Apr 8, 2022 · Snow is a crucial element in the Earth’s system, but snow depth and mass are very challenging to be measured globally. Here, we provide the theoretical foundation for deriving snow depth directly from space-borne lidar (ICESat-2) snow multiple scattering measurements for the first time.

  6. It has been shown that the directly retrieved snow depths achieved by applying this simple relationship to the multiple scattering signals of ICESat-2 lidar measurements agree reasonably well with aircraft-based snow depth measurements (Lu et al., 2022).

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  8. For a shallow and dry snow cover with the SWE less than 20 cm at C-band (5.3 GHz, 5.6 cm), there is negligible volume scattering because the snow volume acts as a transparent medium for microwave at these wavelengths (Bernier Citation 1987).

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