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Wet snow detection by C-band SAR in avalanche forecasting

机译:雪崩预报中C波段saR的湿雪探测

摘要

Avalanches usually occur in steep, snow-covered mountain sides under special conditions. The stability of the snowpack depends, among other things, on the melting and freezing of the snowpack. If a snow covered area has not undergone a melt/freeze-process, it could potentially be unstable due to depth hoar or buried layers of frost, and therefore pose an avalanche risk if the area is located at a steep enough mountain side. Additionally, when the snow has been wet early in the winter, it can form a frozen crust later. This crust could constitute the sliding layer when large amounts of new snow accumulates, but the same crust could also contribute to forming unstable layers in the snow by acting as a lid and trapping water vapor from the bottom of the snowpack. These mechanisms are important for avalanche buildup, and improved information from remote sensing could be valuable for avalanche forecasting. C-band SAR can be used to detect wet snow. Time series of maps with detected wet snow can be made by combining SAR data from periods of melting snow with reference SAR data from a period of dry snow. Since wet snow absorbs radar waves, one can detect wet snow by a scattering coefficient reduction of -3dB or more.A pattern was found in four of the seven avalanche events studied, which might be used to predict future avalanches.
机译:在特殊条件下,雪崩通常发生在陡峭,积雪覆盖的山区。积雪的稳定性尤其取决于积雪的融化和冻结。如果积雪覆盖的区域没有经过融化/冻结过程,则可能由于深度灰白或霜冻掩埋而变得不稳定,因此,如果该区域位于足够陡峭的山坡上,则会雪崩。另外,当雪在冬天初湿时,稍后会形成结冰的外壳。当大量新雪积聚时,该硬皮可能构成滑动层,但是同一硬皮也可以充当雪盖并从积雪的底部捕获水蒸气,从而有助于在雪中形成不稳定的层。这些机制对于雪崩积累很重要,而来自遥感的改进信息对于雪崩预测可能是有价值的。 C波段SAR可用于检测湿雪。可以通过将融雪期间的SAR数据与干燥雪时期的参考SAR数据组合在一起,来确定检测到的湿雪的地图时间序列。由于湿雪吸收了雷达波,因此可以通过降低-3dB或更多的散射系数来检测湿雪。在研究的七个雪崩事件中有四个雪崩事件中发现了一种模式,可以用来预测未来的雪崩。

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  • 作者

    Hopsø Ingrid Strømsvik;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 eng
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