WSL Institute for Snow and Avalanche Research SLF

New theory for rapid measurement of snow density

The SLF has developed a basis for measuring snow density using infrared light, with implications for climate and avalanche research. It will also enable more precise data from remote sensing, even in the case of satellite measurements. 

  • Faster measurement: Snow density can be determined precisely and time-efficiently using near-infrared light.
  • Wide range of applications: Snow density is a key parameter for avalanche, climate and flood models.
  • Greater precision: The SLF theory will improve remote sensing of snow and ice by satellite.
A person in a red jacket and black beanie is positioned beside a snow pit, connecting a device to a black box. Snow-covered mountains rise in the background. The scene captures research or measurement activities in a winter landscape.
Lars Mewes taking measurements with a prototype of the Snowimager. (Photo: Bruno Augsburger)

Researchers at the WSL Institute for Snow and Avalanche Research (SLF) have developed the theoretical basis for a new method for determining snow density. "This is a key parameter in fields such as climate science and flood and avalanche forecasting," says SLF researcher Lars Mewes. Until now, though, determining the density of the snowpack layer by layer has been a laborious process. The new technique saves time and is also precise. Using the SnowImager developed at the SLF, it creates a high-resolution profile of the snowpack density, based on the scattering of near-infrared light within the snowpack.

 

From snow research to satellites

Mewes envisages other applications for his work beyond snow research: because his theory broadens our understanding of how light is scattered beneath the surface of objects, others can also benefit from his approach, explains the researcher. "In remote sensing, right through to satellite measurements, it's important to know how light is scattered beneath surfaces."

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