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Photo: ExoLabs

Snow Depth

If you enjoy snow, the snow depth and snow cover maps provide information about where and how much of it you will currently find on your trip. Using high-resolution satellite images and ground measurements, we show you what to expect when planning your trips. 


Current snow depth

Photo: ExoLabs

For many users, the height of the snowpack is of great importance, as it determines the choice of activity and the equipment needed. To model the snow depth in the best possible way, ExoLabs uses the measured snow depths from measuring stations. With the help of geostatistical methods, which take into account local as well as regional differences in snow distribution, the spatial snow distribution can then be modeled. Topographic influences on snow distribution are also taken into account such as a steep slope which can carry a lower snow load than a topographic depression.

The resulting daily snow depth thus takes into account the main influences on snow distribution and represents them at a 20 m areal resolution. When interpreting the data, it is important to understand that these figures represent an average value for the immediate area. There can be a great deal of local variation in the snowpack which cannot be captured in detail at the 20 m resolution. This means that the depth given given uses an approximate average value for this area.


Where do you find the Snow Depth map?

As a Pro+ user, you will find the snow depth map for Outdooractive and OpenStreetMap map under the "Weather & climate" map style. Simply click on the 'Maps and Trails' button on the bottom right of the map screen. You can activate the snow depth map on the right in almost all map views when planning your trips. You can activate the Avalanche Report as an 'additional layer' at the same time to provide you with all the data you need in one go. 

On the web, you can also click on the map to see the current snow depth in centimeters at that point.


How snow depth is calculated

Snow can be a huge source of fun, but it can also bring many dangers, and while some might be on the lookout for the best snow conditions, such as ski tourers, others will prefer to avoid it altogether, like mountain bikers. To gain a comprehensive overview of snow conditions, ExoLabs has developed an innovative solution based on satellite data and ground measurements.

Satellite data enables up-to-date mapping of snow cover across an entire mountain range. ExoLabs uses data provided by satellites from both NASA and the ESA that is then converted to create a high temporal and spatial resolution of the snow layer. This map is updated daily and is accurate to within 20 meters (with individual image pixels corresponding to an area of 20 x 20 meters).

As transmission, processing, and analysis of satellite images can take up to 24 hours, our daily snow layer most closely matches the conditions of the previous day, and cloud cover is a critical limitation to the unobstructed view of the satellites. To fill these data gaps, ExoLabs uses information from the most recent cloud-free satellite imagery as well as imagery of the immediate neighborhood to best model the spatial snow distribution. It should be emphasized here that prolonged periods of overcast weather can lead to larger uncertainties in snow cover. The last direct observation may vary in age depending on the geographic area. In very densely forested regions, snow on the ground may be masked by a snow-free canopy.


ExoLabs

Linked to the University of Zurich, ExoLabs specializes in environmental monitoring. Using satellite data as well as weather and climate models, and modern machine learning techniques, ExoLabs is able to gain a comprehensive insight into the condition of our environment. This valuable information is then presented in a user-friendly format in order to facilitate informed and sustainable decision-making.

 

The snow height maps were developed and piloted as part of a project supported by ESA Space Solution


Recommended reading

  • Snow
  • The Avalanche Report
  • The ATHM
  • Weather
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