
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
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?
On the web, you can also click on the map to see the current snow depth in centimeters at that point. On the app, you just press and hold the respective point in the map.
How snow depth is calculated
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
