01

Measure during the work already happening

SnowLab began in 2017 at Andorra Research + Innovation. During the 2019–20 season, a groomer at Grau Roig carried a high-precision GNSS receiver. Comparing the machine’s measured position with the underlying terrain makes it possible to estimate the thickness of the snow it is crossing.

A later installation at Pal sent information to a server and a control platform. The research also explored drone and laser surveying. EPS Works and the researchers developed Snowplanner Command to bring measurements into the daily decisions of a ski area.

02

Make uneven conditions legible

The useful idea is to put observation inside an existing routine. A machine already travelling across the slope can contribute to a map rather than leave only a finished surface behind. Operators can then distinguish a place that needs attention from one that merely looks similar.

This does not make snowmaking impact-free. It creates a better basis for deciding where to groom, move or produce snow. Any claim about lower water or energy use needs before-and-after operational evidence.

Sources (2)
  1. Andorra Research + Innovation · SnowLab trials and development
  2. Snowplanner · Snow-depth maps and operational tools
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