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Total project duration:

3 Years

Sustainable snow production by means of area-wide snow depth determination

Greenski: Snow depth measurement for ski resorts, photo: JOANNEUM RESEARCH using AI

The project

Around 70% of European ski slopes are groomed with artificial snow. Until now, however, precise snow depth measurement covering an entire ski area has not been financially viable. The aim of the GreenSki research project is to develop a precise and cost-effective snow depth measurement system with high area coverage and daily updates so that ski resorts can base their technical snow production on robust forecasts. This minimises costs, resource consumption and carbon emissions for the ski resorts.

Our activities in the project

To achieve this goal, the project investigates the feasibility of an advanced observation technology based on machine learning (ML) algorithms using crowdsourced smartphone GNSS data from skiers in combination with interferometric Synthetic Aperture Radar (SAR) data from Sentinel-1A and ICEYE satellites.

The training and test data for the algorithms will be collected in the two ski resorts of Val d'Isere, France, and Kreischberg, Austria. The ultimate goal is to develop a new type of snow management platform that provides 3D snow terrain models.

The core innovation is our snow depth measurement solution for ski resorts, which offers a spatial vertical resolution in the range of 10 cm and a temporal resolution of 4-8 hours.

This project is a collaboration between the companies SkiBro and derstatistiker and JOANNEUM RESEARCH. SkiBro contributes its expertise in the ski and winter sports industry, derstatistiker specialises in the evaluation of statistical data, while JOANNEUM RESEARCH contributes its expertise in sensor data analysis.

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Project details

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Dr Roland Perko
Priv.-Doz. DI DI Dr.


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