1. Could you tell us more about yourself?
I am a researcher working at the Eurac Research in Bolzano/Bozen, Italy. I got a Ph.D. in remote sensing after having completed my university studies in telecommunication engineering. My research focus is on the analysis of multi-source and multi-temporal remote sensing data for monitoring the alpine cryosphere. In my spare time, I enjoy being in the mountain climbing, skiing or simply hiking with my friends.
2. What is your role in PROSNOW?
Together with Claudia Notarnicola and Valentina Premier, I’m in charge of the data collection, preparation, and management for the snow simulations. Moreover, we oversee the validation of the hindcast snow simulations using remote sensing data. In particular, by exploiting state-of-the-art machine learning techniques, we derived snow cover maps from high-resolution Copernicus Sentinel-2 data in areas with low uncertainty to be used as reference snow cover maps for the validation activities.
3. What are your expectations regarding PROSNOW?
PROSNOW can be a game-changer for all the ski resorts that would like to increase their efficiency in terms of saving water and energy in snow production. This will make the winter recreational activities more sustainable and allow the local development of disadvantaged mountainous areas in a climate change-influenced environment.