SnowAI – AI for Snow in a Changing Climate
SnowAI develops new ways to map and predict snow depth and Snow Water Equivalent (SWE) in Western Norway using Geospatial Artificial Intelligence (GeoAI). The project combines dense time series of optical and radar satellite images with meteorological data, snow pits, UAV surveys and an Internet-of-Things sensor network. By training deep-learning models on these data, SnowAI will deliver weekly, 10 m resolution maps of snow depth and snowpack properties that capture how snow varies across complex mountain terrain. These products will be used with partners in hydropower, avalanche forecasting, ecology and winter tourism to understand how changing snow conditions affect water resources, infrastructure, ecosystems and outdoor activities, and to support adaptation planning in a warming climate.
CO-INVENT – A Collaborative Study of Cryo-Climatology in the Glaciated Himalayan Region
CO-INVENT is a joint initiative between the University of Bergen, and the Indian universities of IIT Roorkee and Jawaharlal Nehru University. It is designed to build long-term research and education collaboration on the Himalayan cryosphere with an emphasis on student and staff collaboration. The project has a focus on integrating satellite remote sensing, machine learning and process-based modelling with field observations to map glaciers, snow, permafrost and related hazards across the Indian Himalaya through both research collaboration but also student theses and summer schools.
Alongside the scientific work, CO-INVENT places strong emphasis on training and capacity building. The project develops shared teaching modules on remote sensing and AI for cryosphere studies, organises winter and summer schools in India and Norway, and supports two-way mobility for MSc and PhD students. The aim is to co-produce new knowledge on cryospheric change and its consequences for water resources and hazards, while equipping a new generation of Indian and Norwegian