Snow Surface

Snow surface research focuses on understanding snow's physical properties and its impact across various domains, from hydrology and avalanche safety to autonomous vehicle navigation and remote sensing. Current research employs machine learning algorithms, including convolutional neural networks (CNNs) like U-Net and Segformer, and autoencoders, to improve snow detection and classification in diverse data sources such as satellite imagery, drone footage, and even ski-mounted sensors. These advancements are crucial for enhancing water resource management, improving safety in challenging weather conditions, and advancing our understanding of snow's role in Earth's systems and beyond, including exoplanet studies. The development of robust datasets, like the Nordic Vehicle Dataset, is also a key area of focus to support the training and evaluation of these models.