Sensors
Machine Learning Approach for Snow Depth Estimation from Temperature Sensors Demonstrates Effectiveness
Research conducted at Syracuse University has employed a machine learning approach to estimate snow depth from temperature sensors in a remote forested watershed in the Adirondack Mountains, New York. The study found that vertical temperature sensor profiles can accurately infer snow depth with a root mean squared error (RMSE) between