Snow Heterogeneity: Remote Sensing

This lecture explores the spatial variability of snow properties, including snow water equivalent, density, and depth. It delves into the physical processes behind snow heterogeneity, measurement techniques, and real-world examples. The impact of topography, vegetation, and weather on snow distribution is discussed, along with mechanisms at the snow-atmosphere interface. Remote sensing methods such as drones, ground penetrating radar, and aerial photography are highlighted for capturing snow data. Case studies from Switzerland and Davos demonstrate how heterogeneous snow cover affects melt timing and volume.