Snow Grain Size Mapping using Hyperspectral Remote Sensing Data

Snow grain size plays a crucial role in various snowpack processes, including snowmelt, avalanche formation, and water resource management. Traditionally, measuring snow grain size has been a challenging task due to its spatial variability and the limitations of ground-based methods. However, recent advancements in remote sensing technology, particularly hyperspectral remote sensing, offer promising opportunities for mapping snow grain size over large areas with improved accuracy and efficiency.

This description outlines a study focused on utilizing hyperspectral remote sensing data for mapping snow grain size across snow-covered landscapes. Hyperspectral sensors capture a wide range of spectral bands, allowing for the characterization of subtle variations in snow properties, including grain size. By analysing the reflectance spectra of snow in multiple wavelengths, researchers can extract valuable information related to snow grain size distribution.