Snow/ice plays a crucial role in the Earth's radiation balance, hydrological cycle, and climate change (Warren, 1982;. Relative to other land covers, snow/ice surface is more sensitive to natural conditions (e.g., temperature, precipitation, and solar azimuth), and its reflective characteristics can change more quickly on the spatio-temporal scale (Diner et al., 1999). The development of satellite-terrestrial observation technology in the past several decades has made it possible to realize globally continuous monitoring and inversion of physical parameters of snow/ice. Satellite sensors measure reflected radiance only in some particular directions. However, snow/ice surface is a non-Lambertian surface, and it is unreasonable to depict the reflection characteristics of snow and ice using a single direction observation (Li & Zhou, 2002). To this end, the Bidirectional Reflectance Distribution Function (BRDF) which describes the angular pattern of reflective light within hemisphere space, has crucial meaning for monitoring snow/ice variation and improving inversion precision of its physical parameters (Hudson et al., 2006).Basically, field observation offers the most accurate ways for obtaining BRDF of snow/ice and provides the basis of validation in model simulation and remote sensing inversion (Jiao et al., 2019;Knap & Reijmer, 1998). The anisotropy of snow/ice is sensitivity to a wide range of factors, for example, snow/ice states (