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Snow science is in transition from interpolation of point samples to high resolution spatial measurement of snow properties from airborne and ground-based Lidar (TLS), digital photogrammetry and ground penetrating radar (GPR). New methodology has provided time-series detailed high-resolution (sub-meter scale) of snow depth and distribution over complex mountain regions from Lidar and photogrammetrically-derived structure from motion (SFM). Density and SWE can be derived from GPR, however GPR is more difficult to apply from an airborne or drone platform. In March of 2018 we undertook a field experiment over a 3-hectare snow-covered region near the headwaters of the San Joaquin basin in the southern Sierra Nevada, California, to compare carefully collected manual snow measurements to airborne and TLS Lidar, airborne and drone SFM, and a series of detailed GPR transects. In September 2018 …