This communication evaluates snow depth measurement biases in boreal forests and tundra, indicating challenges for remote sensing technologies.
We evaluated ground-penetrating radar (GPR) and airborne lidar retrievals of snow depth collected during the NASA SnowEx 2023 campaign in Alaskan tundra and boreal forest environments along 44 short (3–12 m) transects. Compared to in situ observations, we identified modest biases for GPR snow depths (bias <0.03 m in tundra, +0.06 m in boreal forests) and larger biases for lidar snow depths (bias +0.19 m at a tundra site, –0.16 m in boreal forests) related sub-snow vegetation, tussocks, and seasonally dynamic ground. These complex surface environments present a challenge to established methods, which needs to be considered when evaluating novel remote sensing approaches.
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Holland-Goon et al. (2025) studied this question.
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