Articles | Volume 15, issue 5
The Cryosphere, 15, 2187–2209, 2021
https://doi.org/10.5194/tc-15-2187-2021
The Cryosphere, 15, 2187–2209, 2021
https://doi.org/10.5194/tc-15-2187-2021
Research article
06 May 2021
Research article | 06 May 2021

Tree canopy and snow depth relationships at fine scales with terrestrial laser scanning

Ahmad Hojatimalekshah et al.

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Cited articles

Bewley, D., Alila, Y., and Varhola, A.: Variability of snow water equivalent and snow energetics across a large catchment subject to Mountain Pine Beetle infestation and rapid salvage logging, J. Hydrol., 388, 464–479, https://doi.org/10.1016/j.jhydrol.2010.05.031, 2010. 
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Clawges, R., Vierling, K., Vierling, L., and Rowell, E.: The use of airborne lidar to assess avian species diversity, density, and occurrence in a pine/aspen forest, Remote Sens. Environ., 112, 2064–2073, https://doi.org/10.1016/j.rse.2007.08.023, 2008. 
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Short summary
We describe the relationships between snow depth, vegetation canopy, and local-scale processes during the snow accumulation period using terrestrial laser scanning (TLS). In addition to topography and wind, our findings suggest the importance of fine-scale tree structure, species type, and distributions on snow depth. Snow depth increases from the canopy edge toward the open areas, but wind and topographic controls may affect this trend. TLS data are complementary to wide-area lidar surveys.