Articles | Volume 15, issue 5
https://doi.org/10.5194/tc-15-2187-2021
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, Zachary Uhlmann, Nancy F. Glenn, Christopher A. Hiemstra, Christopher J. Tennant, Jake D. Graham, Lucas Spaete, Arthur Gelvin, Hans-Peter Marshall, James P. McNamara, and Josh Enterkine

Data sets

SnowEx17 Boise State University Terrestrial Laser Scanner (TLS) Point Cloud, Version 1, 2019 N. Glenn, L. Spaete, Z. Uhlmann, C. Merriman, A. Raymondi, and C. Tennant https://doi.org/10.5067/IWGD4WFMCQNW

SnowEx17 CRREL Terrestrial Laser Scanner (TLS) Point Cloud, Version 1 C. Hiemstra and A. B. Gelvin https://doi.org/10.5067/YOIPYEWCZOD5

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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.