The Cryosphere
The Cryosphere
TC
Articles | Volume 15, issue 5
Articles | Volume 15, issue 5
https://doi.org/10.5194/tc-15-2187-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-2187-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 5
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

Viewed

Total article views: 3,925 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,670 1,163 92 3,925 118 136
  • HTML: 2,670
  • PDF: 1,163
  • XML: 92
  • Total: 3,925
  • BibTeX: 118
  • EndNote: 136
Views and downloads (calculated since 23 Oct 2020)
Cumulative views and downloads (calculated since 23 Oct 2020)

Viewed (geographical distribution)

Total article views: 3,925 (including HTML, PDF, and XML) Thereof 3,779 with geography defined and 146 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 07 Nov 2025
Download
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.
Read more
Share