Articles | Volume 19, issue 9
https://doi.org/10.5194/tc-19-3477-2025
https://doi.org/10.5194/tc-19-3477-2025
Research article
 | 
04 Sep 2025
Research article |  | 04 Sep 2025

Analyzing vegetation effects on snow depth variability in Alaska's boreal forests with airborne lidar

Lora D. May, Svetlana L. Stuefer, Scott D. Goddard, and Christopher F. Larsen

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Short summary
We contribute to limited boreal forest snow remote sensing research by analyzing field snow depth and airborne lidar data. Two new lidar snow depth and canopy height products are evaluated for application at a boreal forest site in Alaska. Our results show that airborne lidar can effectively estimate snow depths in the boreal forest, should be validated and assessed for errors using ground-based measurements, and can assist water and resource managers in estimating snow depth in boreal forests.
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