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

Data sets

SnowEx23 Airborne Lidar-Derived 0.25M Snow Depth and Canopy Height, (SNEX23_Lidar, Version 1) C. Larsen https://doi.org/10.5067/BV4D8RRU1H7U

SnowEx23 Mar22 IOP Snow Depth Measurements, (SNEX23_MAR22_SD, Version 1) L. May et al. https://doi.org/10.5067/086OMZDJP2W6

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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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