Articles | Volume 18, issue 11
https://doi.org/10.5194/tc-18-5465-2024
https://doi.org/10.5194/tc-18-5465-2024
Research article
 | 
26 Nov 2024
Research article |  | 26 Nov 2024

Multitemporal UAV lidar detects seasonal heave and subsidence on palsas

Cas Renette, Mats Olvmo, Sofia Thorsson, Björn Holmer, and Heather Reese

Data sets

Dataset for: 'Multitemporal UAV LiDAR detects seasonal heave and subsidence on palsas' (Renette et al., 2024) V1.0 Cas Renette https://doi.org/10.5281/zenodo.10497094

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Short summary
We used a drone to monitor seasonal changes in the height of subarctic permafrost mounds (palsas). With five drone flights in 1 year, we found a seasonal fluctuation of ca. 15 cm as a result of freeze–thaw cycles. On one mound, a large area sank down between each flight as a result of permafrost thaw. The approach of using repeated high-resolution scans from such a drone is unique for such environments and highlights its effectiveness in capturing the subtle dynamics of permafrost landscapes.