Articles | Volume 17, issue 3
https://doi.org/10.5194/tc-17-1225-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-1225-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Mar 2023
Research article |
| 14 Mar 2023
| 14 Mar 2023
Topographic and vegetation controls of the spatial distribution of snow depth in agro-forested environments by UAV lidar
Vasana Dharmadasa
CORRESPONDING AUTHOR
Department of Environmental Sciences, University of Québec at
Trois-Rivières, Trois-Rivières, QC G8Z 4M3, Canada
Center for Northern Studies (CEN), Québec City, QC GV1 0A6, Canada
Research Centre for Watershed–Aquatic Ecosystem Interactions (RIVE),
University of Québec at Trois-Rivières, Trois-Rivières, QC G8Z
4M3, Canada
CentrEau, the Québec Water Management Research Centre, Québec
City, QC GV1 0A6, Canada
Christophe Kinnard
Department of Environmental Sciences, University of Québec at
Trois-Rivières, Trois-Rivières, QC G8Z 4M3, Canada
Center for Northern Studies (CEN), Québec City, QC GV1 0A6, Canada
Research Centre for Watershed–Aquatic Ecosystem Interactions (RIVE),
University of Québec at Trois-Rivières, Trois-Rivières, QC G8Z
4M3, Canada
Michel Baraër
Department of Construction Engineering, École de technologie
supérieure, Montréal, QC H3C 1K3, Canada
CentrEau, the Québec Water Management Research Centre, Québec
City, QC GV1 0A6, Canada
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Cited
14 citations as recorded by crossref.
- A new interpolation method to resolve under-sampling of UAV-lidar snow depth observations in coniferous forests V. Dharmadasa et al. https://doi.org/10.1016/j.coldregions.2024.104134
- Applications of Snow-Covered Areas from Unoccupied Aerial Systems (UAS) Visible Imagery: A Demonstration in Southeastern New Hampshire J. Johnston et al. https://doi.org/10.3390/rs17111885
- How does a warm and low-snow winter impact the snow cover dynamics in a humid and discontinuous boreal forest? Insights from observations and modeling in eastern Canada B. Bouchard et al. https://doi.org/10.5194/hess-28-2745-2024
- How montane forests shape snow cover dynamics across the central European Alps V. Haagmans et al. https://doi.org/10.5194/hess-30-1691-2026
- Ensemble-based data assimilation improves hyperresolution snowpack simulations in forests E. Alonso-González et al. https://doi.org/10.5194/tc-20-209-2026
- MAPunet: High-resolution snow depth mapping through U-Net pixel-wise regression A. Betato et al. https://doi.org/10.1016/j.rsase.2025.101477
- Machine learning-based snow depth estimation in forested mountain environments using LiDAR and UAV RGB image-derived photogrammetric products K. Win et al. https://doi.org/10.1016/j.geomat.2026.100137
- Sentinel-1-Based Soil Freeze–Thaw Detection in Agro-Forested Areas: A Case Study in Southern Québec, Canada S. Taghipourjavi et al. https://doi.org/10.3390/rs16071294
- UAV LiDAR surveys and machine learning improve snow depth and water equivalent estimates in boreal landscapes M. Ylönen et al. https://doi.org/10.5194/tc-19-4585-2025
- Spatiotemporal dynamics and nonlinear associations of snow phenology with environmental factors in the forest-steppe ecotone of the Greater Khingan Mountains W. Zhang et al. https://doi.org/10.1016/j.ejrh.2026.103894
- Improved workflow for customized ICESat-2 ATL06 elevations captures seasonal mountain snow depths at sub-kilometer scale K. Zikan et al. https://doi.org/10.5194/tc-20-3051-2026
- Revealing the influence of topography and vegetation on hydrological processes using a stepwise modelling approach in cold alpine basins of the Mongolian Plateau L. Yong et al. https://doi.org/10.5194/hess-30-1585-2026
- Recent Advances in Snow Monitoring from Local to Global Scales J. Revuelto et al. https://doi.org/10.1007/s40641-025-00207-0
- Winter warming alters snow drought regimes and hydrological conditions: a case study from Türkiye H. Aslan et al. https://doi.org/10.1080/02626667.2026.2719888
14 citations as recorded by crossref.
- A new interpolation method to resolve under-sampling of UAV-lidar snow depth observations in coniferous forests V. Dharmadasa et al. https://doi.org/10.1016/j.coldregions.2024.104134
- Applications of Snow-Covered Areas from Unoccupied Aerial Systems (UAS) Visible Imagery: A Demonstration in Southeastern New Hampshire J. Johnston et al. https://doi.org/10.3390/rs17111885
- How does a warm and low-snow winter impact the snow cover dynamics in a humid and discontinuous boreal forest? Insights from observations and modeling in eastern Canada B. Bouchard et al. https://doi.org/10.5194/hess-28-2745-2024
- How montane forests shape snow cover dynamics across the central European Alps V. Haagmans et al. https://doi.org/10.5194/hess-30-1691-2026
- Ensemble-based data assimilation improves hyperresolution snowpack simulations in forests E. Alonso-González et al. https://doi.org/10.5194/tc-20-209-2026
- MAPunet: High-resolution snow depth mapping through U-Net pixel-wise regression A. Betato et al. https://doi.org/10.1016/j.rsase.2025.101477
- Machine learning-based snow depth estimation in forested mountain environments using LiDAR and UAV RGB image-derived photogrammetric products K. Win et al. https://doi.org/10.1016/j.geomat.2026.100137
- Sentinel-1-Based Soil Freeze–Thaw Detection in Agro-Forested Areas: A Case Study in Southern Québec, Canada S. Taghipourjavi et al. https://doi.org/10.3390/rs16071294
- UAV LiDAR surveys and machine learning improve snow depth and water equivalent estimates in boreal landscapes M. Ylönen et al. https://doi.org/10.5194/tc-19-4585-2025
- Spatiotemporal dynamics and nonlinear associations of snow phenology with environmental factors in the forest-steppe ecotone of the Greater Khingan Mountains W. Zhang et al. https://doi.org/10.1016/j.ejrh.2026.103894
- Improved workflow for customized ICESat-2 ATL06 elevations captures seasonal mountain snow depths at sub-kilometer scale K. Zikan et al. https://doi.org/10.5194/tc-20-3051-2026
- Revealing the influence of topography and vegetation on hydrological processes using a stepwise modelling approach in cold alpine basins of the Mongolian Plateau L. Yong et al. https://doi.org/10.5194/hess-30-1585-2026
- Recent Advances in Snow Monitoring from Local to Global Scales J. Revuelto et al. https://doi.org/10.1007/s40641-025-00207-0
- Winter warming alters snow drought regimes and hydrological conditions: a case study from Türkiye H. Aslan et al. https://doi.org/10.1080/02626667.2026.2719888
Saved (final revised paper)
Latest update: 03 Nov 2026
Short summary
This study highlights the successful usage of UAV lidar to monitor small-scale snow depth distribution. Our results show that underlying topography and wind redistribution of snow along forest edges govern the snow depth variability at agro-forested sites, while forest structure variability dominates snow depth variability in the coniferous environment. This emphasizes the importance of including and better representing these processes in physically based models for accurate snowpack estimates.
This study highlights the successful usage of UAV lidar to monitor small-scale snow depth...
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