Articles | Volume 12, issue 11
https://doi.org/10.5194/tc-12-3477-2018
© Author(s) 2018. 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-12-3477-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Nov 2018
Research article |
| 08 Nov 2018
| 08 Nov 2018
Repeat mapping of snow depth across an alpine catchment with RPAS photogrammetry
Todd A. N. Redpath
CORRESPONDING AUTHOR
Department of Geography, University of Otago, Dunedin, 9016, New
Zealand
National School of Surveying, University of Otago, Dunedin, 9016, New
Zealand
Pascal Sirguey
National School of Surveying, University of Otago, Dunedin, 9016, New
Zealand
Nicolas J. Cullen
Department of Geography, University of Otago, Dunedin, 9016, New
Zealand
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Cited
18 citations as recorded by crossref.
- The Utility of Optical Satellite Winter Snow Depths for Initializing a Glacio‐Hydrological Model of a High‐Elevation, Andean Catchment T. Shaw et al. 10.1029/2020WR027188
- Light and Shadow in Mapping Alpine Snowpack With Unmanned Aerial Vehicles in the Absence of Ground Control Points J. Revuelto et al. 10.1029/2020WR028980
- The impact of terrain model source and resolution on snow avalanche modeling A. Miller et al. 10.5194/nhess-22-2673-2022
- Assessing the seasonal evolution of snow depth spatial variability and scaling in complex mountain terrain Z. Miller et al. 10.5194/tc-16-4907-2022
- Consumer‐grade UAV solid‐state LiDAR accurately quantifies topography in a vegetated fluvial environment C. MacDonell et al. 10.1002/esp.5608
- UAV hyperspectral imaging for multiscale assessment of Landsat 9 snow grain size and albedo S. Skiles et al. 10.3389/frsen.2022.1038287
- Mapping Glacier Ablation With a UAV in the North Cascades: A Structure-from-Motion Approach S. Healy & A. Khan 10.3389/frsen.2021.764765
- Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping L. Eberhard et al. 10.5194/tc-15-69-2021
- Application of Fixed-Wing UAV-Based Photogrammetry Data for Snow Depth Mapping in Alpine Conditions M. Masný et al. 10.3390/drones5040114
- Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data C. Deschamps-Berger et al. 10.5194/tc-14-2925-2020
- Factors Influencing the Accuracy of Shallow Snow Depth Measured Using UAV-Based Photogrammetry S. Lee et al. 10.3390/rs13040828
- Characterising spatio-temporal variability in seasonal snow cover at a regional scale from MODIS data: the Clutha Catchment, New Zealand T. Redpath et al. 10.5194/hess-23-3189-2019
- Radar measurements of blowing snow off a mountain ridge B. Walter et al. 10.5194/tc-14-1779-2020
- Differential effects of topography on the timing of the growing season in mountainous grassland ecosystems X. Hua et al. 10.1016/j.envadv.2022.100234
- Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 2: Snow processes and snow–canopy interactions L. Meriö et al. 10.5194/tc-17-4363-2023
- Spatial controls on the distribution and dynamics of a marginal snowpack in the Australian Alps S. Bilish et al. 10.1002/hyp.13435
- Structure from Motion of Multi-Angle RPAS Imagery Complements Larger-Scale Airborne Lidar Data for Cost-Effective Snow Monitoring in Mountain Forests P. Broxton & W. van Leeuwen 10.3390/rs12142311
- Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 1: Measurements, processing, and accuracy assessment A. Rauhala et al. 10.5194/tc-17-4343-2023
18 citations as recorded by crossref.
- The Utility of Optical Satellite Winter Snow Depths for Initializing a Glacio‐Hydrological Model of a High‐Elevation, Andean Catchment T. Shaw et al. 10.1029/2020WR027188
- Light and Shadow in Mapping Alpine Snowpack With Unmanned Aerial Vehicles in the Absence of Ground Control Points J. Revuelto et al. 10.1029/2020WR028980
- The impact of terrain model source and resolution on snow avalanche modeling A. Miller et al. 10.5194/nhess-22-2673-2022
- Assessing the seasonal evolution of snow depth spatial variability and scaling in complex mountain terrain Z. Miller et al. 10.5194/tc-16-4907-2022
- Consumer‐grade UAV solid‐state LiDAR accurately quantifies topography in a vegetated fluvial environment C. MacDonell et al. 10.1002/esp.5608
- UAV hyperspectral imaging for multiscale assessment of Landsat 9 snow grain size and albedo S. Skiles et al. 10.3389/frsen.2022.1038287
- Mapping Glacier Ablation With a UAV in the North Cascades: A Structure-from-Motion Approach S. Healy & A. Khan 10.3389/frsen.2021.764765
- Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping L. Eberhard et al. 10.5194/tc-15-69-2021
- Application of Fixed-Wing UAV-Based Photogrammetry Data for Snow Depth Mapping in Alpine Conditions M. Masný et al. 10.3390/drones5040114
- Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data C. Deschamps-Berger et al. 10.5194/tc-14-2925-2020
- Factors Influencing the Accuracy of Shallow Snow Depth Measured Using UAV-Based Photogrammetry S. Lee et al. 10.3390/rs13040828
- Characterising spatio-temporal variability in seasonal snow cover at a regional scale from MODIS data: the Clutha Catchment, New Zealand T. Redpath et al. 10.5194/hess-23-3189-2019
- Radar measurements of blowing snow off a mountain ridge B. Walter et al. 10.5194/tc-14-1779-2020
- Differential effects of topography on the timing of the growing season in mountainous grassland ecosystems X. Hua et al. 10.1016/j.envadv.2022.100234
- Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 2: Snow processes and snow–canopy interactions L. Meriö et al. 10.5194/tc-17-4363-2023
- Spatial controls on the distribution and dynamics of a marginal snowpack in the Australian Alps S. Bilish et al. 10.1002/hyp.13435
- Structure from Motion of Multi-Angle RPAS Imagery Complements Larger-Scale Airborne Lidar Data for Cost-Effective Snow Monitoring in Mountain Forests P. Broxton & W. van Leeuwen 10.3390/rs12142311
- Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 1: Measurements, processing, and accuracy assessment A. Rauhala et al. 10.5194/tc-17-4343-2023
Latest update: 29 May 2025
Short summary
A remotely piloted aircraft system (RPAS) is evaluated for mapping seasonal snow depth across an alpine basin. RPAS photogrammetry performs well at providing maps of snow depth at high spatial resolution, outperforming field measurements for resolving spatial variability. Uncertainty and error analysis reveal limitations and potential pitfalls of photogrammetric surface-change analysis. Ultimately, RPAS can be a useful tool for understanding snow processes and improving snow modelling efforts.
A remotely piloted aircraft system (RPAS) is evaluated for mapping seasonal snow depth across an...
