Articles | Volume 15, issue 1
https://doi.org/10.5194/tc-15-69-2021
© Author(s) 2021. 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-15-69-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Jan 2021
Research article |
| 05 Jan 2021
| 05 Jan 2021
Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260,
Switzerland
Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, 8092,
Switzerland
Pascal Sirguey
National School of Surveying, University of Otago, P.O. Box 56, Dunedin,
New Zealand
Aubrey Miller
National School of Surveying, University of Otago, P.O. Box 56, Dunedin,
New Zealand
Mauro Marty
Swiss Federal Institute for Forest, Snow and Landscape Research WSL,
Birmensdorf, 8903, Switzerland
Konrad Schindler
Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich, 8092,
Switzerland
Andreas Stoffel
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260,
Switzerland
Yves Bühler
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260,
Switzerland
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Cited
38 citations as recorded by crossref.
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- The impact of terrain model source and resolution on snow avalanche modeling A. Miller et al. 10.5194/nhess-22-2673-2022
- Applicability of alpine snow depth estimation based on multitemporal UAV-LiDAR data: A case study in the Maxian Mountains, Northwest China T. Feng et al. 10.1016/j.jhydrol.2022.129006
- Spatiotemporal Variations in Liquid Water Content in a Seasonal Snowpack: Implications for Radar Remote Sensing R. Bonnell et al. 10.3390/rs13214223
- Uncertainty Analysis of Digital Elevation Models by Spatial Inference From Stable Terrain R. Hugonnet et al. 10.1109/JSTARS.2022.3188922
- A Time Series of Snow Density and Snow Water Equivalent Observations Derived From the Integration of GPR and UAV SfM Observations D. McGrath et al. 10.3389/frsen.2022.886747
- 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
- Snow depth mapping with unpiloted aerial system lidar observations: a case study in Durham, New Hampshire, United States J. Jacobs et al. 10.5194/tc-15-1485-2021
- Intercomparison of UAV platforms for mapping snow depth distribution in complex alpine terrain J. Revuelto et al. 10.1016/j.coldregions.2021.103344
- Monitoring snow depth variations in an avalanche release area using low-cost lidar and optical sensors P. Ruttner et al. 10.5194/nhess-25-1315-2025
- Snowfall deposition in mountainous terrain: a statistical downscaling scheme from high-resolution model data on simulated topographies N. Helbig et al. 10.3389/feart.2023.1308269
- Estimation of Spatial Snowpack Properties in a Snow-Avalanche Release Area: An Extreme Case on Mt. Nodanishoji, Japan, in 2021 Y. Katsuyama et al. 10.20965/jdr.2023.p0895
- A combined data assimilation and deep learning approach for continuous spatio-temporal SWE reconstruction from sparse ground tracks M. Guidicelli et al. 10.1016/j.hydroa.2024.100190
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- Measuring landslide-driven ground displacements with high-resolution surface models and optical flow E. Carle et al. 10.1016/j.cageo.2023.105378
- DEM Generation Incorporating River Channels in Data-Scarce Contexts: The “Fluvial Domain Method” J. Villanueva et al. 10.3390/hydrology12020033
- 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
- Intermediate snowpack melt-out dates guarantee the highest seasonal grasslands greening in the Pyrenees J. Revuelto et al. 10.1038/s41598-022-22391-x
- Mapping snow depth and spatial variability using SFM photogrammetry of UAV images over rugged mountainous regions of the Western Himalaya S. Dewali et al. 10.1080/10106049.2022.2127923
- Spatially continuous snow depth mapping by aeroplane photogrammetry for annual peak of winter from 2017 to 2021 in open areas L. Bührle et al. 10.5194/tc-17-3383-2023
- Six Consecutive Seasons of High‐Resolution Mountain Snow Depth Maps From Satellite Stereo Imagery J. Hu et al. 10.1029/2023GL104871
- MAPunet: High-resolution snow depth mapping through U-Net pixel-wise regression A. Betato et al. 10.1016/j.rsase.2025.101477
- Improving the Spatial Distribution of Snow Cover Simulations by Assimilation of Satellite Stereoscopic Imagery C. Deschamps‐Berger et al. 10.1029/2021WR030271
- A systematic literature review of low-cost 3D mapping solutions J. Balado et al. 10.1016/j.inffus.2024.102656
- Visual Interpretation of High-Resolution Aerial Imagery: A Tool for Land Managers B. Tangen et al. 10.3996/JFWM-23-048
- Fractional snow-covered area: scale-independent peak of winter parameterization N. Helbig et al. 10.5194/tc-15-615-2021
- Mapping snow depth and volume at the alpine watershed scale from aerial imagery using Structure from Motion J. Meyer et al. 10.3389/feart.2022.989792
- High-resolution hydrometeorological and snow data for the Dischma catchment in Switzerland J. Magnusson et al. 10.5194/essd-17-703-2025
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- Snow depth estimation at country-scale with high spatial and temporal resolution R. Daudt et al. 10.1016/j.isprsjprs.2023.01.017
- Marginal snowpacks: The basis for a global definition and existing research needs J. López-Moreno et al. 10.1016/j.earscirev.2024.104751
- Remote sensing of mountain snow from space: status and recommendations S. Gascoin et al. 10.3389/feart.2024.1381323
- Recent advances in the remote sensing of alpine snow: a review S. Awasthi & D. Varade 10.1080/15481603.2021.1946938
- Potential and challenges of depth-resolved three-dimensional MPM simulations: a case study of the 2019 ‘Salezer’ snow avalanche in Davos M. Kyburz et al. 10.1017/aog.2024.14
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- CrocO_v1.0: a particle filter to assimilate snowpack observations in a spatialised framework B. Cluzet et al. 10.5194/gmd-14-1595-2021
36 citations as recorded by crossref.
- Unprecedented Winter Rainfall Initiates Large Snow Avalanche and Mass Movement Cycle in New Zealand's Southern Alps/Kā Tiritiri o te Moana A. Miller et al. 10.1029/2022GL102105
- The impact of terrain model source and resolution on snow avalanche modeling A. Miller et al. 10.5194/nhess-22-2673-2022
- Applicability of alpine snow depth estimation based on multitemporal UAV-LiDAR data: A case study in the Maxian Mountains, Northwest China T. Feng et al. 10.1016/j.jhydrol.2022.129006
- Spatiotemporal Variations in Liquid Water Content in a Seasonal Snowpack: Implications for Radar Remote Sensing R. Bonnell et al. 10.3390/rs13214223
- Uncertainty Analysis of Digital Elevation Models by Spatial Inference From Stable Terrain R. Hugonnet et al. 10.1109/JSTARS.2022.3188922
- A Time Series of Snow Density and Snow Water Equivalent Observations Derived From the Integration of GPR and UAV SfM Observations D. McGrath et al. 10.3389/frsen.2022.886747
- 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
- Snow depth mapping with unpiloted aerial system lidar observations: a case study in Durham, New Hampshire, United States J. Jacobs et al. 10.5194/tc-15-1485-2021
- Intercomparison of UAV platforms for mapping snow depth distribution in complex alpine terrain J. Revuelto et al. 10.1016/j.coldregions.2021.103344
- Monitoring snow depth variations in an avalanche release area using low-cost lidar and optical sensors P. Ruttner et al. 10.5194/nhess-25-1315-2025
- Snowfall deposition in mountainous terrain: a statistical downscaling scheme from high-resolution model data on simulated topographies N. Helbig et al. 10.3389/feart.2023.1308269
- Estimation of Spatial Snowpack Properties in a Snow-Avalanche Release Area: An Extreme Case on Mt. Nodanishoji, Japan, in 2021 Y. Katsuyama et al. 10.20965/jdr.2023.p0895
- A combined data assimilation and deep learning approach for continuous spatio-temporal SWE reconstruction from sparse ground tracks M. Guidicelli et al. 10.1016/j.hydroa.2024.100190
- Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data C. Deschamps-Berger et al. 10.5194/tc-17-2779-2023
- Measuring landslide-driven ground displacements with high-resolution surface models and optical flow E. Carle et al. 10.1016/j.cageo.2023.105378
- DEM Generation Incorporating River Channels in Data-Scarce Contexts: The “Fluvial Domain Method” J. Villanueva et al. 10.3390/hydrology12020033
- 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
- Intermediate snowpack melt-out dates guarantee the highest seasonal grasslands greening in the Pyrenees J. Revuelto et al. 10.1038/s41598-022-22391-x
- Mapping snow depth and spatial variability using SFM photogrammetry of UAV images over rugged mountainous regions of the Western Himalaya S. Dewali et al. 10.1080/10106049.2022.2127923
- Spatially continuous snow depth mapping by aeroplane photogrammetry for annual peak of winter from 2017 to 2021 in open areas L. Bührle et al. 10.5194/tc-17-3383-2023
- Six Consecutive Seasons of High‐Resolution Mountain Snow Depth Maps From Satellite Stereo Imagery J. Hu et al. 10.1029/2023GL104871
- MAPunet: High-resolution snow depth mapping through U-Net pixel-wise regression A. Betato et al. 10.1016/j.rsase.2025.101477
- Improving the Spatial Distribution of Snow Cover Simulations by Assimilation of Satellite Stereoscopic Imagery C. Deschamps‐Berger et al. 10.1029/2021WR030271
- A systematic literature review of low-cost 3D mapping solutions J. Balado et al. 10.1016/j.inffus.2024.102656
- Visual Interpretation of High-Resolution Aerial Imagery: A Tool for Land Managers B. Tangen et al. 10.3996/JFWM-23-048
- Fractional snow-covered area: scale-independent peak of winter parameterization N. Helbig et al. 10.5194/tc-15-615-2021
- Mapping snow depth and volume at the alpine watershed scale from aerial imagery using Structure from Motion J. Meyer et al. 10.3389/feart.2022.989792
- High-resolution hydrometeorological and snow data for the Dischma catchment in Switzerland J. Magnusson et al. 10.5194/essd-17-703-2025
- A snow depth estimation method with LiDAR system in snow groomer Q. Jiao et al. 10.1016/j.coldregions.2025.104462
- Automated avalanche hazard indication mapping on a statewide scale Y. Bühler et al. 10.5194/nhess-22-1825-2022
- Hydraulic analysis of flash flood events using UAV based topographic data and citizen science in Enkare Narok river basin D. Gitundu et al. 10.1016/j.rsase.2023.100977
- Snow depth estimation at country-scale with high spatial and temporal resolution R. Daudt et al. 10.1016/j.isprsjprs.2023.01.017
- Marginal snowpacks: The basis for a global definition and existing research needs J. López-Moreno et al. 10.1016/j.earscirev.2024.104751
- Remote sensing of mountain snow from space: status and recommendations S. Gascoin et al. 10.3389/feart.2024.1381323
- Recent advances in the remote sensing of alpine snow: a review S. Awasthi & D. Varade 10.1080/15481603.2021.1946938
- Potential and challenges of depth-resolved three-dimensional MPM simulations: a case study of the 2019 ‘Salezer’ snow avalanche in Davos M. Kyburz et al. 10.1017/aog.2024.14
2 citations as recorded by crossref.
- 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
- CrocO_v1.0: a particle filter to assimilate snowpack observations in a spatialised framework B. Cluzet et al. 10.5194/gmd-14-1595-2021
Latest update: 06 May 2025
Short summary
In spring 2018 in the alpine Dischma valley (Switzerland), we tested different industrial photogrammetric platforms for snow depth mapping. These platforms were high-resolution satellites, an airplane, unmanned aerial systems and a terrestrial system. Therefore, this study gives a general overview of the accuracy and precision of the different photogrammetric platforms available in space and on earth and their use for snow depth mapping.
In spring 2018 in the alpine Dischma valley (Switzerland), we tested different industrial...
