Articles | Volume 15, issue 11
https://doi.org/10.5194/tc-15-5079-2021
© 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-15-5079-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article: Performance assessment of radiation-based field sensors for monitoring the water equivalent of snow cover (SWE)
Alain Royer
CORRESPONDING AUTHOR
Centre d'applications et de recherche en télédétection
(CARTEL), Université de Sherbrooke, Sherbrooke, Quebec, Canada
Centre d'études nordiques (CEN), Quebec, Canada
Alexandre Roy
Centre d'études nordiques (CEN), Quebec, Canada
Département des sciences de l'environnement, Université du
Québec à Trois-Rivières, Trois-Rivières, Quebec,
Canada
Sylvain Jutras
Département des sciences du bois et de la forêt,
Université Laval, Québec City, Quebec, Canada
Alexandre Langlois
Centre d'applications et de recherche en télédétection
(CARTEL), Université de Sherbrooke, Sherbrooke, Quebec, Canada
Centre d'études nordiques (CEN), Quebec, Canada
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Cited
14 citations as recorded by crossref.
- An Accuracy Assessment of Snow Depth Measurements in Agro-Forested Environments by UAV Lidar V. Dharmadasa et al. 10.3390/rs14071649
- Reviews and syntheses: Recent advances in microwave remote sensing in support of terrestrial carbon cycle science in Arctic–boreal regions A. Mavrovic et al. 10.5194/bg-20-2941-2023
- Expanding the range of snow water equivalent retrieval based on vertical combined GNSS receivers K. Wang et al. 10.1016/j.measurement.2025.117292
- Estimation of the Snow Water Equivalent Using Muon Scattering Radiography A. Orio‐Alonso et al. 10.1029/2023GL104128
- Influence of snow spatial variability on cosmic ray neutron snow water equivalent (SWE): case study in a northern prairie H. Kim et al. 10.5194/tc-19-3177-2025
- Monitoring snow water equivalent using the phase of RFID signals M. Le Breton et al. 10.5194/tc-17-3137-2023
- Comparison of Machine Learning-Based Snow Depth Estimates and Development of a New Operational Retrieval Algorithm over China J. Yang et al. 10.3390/rs14122800
- Topographic and vegetation controls of the spatial distribution of snow depth in agro-forested environments by UAV lidar V. Dharmadasa et al. 10.5194/tc-17-1225-2023
- The Dynamic Monitoring of River-Ice Thickness on the Qinghai–Tibet Plateau: Four-Dimensional Structure-from-Motion Photogrammetry Y. Fan et al. 10.3390/rs17162887
- Northern Hemisphere in situ snow water equivalent dataset (NorSWE, 1979–2021) C. Mortimer & V. Vionnet 10.5194/essd-17-3619-2025
- GNSS signal-based snow water equivalent determination for different snowpack conditions along a steep elevation gradient A. Capelli et al. 10.5194/tc-16-505-2022
- An agenda for the future of Arctic snow research: the view from Svalbard C. Zdanowicz et al. 10.33265/polar.v42.8827
- Recent Advances in Snow Monitoring from Local to Global Scales J. Revuelto et al. 10.1007/s40641-025-00207-0
- Snow water equivalent measurement in the Arctic based on cosmic ray neutron attenuation A. Jitnikovitch et al. 10.5194/tc-15-5227-2021
13 citations as recorded by crossref.
- An Accuracy Assessment of Snow Depth Measurements in Agro-Forested Environments by UAV Lidar V. Dharmadasa et al. 10.3390/rs14071649
- Reviews and syntheses: Recent advances in microwave remote sensing in support of terrestrial carbon cycle science in Arctic–boreal regions A. Mavrovic et al. 10.5194/bg-20-2941-2023
- Expanding the range of snow water equivalent retrieval based on vertical combined GNSS receivers K. Wang et al. 10.1016/j.measurement.2025.117292
- Estimation of the Snow Water Equivalent Using Muon Scattering Radiography A. Orio‐Alonso et al. 10.1029/2023GL104128
- Influence of snow spatial variability on cosmic ray neutron snow water equivalent (SWE): case study in a northern prairie H. Kim et al. 10.5194/tc-19-3177-2025
- Monitoring snow water equivalent using the phase of RFID signals M. Le Breton et al. 10.5194/tc-17-3137-2023
- Comparison of Machine Learning-Based Snow Depth Estimates and Development of a New Operational Retrieval Algorithm over China J. Yang et al. 10.3390/rs14122800
- Topographic and vegetation controls of the spatial distribution of snow depth in agro-forested environments by UAV lidar V. Dharmadasa et al. 10.5194/tc-17-1225-2023
- The Dynamic Monitoring of River-Ice Thickness on the Qinghai–Tibet Plateau: Four-Dimensional Structure-from-Motion Photogrammetry Y. Fan et al. 10.3390/rs17162887
- Northern Hemisphere in situ snow water equivalent dataset (NorSWE, 1979–2021) C. Mortimer & V. Vionnet 10.5194/essd-17-3619-2025
- GNSS signal-based snow water equivalent determination for different snowpack conditions along a steep elevation gradient A. Capelli et al. 10.5194/tc-16-505-2022
- An agenda for the future of Arctic snow research: the view from Svalbard C. Zdanowicz et al. 10.33265/polar.v42.8827
- Recent Advances in Snow Monitoring from Local to Global Scales J. Revuelto et al. 10.1007/s40641-025-00207-0
1 citations as recorded by crossref.
Latest update: 28 Oct 2025
Short summary
Dense spatially distributed networks of autonomous instruments for continuously measuring the amount of snow on the ground are needed for operational water resource and flood management and the monitoring of northern climate change. Four new-generation non-invasive sensors are compared. A review of their advantages, drawbacks and accuracy is discussed. This performance analysis is intended to help researchers and decision-makers choose the one system that is best suited to their needs.
Dense spatially distributed networks of autonomous instruments for continuously measuring the...