Articles | Volume 17, issue 5
https://doi.org/10.5194/tc-17-1997-2023
© 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-17-1997-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 May 2023
Research article |
| 12 May 2023
| 12 May 2023
Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR)
Graduate Program of Hydrologic Sciences, University of Nevada, Reno, Reno, NV, USA
Department of Geography, University of Nevada, Reno, Reno, NV, USA
Ryan W. Webb
Department of Civil and Architectural Engineering and Construction Management, University of Wyoming, Laramie, WY, USA
Hans-Peter Marshall
Department of Geosciences, Boise State University, Boise, ID, USA
Anne W. Nolin
Department of Geography, University of Nevada, Reno, Reno, NV, USA
Graduate Program of Hydrologic Sciences, University of Nevada, Reno, Reno, NV, USA
Franz J. Meyer
Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK, USA
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Cited
15 citations as recorded by crossref.
- Investigating the Impact of Optical Snow Cover Data on L-Band InSAR Snow Water Equivalent Retrievals J. Tarricone et al. 10.34133/remotesensing.0682
- C-Band Radar-Based Improved Snow Depth Estimation (C-RISE) in the Indian Western Himalayas and Colorado Rocky Mountains R. Chandra Prabha et al. 10.1109/JSTARS.2025.3563462
- Comparing InSAR Snow Water Equivalent Retrieval Using ALOS2 With In Situ Observations and SnowModel Over the Boreal Forest Area J. Jorge Ruiz et al. 10.1109/TGRS.2024.3439855
- Evaluating L-band InSAR snow water equivalent retrievals with repeat ground-penetrating radar and terrestrial lidar surveys in northern Colorado R. Bonnell et al. 10.5194/tc-18-3765-2024
- Remote sensing of mountain snow from space: status and recommendations S. Gascoin et al. 10.3389/feart.2024.1381323
- Aspect controls on the spatial redistribution of snow water equivalence through the lateral flow of liquid water in a subalpine catchment K. Mooney & R. Webb 10.5194/tc-19-2507-2025
- Evaluating snow depth retrievals from Sentinel-1 volume scattering over NASA SnowEx sites Z. Hoppinen et al. 10.5194/tc-18-5407-2024
- Recent Advances in Snow Monitoring from Local to Global Scales J. Revuelto et al. 10.1007/s40641-025-00207-0
- Snow water equivalent retrieval over Idaho – Part 2: Using L-band UAVSAR repeat-pass interferometry Z. Hoppinen et al. 10.5194/tc-18-575-2024
- Assessment of L-band InSAR snow estimation techniques over a shallow, heterogeneous prairie snowpack R. Palomaki & E. Sproles 10.1016/j.rse.2023.113744
- Assimilation of L-band interferometric synthetic aperture radar (InSAR) snow depth retrievals for improved snowpack quantification P. Shrestha & A. Barros 10.5194/tc-19-2895-2025
- Characterization of non-Gaussianity in the snow distributions of various landscapes N. Ohara et al. 10.5194/tc-18-5139-2024
- Snow water equivalent retrieval over Idaho – Part 1: Using Sentinel-1 repeat-pass interferometry S. Oveisgharan et al. 10.5194/tc-18-559-2024
- Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data I. Alabi et al. 10.3389/frsen.2024.1481848
- Toward Dry Snow Parameter Estimation by Simultaneous Multiple Squint Differential InSAR A. Benedikter et al. 10.1109/TGRS.2024.3486328
15 citations as recorded by crossref.
- Investigating the Impact of Optical Snow Cover Data on L-Band InSAR Snow Water Equivalent Retrievals J. Tarricone et al. 10.34133/remotesensing.0682
- C-Band Radar-Based Improved Snow Depth Estimation (C-RISE) in the Indian Western Himalayas and Colorado Rocky Mountains R. Chandra Prabha et al. 10.1109/JSTARS.2025.3563462
- Comparing InSAR Snow Water Equivalent Retrieval Using ALOS2 With In Situ Observations and SnowModel Over the Boreal Forest Area J. Jorge Ruiz et al. 10.1109/TGRS.2024.3439855
- Evaluating L-band InSAR snow water equivalent retrievals with repeat ground-penetrating radar and terrestrial lidar surveys in northern Colorado R. Bonnell et al. 10.5194/tc-18-3765-2024
- Remote sensing of mountain snow from space: status and recommendations S. Gascoin et al. 10.3389/feart.2024.1381323
- Aspect controls on the spatial redistribution of snow water equivalence through the lateral flow of liquid water in a subalpine catchment K. Mooney & R. Webb 10.5194/tc-19-2507-2025
- Evaluating snow depth retrievals from Sentinel-1 volume scattering over NASA SnowEx sites Z. Hoppinen et al. 10.5194/tc-18-5407-2024
- Recent Advances in Snow Monitoring from Local to Global Scales J. Revuelto et al. 10.1007/s40641-025-00207-0
- Snow water equivalent retrieval over Idaho – Part 2: Using L-band UAVSAR repeat-pass interferometry Z. Hoppinen et al. 10.5194/tc-18-575-2024
- Assessment of L-band InSAR snow estimation techniques over a shallow, heterogeneous prairie snowpack R. Palomaki & E. Sproles 10.1016/j.rse.2023.113744
- Assimilation of L-band interferometric synthetic aperture radar (InSAR) snow depth retrievals for improved snowpack quantification P. Shrestha & A. Barros 10.5194/tc-19-2895-2025
- Characterization of non-Gaussianity in the snow distributions of various landscapes N. Ohara et al. 10.5194/tc-18-5139-2024
- Snow water equivalent retrieval over Idaho – Part 1: Using Sentinel-1 repeat-pass interferometry S. Oveisgharan et al. 10.5194/tc-18-559-2024
- Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data I. Alabi et al. 10.3389/frsen.2024.1481848
- Toward Dry Snow Parameter Estimation by Simultaneous Multiple Squint Differential InSAR A. Benedikter et al. 10.1109/TGRS.2024.3486328
Latest update: 30 Oct 2025
Short summary
Mountain snowmelt provides water for billions of people across the globe. Despite its importance, we cannot currently measure the amount of water in mountain snowpacks from satellites. In this research, we test the ability of an experimental snow remote sensing technique from an airplane in preparation for the same sensor being launched on a future NASA satellite. We found that the method worked better than expected for estimating important snowpack properties.
Mountain snowmelt provides water for billions of people across the globe. Despite its...
