Articles | Volume 18, issue 2
https://doi.org/10.5194/tc-18-559-2024
© Author(s) 2024. 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-18-559-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Snow water equivalent retrieval over Idaho – Part 1: Using Sentinel-1 repeat-pass interferometry
Shadi Oveisgharan
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, CA, USA
Robert Zinke
Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, CA, USA
Zachary Hoppinen
Boise State University, Department of Geosciences, 1295 University Drive, Boise, ID, USA
Hans Peter Marshall
Boise State University, Department of Geosciences, 1295 University Drive, Boise, ID, USA
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Cited
25 citations as recorded by crossref.
- Learning Regional Snow Water Equivalent and Snow Height Variations From Sentinel-1 InSAR Acquisitions L. Barco et al. https://doi.org/10.1109/LGRS.2026.3735343
- Evaluating the utility of Sentinel-1 in a Data Assimilation System for estimating snow depth in a mountainous basin B. Mirza et al. https://doi.org/10.5194/tc-19-6691-2025
- Assessing the Applicability of Sentinel-1 D-InSAR for Snow Depth Retrieval in the Maxian Mountains T. Feng et al. https://doi.org/10.3390/s26206525
- Evaluating snow depth retrievals from Sentinel-1 volume scattering over NASA SnowEx sites Z. Hoppinen et al. https://doi.org/10.5194/tc-18-5407-2024
- Interferometric SAR for monitoring the Arctic cryosphere: Progress, challenges, and perspectives J. Zhao et al. https://doi.org/10.1016/j.earscirev.2026.105698
- Influence of snowpack properties and local incidence angle on SAR signal depolarization: a mathematical model for high-resolution snow depth estimation A. Mariani et al. https://doi.org/10.5194/tc-20-963-2026
- UAV-borne GPR for snowpack characterization: Potential, limitations and operational guidelines B. Dupuy et al. https://doi.org/10.1016/j.coldregions.2025.104641
- Interferometric Coherence Modeling of Radar and Reflectometer Observations Related to the Temporal and Spatial Variabilities of Snow Depth and Rough Surface S. Yueh et al. https://doi.org/10.1109/TGRS.2026.3705987
- Snow water equivalent retrieval over Idaho – Part 2: Using L-band UAVSAR repeat-pass interferometry Z. Hoppinen et al. https://doi.org/10.5194/tc-18-575-2024
- Retrieval of snow depth using synthetic aperture radar: past, current, and future Z. Li et al. https://doi.org/10.1016/j.jhydrol.2026.135103
- Enhancing Spatiotemporal InSAR Retrieval of Snow Water Equivalent Using Multichannel and MAP Estimators J. Jorge-Ruiz et al. https://doi.org/10.1109/TGRS.2026.3738147
- Using LIDAR and SNOTEL data for evaluating the performance of snow water equivalent retrieval using Sentinel-1 repeat-pass interferometry S. Oveisgharan et al. https://doi.org/10.5194/tc-20-4537-2026
- Exploring D-Pol-InSAR Coherence Regions for Snow Water Equivalent Estimation K. Belinska et al. https://doi.org/10.1109/TGRS.2026.3672275
- Sensitivity of Sentinel-1 C-band SAR backscatter, polarimetry and interferometry to snow accumulation in the Alps J. Jans et al. https://doi.org/10.1016/j.rse.2024.114477
- A spatiotemporal analysis of errors in InSAR SWE measurements caused by non-snow phase changes R. Palomaki et al. https://doi.org/10.5194/tc-20-2703-2026
- Investigating the Impact of Optical Snow Cover Data on L-Band InSAR Snow Water Equivalent Retrievals J. Tarricone et al. https://doi.org/10.34133/remotesensing.0682
- Evaluating L-band InSAR snow water equivalent retrievals with repeat ground-penetrating radar and terrestrial lidar surveys in northern Colorado R. Bonnell et al. https://doi.org/10.5194/tc-18-3765-2024
- Wet snow avalanche preconditions from Sentinel-1 multi-track composites G. Dasser et al. https://doi.org/10.5194/tc-20-4811-2026
- Toward Dry Snow Parameter Estimation by Simultaneous Multiple Squint Differential InSAR A. Benedikter et al. https://doi.org/10.1109/TGRS.2024.3486328
- 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. https://doi.org/10.3389/frsen.2024.1481848
- Snow water equivalent retrieval and analysis over Altay using 12 d repeat-pass Sentinel-1 interferometry J. Zhou et al. https://doi.org/10.5194/tc-19-5361-2025
- Review article: using spaceborne lidar for snow depth retrievals: recent findings and utility for hydrologic applications Z. Fair et al. https://doi.org/10.5194/tc-19-5671-2025
- Monitoring Snowmelt in Mountainous Areas by Considering SAR Geometric Distortion From Ascending and Descending Orbits Y. Zhang et al. https://doi.org/10.1109/JSTARS.2025.3580604
- Derivation of a new model for estimation of snow water equivalent in mountainous basins M. Yarahmadi et al. https://doi.org/10.1007/s42990-025-00196-0
- Multi-Band Differential SAR Interferometry for Snow Water Equivalent Retrieval over Alpine Mountains F. Bovenga et al. https://doi.org/10.3390/rs17142479
25 citations as recorded by crossref.
- Learning Regional Snow Water Equivalent and Snow Height Variations From Sentinel-1 InSAR Acquisitions L. Barco et al. https://doi.org/10.1109/LGRS.2026.3735343
- Evaluating the utility of Sentinel-1 in a Data Assimilation System for estimating snow depth in a mountainous basin B. Mirza et al. https://doi.org/10.5194/tc-19-6691-2025
- Assessing the Applicability of Sentinel-1 D-InSAR for Snow Depth Retrieval in the Maxian Mountains T. Feng et al. https://doi.org/10.3390/s26206525
- Evaluating snow depth retrievals from Sentinel-1 volume scattering over NASA SnowEx sites Z. Hoppinen et al. https://doi.org/10.5194/tc-18-5407-2024
- Interferometric SAR for monitoring the Arctic cryosphere: Progress, challenges, and perspectives J. Zhao et al. https://doi.org/10.1016/j.earscirev.2026.105698
- Influence of snowpack properties and local incidence angle on SAR signal depolarization: a mathematical model for high-resolution snow depth estimation A. Mariani et al. https://doi.org/10.5194/tc-20-963-2026
- UAV-borne GPR for snowpack characterization: Potential, limitations and operational guidelines B. Dupuy et al. https://doi.org/10.1016/j.coldregions.2025.104641
- Interferometric Coherence Modeling of Radar and Reflectometer Observations Related to the Temporal and Spatial Variabilities of Snow Depth and Rough Surface S. Yueh et al. https://doi.org/10.1109/TGRS.2026.3705987
- Snow water equivalent retrieval over Idaho – Part 2: Using L-band UAVSAR repeat-pass interferometry Z. Hoppinen et al. https://doi.org/10.5194/tc-18-575-2024
- Retrieval of snow depth using synthetic aperture radar: past, current, and future Z. Li et al. https://doi.org/10.1016/j.jhydrol.2026.135103
- Enhancing Spatiotemporal InSAR Retrieval of Snow Water Equivalent Using Multichannel and MAP Estimators J. Jorge-Ruiz et al. https://doi.org/10.1109/TGRS.2026.3738147
- Using LIDAR and SNOTEL data for evaluating the performance of snow water equivalent retrieval using Sentinel-1 repeat-pass interferometry S. Oveisgharan et al. https://doi.org/10.5194/tc-20-4537-2026
- Exploring D-Pol-InSAR Coherence Regions for Snow Water Equivalent Estimation K. Belinska et al. https://doi.org/10.1109/TGRS.2026.3672275
- Sensitivity of Sentinel-1 C-band SAR backscatter, polarimetry and interferometry to snow accumulation in the Alps J. Jans et al. https://doi.org/10.1016/j.rse.2024.114477
- A spatiotemporal analysis of errors in InSAR SWE measurements caused by non-snow phase changes R. Palomaki et al. https://doi.org/10.5194/tc-20-2703-2026
- Investigating the Impact of Optical Snow Cover Data on L-Band InSAR Snow Water Equivalent Retrievals J. Tarricone et al. https://doi.org/10.34133/remotesensing.0682
- Evaluating L-band InSAR snow water equivalent retrievals with repeat ground-penetrating radar and terrestrial lidar surveys in northern Colorado R. Bonnell et al. https://doi.org/10.5194/tc-18-3765-2024
- Wet snow avalanche preconditions from Sentinel-1 multi-track composites G. Dasser et al. https://doi.org/10.5194/tc-20-4811-2026
- Toward Dry Snow Parameter Estimation by Simultaneous Multiple Squint Differential InSAR A. Benedikter et al. https://doi.org/10.1109/TGRS.2024.3486328
- 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. https://doi.org/10.3389/frsen.2024.1481848
- Snow water equivalent retrieval and analysis over Altay using 12 d repeat-pass Sentinel-1 interferometry J. Zhou et al. https://doi.org/10.5194/tc-19-5361-2025
- Review article: using spaceborne lidar for snow depth retrievals: recent findings and utility for hydrologic applications Z. Fair et al. https://doi.org/10.5194/tc-19-5671-2025
- Monitoring Snowmelt in Mountainous Areas by Considering SAR Geometric Distortion From Ascending and Descending Orbits Y. Zhang et al. https://doi.org/10.1109/JSTARS.2025.3580604
- Derivation of a new model for estimation of snow water equivalent in mountainous basins M. Yarahmadi et al. https://doi.org/10.1007/s42990-025-00196-0
- Multi-Band Differential SAR Interferometry for Snow Water Equivalent Retrieval over Alpine Mountains F. Bovenga et al. https://doi.org/10.3390/rs17142479
Saved (final revised paper)
Latest update: 21 Oct 2026
Short summary
The seasonal snowpack provides water resources to billions of people worldwide. Large-scale mapping of snow water equivalent (SWE) with high resolution is critical for many scientific and economics fields. In this work we used the radar remote sensing interferometric synthetic aperture radar (InSAR) to estimate the SWE change between 2 d. The error in the estimated SWE change is less than 2 cm for in situ stations. Additionally, the retrieved SWE using InSAR is correlated with lidar snow depth.
The seasonal snowpack provides water resources to billions of people worldwide. Large-scale...