Articles | Volume 18, issue 2
https://doi.org/10.5194/tc-18-559-2024
https://doi.org/10.5194/tc-18-559-2024
Research article
 | 
12 Feb 2024
Research article |  | 12 Feb 2024

Snow water equivalent retrieval over Idaho – Part 1: Using Sentinel-1 repeat-pass interferometry

Shadi Oveisgharan, Robert Zinke, Zachary Hoppinen, and Hans Peter Marshall

Related authors

Snow water equivalent retrieval over Idaho – Part 2: Using L-band UAVSAR repeat-pass interferometry
Zachary Hoppinen, Shadi Oveisgharan, Hans-Peter Marshall, Ross Mower, Kelly Elder, and Carrie Vuyovich
The Cryosphere, 18, 575–592, https://doi.org/10.5194/tc-18-575-2024,https://doi.org/10.5194/tc-18-575-2024, 2024
Short summary

Related subject area

Discipline: Snow | Subject: Remote Sensing
Mapping seasonal snow melting in Karakoram using SAR and topographic data
Shiyi Li, Lanqing Huang, Philipp Bernhard, and Irena Hajnsek
The Cryosphere, 19, 1621–1639, https://doi.org/10.5194/tc-19-1621-2025,https://doi.org/10.5194/tc-19-1621-2025, 2025
Short summary
Do we still need reflectance? From radiance to snow properties in mountainous terrain: a case study with the EMIT imaging spectrometer
Niklas Bohn, Edward H. Bair, Philip G. Brodrick, Nimrod Carmon, Robert O. Green, Thomas H. Painter, and David R. Thompson
The Cryosphere, 19, 1279–1302, https://doi.org/10.5194/tc-19-1279-2025,https://doi.org/10.5194/tc-19-1279-2025, 2025
Short summary
Temporal stability of a new 40-year daily AVHRR land surface temperature dataset for the pan-Arctic region
Sonia Dupuis, Frank-Michael Göttsche, and Stefan Wunderle
The Cryosphere, 18, 6027–6059, https://doi.org/10.5194/tc-18-6027-2024,https://doi.org/10.5194/tc-18-6027-2024, 2024
Short summary
Evaluating snow depth retrievals from Sentinel-1 volume scattering over NASA SnowEx sites
Zachary Hoppinen, Ross T. Palomaki, George Brencher, Devon Dunmire, Eric Gagliano, Adrian Marziliano, Jack Tarricone, and Hans-Peter Marshall
The Cryosphere, 18, 5407–5430, https://doi.org/10.5194/tc-18-5407-2024,https://doi.org/10.5194/tc-18-5407-2024, 2024
Short summary
Evaluation of the Snow CCI Snow Covered Area Product within a Mountain Snow Water Equivalent Reanalysis
Haorui Sun, Yiwen Fang, Steven Margulis, Colleen Mortimer, Lawrence Mudryk, and Chris Derksen
EGUsphere, https://doi.org/10.5194/egusphere-2024-3213,https://doi.org/10.5194/egusphere-2024-3213, 2024
Short summary

Cited articles

Adebisi, N., Marshall, H., Vuyovich, C. M., Elder, K., Hiemstra, C., and Durand, M.: SnowEx20-21 QSI Lidar Snow Depth 0.5m UTM Grid, Version 1, Boulder, Colorado USA, NASA National Snow and Ice Data Center Distributed Active Archive Center [data set], https://doi.org/10.5067/VBUN16K365DG, 2022. a
Baduge, A. W. A., Henschel, M. D., Hobbs, S., Buehler, S. A., Ekman, J., and Lehrbass, B.: Seasonal variation of coherence in SAR interferograms in Kiruna, Northern Sweden, Int. J. Remote Sens., 37, 370–387, 2016. a
Barnett, T., Adam, J., and Lettenmaier, D.: Potential impacts of a warming climate on water availability in snow-dominated regions, Nature, 438, 303–309, 2005. a
Conde, V., Nico, G., Mateus, P., Catalão, J., Kontu, A., and Gritsevich4, M.: On the estimation of temporal changes of snow water equivalent by spaceborne SAR interferometry: a new application for the Sentinel-1 mission, J. Hydrol. Hydromech., 67, 93–100, 2019. a, b, c, d, e
Cui, Y., Xiong, C., Lemmetyinen, J., Shi, J., Jiang, L., Peng, B., Li, H., Zhao, T., Ji, D., and Hu, T.: Estimating Snow Water Equivalent with Backscattering at X and Ku Band on Absorption Loss, Remote Sens., 8, 505, https://doi.org/10.3390/rs8060505, 2016. a, b, c, d
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. 
Share