Articles | Volume 17, issue 5
https://doi.org/10.5194/tc-17-1997-2023
https://doi.org/10.5194/tc-17-1997-2023
Research article
 | 
12 May 2023
Research article |  | 12 May 2023

Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR)

Jack Tarricone, Ryan W. Webb, Hans-Peter Marshall, Anne W. Nolin, and Franz J. Meyer

Related authors

Evaluating L-band InSAR Snow Water Equivalent Retrievals with Repeat Ground-Penetrating Radar and Terrestrial Lidar Surveys in Northern Colorado
Randall Bonnell, Daniel McGrath, Jack Tarricone, Hans-Peter Marshall, Ella Bump, Caroline Duncan, Stephanie Kampf, Yunling Lou, Alex Olsen-Mikitowicz, Megan Sears, Keith Williams, Lucas Zeller, and Yang Zheng
EGUsphere, https://doi.org/10.5194/egusphere-2024-236,https://doi.org/10.5194/egusphere-2024-236, 2024
Short summary

Related subject area

Discipline: Snow | Subject: Remote Sensing
Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar – demonstration using airborne SnowSAr in SnowEx'17
Siddharth Singh, Michael Durand, Edward Kim, and Ana P. Barros
The Cryosphere, 18, 747–773, https://doi.org/10.5194/tc-18-747-2024,https://doi.org/10.5194/tc-18-747-2024, 2024
Short summary
Snow water equivalent retrieval over Idaho – Part 1: Using Sentinel-1 repeat-pass interferometry
Shadi Oveisgharan, Robert Zinke, Zachary Hoppinen, and Hans Peter Marshall
The Cryosphere, 18, 559–574, https://doi.org/10.5194/tc-18-559-2024,https://doi.org/10.5194/tc-18-559-2024, 2024
Short summary
Passive microwave remote-sensing-based high-resolution snow depth mapping for Western Himalayan zones using multifactor modeling approach
Dhiraj Kumar Singh, Srinivasarao Tanniru, Kamal Kant Singh, Harendra Singh Negi, and RAAJ Ramsankaran
The Cryosphere, 18, 451–474, https://doi.org/10.5194/tc-18-451-2024,https://doi.org/10.5194/tc-18-451-2024, 2024
Short summary
Retrieval of snow water equivalent from dual-frequency radar measurements: using time series to overcome the need for accurate a priori information
Michael Durand, Joel T. Johnson, Jack Dechow, Leung Tsang, Firoz Borah, and Edward J. Kim
The Cryosphere, 18, 139–152, https://doi.org/10.5194/tc-18-139-2024,https://doi.org/10.5194/tc-18-139-2024, 2024
Short summary
Snow accumulation, albedo and melt patterns following road construction on permafrost, Inuvik–Tuktoyaktuk Highway, Canada
Jennika Hammar, Inge Grünberg, Steven V. Kokelj, Jurjen van der Sluijs, and Julia Boike
The Cryosphere, 17, 5357–5372, https://doi.org/10.5194/tc-17-5357-2023,https://doi.org/10.5194/tc-17-5357-2023, 2023
Short summary

Cited articles

A2 Photonic WISe, https://a2photonicsensors.com/wise-sensor-liquid-water-content-snow/ (last access: 15 October 2022), 2021. a
Bales, R. C., Molotch, N. P., Painter, T. H., Dettinger, M. D., Rice, R., and Dozier, J.: Mountain Hydrology of the Western United States, Water Resour. Res., 42, W08432, https://doi.org/10.1029/2005WR004387, 2006. a
Balzter, H.: Forest Mapping and Monitoring with Interferometric Synthetic Aperture Radar (InSAR), Prog. Phys. Geogr., 25, 159–177, https://doi.org/10.1177/030913330102500201, 2001. a
Bekaert, D., Walters, R., Wright, T., Hooper, A., and Parker, D.: Statistical Comparison of InSAR Tropospheric Correction Techniques, Remote Sens. Environ., 170, 40–47, https://doi.org/10.1016/j.rse.2015.08.035, 2015. a
Bekaert, D. P., Jones, C. E., An, K., and Huang, M.-H.: Exploiting UAVSAR for a Comprehensive Analysis of Subsidence in the Sacramento Delta, Remote Sensing of Environment, 220, 124–134, https://doi.org/10.1016/j.rse.2018.10.023, 2018. a
Download
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.