Articles | Volume 17, issue 5
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

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Cited articles

A2 Photonic WISe, (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,, 2006. a
Balzter, H.: Forest Mapping and Monitoring with Interferometric Synthetic Aperture Radar (InSAR), Prog. Phys. Geogr., 25, 159–177,, 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,, 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,, 2018. a
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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.