Articles | Volume 18, issue 7
https://doi.org/10.5194/tc-18-3117-2024
https://doi.org/10.5194/tc-18-3117-2024
Research article
 | 
04 Jul 2024
Research article |  | 04 Jul 2024

A study of sea ice topography in the Weddell and Ross seas using dual-polarimetric TanDEM-X imagery

Lanqing Huang and Irena Hajnsek

Related authors

Antarctic snow-covered sea ice topography derivation from TanDEM-X using polarimetric SAR interferometry
Lanqing Huang, Georg Fischer, and Irena Hajnsek
The Cryosphere, 15, 5323–5344, https://doi.org/10.5194/tc-15-5323-2021,https://doi.org/10.5194/tc-15-5323-2021, 2021
Short summary

Related subject area

Discipline: Sea ice | Subject: Remote Sensing
Snow depth estimation on leadless landfast ice using Cryo2Ice satellite observations
Monojit Saha, Julienne Stroeve, Dustin Isleifson, John Yackel, Vishnu Nandan, Jack Christopher Landy, and Hoi Ming Lam
The Cryosphere, 19, 325–346, https://doi.org/10.5194/tc-19-325-2025,https://doi.org/10.5194/tc-19-325-2025, 2025
Short summary
Updated Arctic melt pond fraction dataset and trends 2002–2023 using ENVISAT and Sentinel-3 remote sensing data
Larysa Istomina, Hannah Niehaus, and Gunnar Spreen
The Cryosphere, 19, 83–105, https://doi.org/10.5194/tc-19-83-2025,https://doi.org/10.5194/tc-19-83-2025, 2025
Short summary
Impact assessment of snow thickness, sea ice density and water density in CryoSat-2-derived sea ice thickness
Imke Sievers, Henriette Skourup, and Till A. S. Rasmussen
The Cryosphere, 18, 5985–6004, https://doi.org/10.5194/tc-18-5985-2024,https://doi.org/10.5194/tc-18-5985-2024, 2024
Short summary
Pan-Arctic sea ice concentration from SAR and passive microwave
Tore Wulf, Jørgen Buus-Hinkler, Suman Singha, Hoyeon Shi, and Matilde Brandt Kreiner
The Cryosphere, 18, 5277–5300, https://doi.org/10.5194/tc-18-5277-2024,https://doi.org/10.5194/tc-18-5277-2024, 2024
Short summary
Assessing sea ice microwave emissivity up to submillimeter waves from airborne and satellite observations
Nils Risse, Mario Mech, Catherine Prigent, Gunnar Spreen, and Susanne Crewell
The Cryosphere, 18, 4137–4163, https://doi.org/10.5194/tc-18-4137-2024,https://doi.org/10.5194/tc-18-4137-2024, 2024
Short summary

Cited articles

Breiman, L.: Random forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001. a
Castellani, G., Lüpkes, C., Hendricks, S., and Gerdes, R.: Variability of Arctic sea-ice topography and its impact on the atmospheric surface drag, J. Geophys. Res.-Oceans, 119, 6743–6762, https://doi.org/10.1002/2013JC009712, 2014. a, b
Cloude, S.: Polarisation: applications in remote sensing, Oxford University Press, https://doi.org/10.1093/acprof:oso/9780199569731.001.0001, 2010. a, b
Dall, J.: InSAR elevation bias caused by penetration into uniform volumes, IEEE T. Geosci. Remote, 45, 2319–2324, https://doi.org/10.1109/TGRS.2007.896613, 2007. a
Dammann, D. O., Eicken, H., Mahoney, A. R., Saiet, E., Meyer, F. J., and George, J. C.: Traversing sea ice–linking surface roughness and ice trafficability through SAR polarimetry and interferometry, IEEE J. Sel. Top. Appl., 11, 416–433, https://doi.org/10.1109/JSTARS.2017.2764961, 2017. a
Download
Short summary
Interferometric synthetic aperture radar can measure the total freeboard of sea ice but can be biased when radar signals penetrate snow and ice. We develop a new method to retrieve the total freeboard and analyze the regional variation of total freeboard and roughness in the Weddell and Ross seas. We also investigate the statistical behavior of the total freeboard for diverse ice types. The findings enhance the understanding of Antarctic sea ice topography and its dynamics in a changing climate.
Share