Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.713 IF 4.713
  • IF 5-year value: 4.927 IF 5-year
    4.927
  • CiteScore value: 8.0 CiteScore
    8.0
  • SNIP value: 1.425 SNIP 1.425
  • IPP value: 4.65 IPP 4.65
  • SJR value: 2.353 SJR 2.353
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 71 Scimago H
    index 71
  • h5-index value: 53 h5-index 53
TC | Articles | Volume 13, issue 4
The Cryosphere, 13, 1395–1408, 2019
https://doi.org/10.5194/tc-13-1395-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 13, 1395–1408, 2019
https://doi.org/10.5194/tc-13-1395-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 29 Apr 2019

Research article | 29 Apr 2019

Instantaneous sea ice drift speed from TanDEM-X interferometry

Dyre Oliver Dammann et al.

Related authors

Iceberg topography and volume classification using TanDEM-X interferometry
Dyre O. Dammann, Leif E. B. Eriksson, Son V. Nghiem, Erin C. Pettit, Nathan T. Kurtz, John G. Sonntag, Thomas E. Busche, Franz J. Meyer, and Andrew R. Mahoney
The Cryosphere, 13, 1861–1875, https://doi.org/10.5194/tc-13-1861-2019,https://doi.org/10.5194/tc-13-1861-2019, 2019
Short summary
Mapping pan-Arctic landfast sea ice stability using Sentinel-1 interferometry
Dyre O. Dammann, Leif E. B. Eriksson, Andrew R. Mahoney, Hajo Eicken, and Franz J. Meyer
The Cryosphere, 13, 557–577, https://doi.org/10.5194/tc-13-557-2019,https://doi.org/10.5194/tc-13-557-2019, 2019
Short summary

Related subject area

Discipline: Sea ice | Subject: Remote Sensing
Opportunistic evaluation of modelled sea ice drift using passively drifting telemetry collars in Hudson Bay, Canada
Ron R. Togunov, Natasha J. Klappstein, Nicholas J. Lunn, Andrew E. Derocher, and Marie Auger-Méthé
The Cryosphere, 14, 1937–1950, https://doi.org/10.5194/tc-14-1937-2020,https://doi.org/10.5194/tc-14-1937-2020, 2020
Short summary
Combining TerraSAR-X and time-lapse photography for seasonal sea ice monitoring: the case of Deception Bay, Nunavik
Sophie Dufour-Beauséjour, Anna Wendleder, Yves Gauthier, Monique Bernier, Jimmy Poulin, Véronique Gilbert, Juupi Tuniq, Amélie Rouleau, and Achim Roth
The Cryosphere, 14, 1595–1609, https://doi.org/10.5194/tc-14-1595-2020,https://doi.org/10.5194/tc-14-1595-2020, 2020
Short summary
Satellite observations of unprecedented phytoplankton blooms in the Maud Rise polynya, Southern Ocean
Babula Jena and Anilkumar N. Pillai
The Cryosphere, 14, 1385–1398, https://doi.org/10.5194/tc-14-1385-2020,https://doi.org/10.5194/tc-14-1385-2020, 2020
Short summary
Satellite Passive Microwave Sea-Ice Concentration Data Set Intercomparison for Arctic Summer Conditions
Stefan Kern, Thomas Lavergne, Dirk Notz, Leif Toudal Pedersen, and Rasmus Tage Tonboe
The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-35,https://doi.org/10.5194/tc-2020-35, 2020
Revised manuscript accepted for TC
Short summary
Effects of decimetre-scale surface roughness on L-band brightness temperature of sea ice
Maciej Miernecki, Lars Kaleschke, Nina Maaß, Stefan Hendricks, and Sten Schmidl Søbjærg
The Cryosphere, 14, 461–476, https://doi.org/10.5194/tc-14-461-2020,https://doi.org/10.5194/tc-14-461-2020, 2020

Cited articles

Ahlnäs, K. and Garrison, G.: Satellite and oceanographic observations of the warm coastal current in the Chukchi Sea, ARCTIC, 37, 244–254, 1984. 
Arctic Council: Arctic marine shipping assessment, Protection of the Arctic Marine Environment Working Group (PAME), Akureyri, Island, 190, 2009. 
Bamler, R. and Hartl, P.: Synthetic aperture radar interferometry, Inverse Probl., 14, R1, https://doi.org/10.1088/0266-5611/14/4/001, 1998. 
Berg, A. and Eriksson, L. E. B.: Investigation of a hybrid algorithm for sea ice drift measurements using synthetic aperture radar images, IEEE T. Geosci. Remote, 52, 5023–5033, 2014. 
Berg, A., Dammert, P., and Eriksson, L. E. B.: X-Band Interferometric SAR Observations of Baltic Fast Ice, IEEE T. Geosci. Remote, 53, 1248–1256, https://doi.org/10.1109/TGRS.2014.2336752, 2015. 
Publications Copernicus
Download
Short summary
We evaluate single-pass synthetic aperture radar interferometry (InSAR) as a tool to assess sea ice drift and deformation. Initial validation shows that TanDEM-X phase-derived drift speed corresponds well with ground-based radar-derived motion. We further show that InSAR enables the identification of potentially important short-lived dynamic processes otherwise difficult to observe, with possible implication for engineering and sea ice modeling.
We evaluate single-pass synthetic aperture radar interferometry (InSAR) as a tool to assess sea...
Citation