Articles | Volume 6, issue 6
https://doi.org/10.5194/tc-6-1411-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-6-1411-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Review article
| 
03 Dec 2012
Review article |
| 03 Dec 2012
Remote sensing of sea ice: advances during the DAMOCLES project
G. Heygster
Institute of Environmental Physics, University of Bremen (UB), Germany
V. Alexandrov
Nansen International Environmental and Remote Sensing Centre (NIERSC), St. Petersburg, Russia and Nansen Environmental and Remote Sensing Centre, Bergen, Norway
G. Dybkjær
Danish Meteorological Institute (DMI), Denmark
W. von Hoyningen-Huene
Institute of Environmental Physics, University of Bremen (UB), Germany
F. Girard-Ardhuin
Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) , Plouzané, France
I. L. Katsev
B.I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus (IP-NASB), Minsk, Belarusian
A. Kokhanovsky
Institute of Environmental Physics, University of Bremen (UB), Germany
T. Lavergne
Norwegian Meteorological Institute (met.no), Oslo, Norway
A. V. Malinka
B.I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus (IP-NASB), Minsk, Belarusian
C. Melsheimer
Institute of Environmental Physics, University of Bremen (UB), Germany
L. Toudal Pedersen
Danish Meteorological Institute (DMI), Denmark
A. S. Prikhach
B.I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus (IP-NASB), Minsk, Belarusian
R. Saldo
Danish National Space Center (DNSC), Copenhagen, Denmark
R. Tonboe
Danish Meteorological Institute (DMI), Denmark
H. Wiebe
Institute of Environmental Physics, University of Bremen (UB), Germany
E. P. Zege
B.I. Stepanov Institute of Physics of the National Academy of Sciences of Belarus (IP-NASB), Minsk, Belarusian
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Cited
13 citations as recorded by crossref.
- Ice Velocity in Upstream of Heilongjiang Based on UAV Low-Altitude Remote Sensing and the SIFT Algorithm E. Wang et al. https://doi.org/10.3390/w14121957
- Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review T. Vihma et al. https://doi.org/10.5194/acp-14-9403-2014
- First-year sea ice melt pond fraction estimation from dual-polarisation C-band SAR – Part 1: In situ observations R. Scharien et al. https://doi.org/10.5194/tc-8-2147-2014
- Recent advances in understanding the Arctic climate system state and change from a sea ice perspective: a review R. Döscher et al. https://doi.org/10.5194/acp-14-13571-2014
- Satellite-observed trends in the Arctic sea ice concentration for the period 1979–2016 Y. Wang et al. https://doi.org/10.1007/s00343-019-7284-0
- ОТРАЖАТЕЛЬНЫЕ СВОЙСТВА АРКТИЧЕСКОГО ЛЕТНЕГО ЛЬДА В ВИДИМОМ И ИНФРАКРАСНОМ ДИАПАЗОНАХ, "Фундаментальная и прикладная гидрофизика" Э. Зеге et al. https://doi.org/10.7868/S2073667318030024
- Analysis of floe velocity characteristics in small-scaled zone in offshore waters in the eastern coast of Liaodong Bay W. Shi et al. https://doi.org/10.1016/j.coldregions.2016.04.004
- First-year sea ice melt pond fraction estimation from dual-polarisation C-band SAR – Part 2: Scaling in situ to Radarsat-2 R. Scharien et al. https://doi.org/10.5194/tc-8-2163-2014
- Antarctic Sea-Ice Classification Based on Conditional Random Fields From RADARSAT-2 Dual-Polarization Satellite Images T. Zhu et al. https://doi.org/10.1109/JSTARS.2016.2551318
- Remote Sensing of Soil and Water Quality in Agroecosystems V. de Paul Obade et al. https://doi.org/10.1007/s11270-013-1658-2
- Impact of Autumn Arctic Sea Ice concentration on Siberian High: Insights from causal relationship Y. Lin & G. Wang https://doi.org/10.1016/j.atmosres.2025.108268
- Algorithm to retrieve the melt pond fraction and the spectral albedo of Arctic summer ice from satellite optical data E. Zege et al. https://doi.org/10.1016/j.rse.2015.03.012
- Modeling Sea Ice Surface Emissivity at Microwave Frequencies: Impact of the Surface Assumptions and Potential Use for Sea Ice Extent and Type Classification L. Hermozo et al. https://doi.org/10.1109/TGRS.2016.2616920
13 citations as recorded by crossref.
- Ice Velocity in Upstream of Heilongjiang Based on UAV Low-Altitude Remote Sensing and the SIFT Algorithm E. Wang et al. https://doi.org/10.3390/w14121957
- Advances in understanding and parameterization of small-scale physical processes in the marine Arctic climate system: a review T. Vihma et al. https://doi.org/10.5194/acp-14-9403-2014
- First-year sea ice melt pond fraction estimation from dual-polarisation C-band SAR – Part 1: In situ observations R. Scharien et al. https://doi.org/10.5194/tc-8-2147-2014
- Recent advances in understanding the Arctic climate system state and change from a sea ice perspective: a review R. Döscher et al. https://doi.org/10.5194/acp-14-13571-2014
- Satellite-observed trends in the Arctic sea ice concentration for the period 1979–2016 Y. Wang et al. https://doi.org/10.1007/s00343-019-7284-0
- ОТРАЖАТЕЛЬНЫЕ СВОЙСТВА АРКТИЧЕСКОГО ЛЕТНЕГО ЛЬДА В ВИДИМОМ И ИНФРАКРАСНОМ ДИАПАЗОНАХ, "Фундаментальная и прикладная гидрофизика" Э. Зеге et al. https://doi.org/10.7868/S2073667318030024
- Analysis of floe velocity characteristics in small-scaled zone in offshore waters in the eastern coast of Liaodong Bay W. Shi et al. https://doi.org/10.1016/j.coldregions.2016.04.004
- First-year sea ice melt pond fraction estimation from dual-polarisation C-band SAR – Part 2: Scaling in situ to Radarsat-2 R. Scharien et al. https://doi.org/10.5194/tc-8-2163-2014
- Antarctic Sea-Ice Classification Based on Conditional Random Fields From RADARSAT-2 Dual-Polarization Satellite Images T. Zhu et al. https://doi.org/10.1109/JSTARS.2016.2551318
- Remote Sensing of Soil and Water Quality in Agroecosystems V. de Paul Obade et al. https://doi.org/10.1007/s11270-013-1658-2
- Impact of Autumn Arctic Sea Ice concentration on Siberian High: Insights from causal relationship Y. Lin & G. Wang https://doi.org/10.1016/j.atmosres.2025.108268
- Algorithm to retrieve the melt pond fraction and the spectral albedo of Arctic summer ice from satellite optical data E. Zege et al. https://doi.org/10.1016/j.rse.2015.03.012
- Modeling Sea Ice Surface Emissivity at Microwave Frequencies: Impact of the Surface Assumptions and Potential Use for Sea Ice Extent and Type Classification L. Hermozo et al. https://doi.org/10.1109/TGRS.2016.2616920
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