Items where Author is "Heygster, G"

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Number of items: 6.

Article
Zege, E. , Malinka, A. , Katsev, I. , Prikhach, A. , Heygster, G. , Istomina, L. , Birnbaum, G. and Schwarz, P. (2015)
Algorithm to retrieve the melt pond fraction and the spectral albedo of Arctic summer ice from satellite optical data ,
Remote Sensing of Environment, 163 , pp. 153-164 .
doi:https://www.doi.org/10.1016/j.rse.2015.03.012 , hdl:10013/epic.46010
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Article
Istomina, L. , Heygster, G. , Huntemann, M. , Schwarz, P. , Birnbaum, G. , Scharien, R. , Polashenski, C. , Perovich, D. , Zege, E. , Malinka, A. , Prikhach, A. and Katsev, I. (2015)
Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data ,
The Cryosphere, 9 (4), pp. 1551-1566 .
doi:https://www.doi.org/10.5194/tc-9-1551-2015 , hdl:10013/epic.45951
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Article
Huntemann, M. , Heygster, G. , Kaleschke, L. , Krumpen, T. , Mäkynen, M. and Drusch, M. (2014)
Empirical sea ice thickness retrieval during the freeze-up period from SMOS high incident angle observations ,
The Cryosphere, 8 (2), pp. 439-451 .
doi:https://www.doi.org/10.5194/tc-8-439-2014 , hdl:10013/epic.43288
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Article
Kaleschke, L. , Maaß, N. , Haas, C. , Hendricks, S. , Heygster, G. and Tonboe, R. (2010)
A sea-ice thickness retrieval model for 1.4 GHz radiometry and application to airborne measurements over low salinity sea-ice ,
The Cryosphere, 4 (4), pp. 583-592 .
doi:https://www.doi.org/10.5194/tc-4-583-2010 , hdl:10013/epic.36366
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Article
Rinke, A. , Melsheimer, C. , Dethloff, K. and Heygster, G. (2009)
Arctic Total Water Vapor: Comparison of Regional Climate Simulations with Observations, and Simulated Decadal Trends ,
Journal of Hydrometeorology, 10 (1), pp. 113-129 .
doi:https://www.doi.org/10.1175/2008jhm970.1 , hdl:10013/epic.32497

Article
Kaleschke, L. , Lüpkes, C. , Vihma, T. , Haarpaintner, J. , Bochert, A. , Hartmann, J. and Heygster, G. (2001)
SSM/I Sea Ice Remote Sensing for Mesoscale Ocean-Atmosphere Interaction Analysis ,
Canadian Journal of Remote Sensing, 27 (5), pp. 526-537 .
doi:https://www.doi.org/10.1080/07038992.2001.10854892 , hdl:10013/epic.14612

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