Sea Ice Detection Using GNSS-R Data From TechDemoSat-1

Cartwright, Jessica; Banks, Christopher J.; Srokosz, Meric

doi:10.1029/2019jc015327

Title: Sea Ice Detection Using GNSS-R Data From TechDemoSat-1

Journal Article · Wed Jul 31 00:00:00 EDT 2019 · Journal of Geophysical Research. Oceans

DOI:https://doi.org/10.1029/2019jc015327· OSTI ID:1577553

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Univ. of Southampton (United Kingdom)
National Oceanography Centre, Liverpool (United States)

A new method for the detection of sea ice using GNSS-R (Global Navigation Satellite Systems Reflectometry) is presented and applied to 33 months of data from the U.K. TechDemoSat-1 mission. This method of sea ice detection shows the potential for a future GNSS-R polar mission, attaining an agreement of over 98% and 96% in the Antarctic and Arctic, respectively, when compared to the European Space Agency's Climate Change Initiative sea ice concentration product. The algorithm uses a combination of two parameters derived from the delay-Doppler Maps to quantify the spread of power in delay and Doppler. Application of thresholds then allows sea ice to be distinguished from open water. Differences between the TechDemoSat-1 sea ice detection and comparison data sets are explored. The results provide information on the seasonal and multiyear changes in sea ice distribution of the Arctic and Antarctic. Future potential and applications of this technique are discussed.

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Research Organization:: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)

Sponsoring Organization:: USDOE Office of Science (SC)

OSTI ID:: 1577553

Journal Information:: Journal of Geophysical Research. Oceans, Vol. 124, Issue 8; ISSN 2169-9275

Publisher:: American Geophysical UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 18 works

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Cited By (2)

Measuring Greenland Ice Sheet Melt Using Spaceborne GNSS Reflectometry From TechDemoSat‐1 Li, Weiqiang; Cardellach, Estel; Fabra, Fran Geophysical Research Letters, Vol. 47, Issue 2 https://doi.org/10.1029/2019gl086477	journal	January 2020
Sea Ice Remote Sensing Using GNSS-R: A Review Yan, Qingyun; Huang, Weimin Remote Sensing, Vol. 11, Issue 21 https://doi.org/10.3390/rs11212565	journal	November 2019

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54 ENVIRONMENTAL SCIENCES
Oceanography
Global Navigation Satellite Systems Reflectometry (GNSS‐R)
sea ice
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Title: Sea Ice Detection Using GNSS-R Data From TechDemoSat-1

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