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Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment

CommSensLab—UPC, Universitat Politècnica de Catalunya—BarcelonaTech, and IEEC/CTE-UPC, 08034 Barcelona, Spain
Institute of Space Sciences (ICE, CSIC), Campus UAB, 08193 Barcelona, Spain
Institut d’Estudis Espacials de Catalunya IEEC, 08034 Barcelona, Spain
Centre for Earth Observation Science, 535 Wallace Building, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
CPOM, University of College London, Gower Street, London WC1E 6BT, UK
Department of Physics and Technology, UiT The Arctic University of Norway, 8514 Tromsø, Norway
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO 80523, USA
Danish Meteorological Institute, Lyngbyvej 100, DK-2100 Copenhagen Ø, Denmark
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Klussmanstr 3D, 27570 Bremerhaven, Germany
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
European Space Agency Directorate of Earth Observation Keplerlaan 1, 2201 Noordwijk, The Netherlands
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(24), 4038;
Received: 13 October 2020 / Revised: 3 December 2020 / Accepted: 3 December 2020 / Published: 10 December 2020
(This article belongs to the Special Issue Applications of GNSS Reflectometry for Earth Observation)
The FSSCat mission was the 2017 ESA Sentinel Small Satellite (S⌃3) Challenge winner and the Copernicus Masters competition overall winner. It was successfully launched on 3 September 2020 onboard the VEGA SSMS PoC (VV16). FSSCat aims to provide coarse and downscaled soil moisture data and over polar regions, sea ice cover, and coarse resolution ice thickness using a combined L-band microwave radiometer and GNSS-Reflectometry payload. As part of the calibration and validation activities of FSSCat, a GNSS-R instrument was deployed as part of the MOSAiC polar expedition. The Multidisciplinary drifting Observatory for the Study of Arctic Climate expedition was an international one-year-long field experiment led by the Alfred Wegener Institute to study the climate system and the impact of climate change in the Arctic Ocean. This paper presents the first results of the PYCARO-2 instrument, focused on the GNSS-R techniques used to measure snow and ice thickness of an ice floe. The Interference Pattern produced by the combination of the GNSS direct and reflected signals over the sea-ice has been modeled using a four-layer model. The different thicknesses of the substrate layers (i.e., snow and ice) are linked to the position of the fringes of the interference pattern. Data collected by MOSAiC GNSS-R instrument between December 2019 and January 2020 for different GNSS constellations and frequencies are presented and analyzed, showing that under general conditions, sea ice and snow thickness can be retrieved using multiangular and multifrequency data. View Full-Text
Keywords: GNSS-R; sea-ice; arctic; snow GNSS-R; sea-ice; arctic; snow
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MDPI and ACS Style

Munoz-Martin, J.F.; Perez, A.; Camps, A.; Ribó, S.; Cardellach, E.; Stroeve, J.; Nandan, V.; Itkin, P.; Tonboe, R.; Hendricks, S.; Huntemann, M.; Spreen, G.; Pastena, M. Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment. Remote Sens. 2020, 12, 4038.

AMA Style

Munoz-Martin JF, Perez A, Camps A, Ribó S, Cardellach E, Stroeve J, Nandan V, Itkin P, Tonboe R, Hendricks S, Huntemann M, Spreen G, Pastena M. Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment. Remote Sensing. 2020; 12(24):4038.

Chicago/Turabian Style

Munoz-Martin, Joan F., Adrian Perez, Adriano Camps, Serni Ribó, Estel Cardellach, Julienne Stroeve, Vishnu Nandan, Polona Itkin, Rasmus Tonboe, Stefan Hendricks, Marcus Huntemann, Gunnar Spreen, and Massimiliano Pastena. 2020. "Snow and Ice Thickness Retrievals Using GNSS-R: Preliminary Results of the MOSAiC Experiment" Remote Sensing 12, no. 24: 4038.

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