Physical Oceanography Physical Oceanography 1573-160X 20240210 Satellite hydrophysics Research Article Evaluation of Sea Ice Drift in the Arctic Marginal Ice Zone based on Sentinel-1A/B Satellite Radar Measurements https://orcid.org/0000-0003-4365-9369 Plotnikov E. V.
Russian Federation
ev.plotnikov@ya.ru https://orcid.org/0000-0001-6378-8956 G-1103-2014 Kozlov I. E.
Russian Federation
ik@mhi-ras.ru https://orcid.org/0000-0002-4263-7734 Zhuk E. V.
Russian Federation
alenixx@gmail.com https://orcid.org/0000-0003-4169-0063 GSD-3516-2022 Marchenko A. V.
Norway
aleksey.marchenko@unis.no Marine Hydrophysical Institute of RAS Sevastopol Russia University Centre in Svalbard Longyearbyen Norway 30 04 2024 31 2 284 294 06 09 2023 29 12 2023 18 01 2024 Copyright ©; 2024, E. V. Plotnikov, I. E. Kozlov, E. V. Zhuk, A. V. Marchenko 2024 E. V. Plotnikov, I. E. Kozlov, E. V. Zhuk, A. V. Marchenko https://creativecommons.org/licenses/by-nc/4.0/ https://physical-oceanography.ru/repository/issues/2024/02/10/

Purpose. The object of the work is to construct an automated system for calculating sea ice drift velocity fields using Sentinel-1A/B radar measurements based on the normalized maximum cross-correlation approach. The conditions and results of a numerical experiment aimed at evaluating the effectiveness of this technique for 63 pairs of radar images of the Fram Strait region for the summer-autumn periods in 2017 and 2018 are presented. Both the calculation algorithm and the qualitative and quantitative characteristics of the results are described in details. The effectiveness of the approach being applied to regular monitoring of ice drift is considered.

Methods and Results. The maximum cross-correlation (MCC) approach was used for calculations. It is based on automated finding of photographically similar fragments in the pairs of images with a known sensing time interval. The Pearson correlation coefficient was applied as a proximity metric. As a result, 63 sea ice drift velocity fields were constructed in the Fram Strait region, each with a spatial scale of approximately several hundred thousand square kilometers. The method for filtering false correlations is proposed.

Conclusions. The approach applied in the study makes it possible to obtain automatically the sea ice drift velocity fields from the satellite data with high spatial resolution (40 m). The reconstructed velocity fields cover significant areas of the ocean surface. The method proposed for filtering false correlations permits to extract effectively the fragments with distortions resulting from the MCС algorithm limitations, from the calculation results.

 sea ice drift dynamics sea ice optical flow maximum cross-correlation approach Sentinel-1A/B images Fram Strait Arctic Ocean The study was carried out with financial support of the Russian Science Foundation grant No. 21-17-00278 (analysis, validation and development of a web-service to store sea ice drift fields) and within the framework of the theme of state assignment № FNNN-2024-0017 (development of the method for calculating sea ice drift velocity based on satellite radar data).

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