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Copernicus Sentinel-1 and Deep Learning help advance sea ice information service

02 October 2019

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A Danish R&D project is developing an automatic sea ice product service, which can meet the increased demands for better and more timely sea ice information, using the extensive amount of free and available data from the Copernicus Sentinel satellites, along with novel machine learning techniques for satellite data fusion and sea-ice information retrieval.

Manual ice-charting from multi-sensor satellite data has been used for decades, but it is a time-consuming process and delays the delivery of satellite based information to end users. There is a need for automated ice observations from satellite data delivered directly to users or assimilated into ice forecast models, in order to meet the increased demands for better and more timely sea ice information, to improve efficiency and safety of marine operations in polar regions.

Source: Sentinel Online

Image credit: Contains modified Copernicus Sentinel data (2017)/processed by Technical University of Denmark - Copernicus Sentinel-1 highlights sea ice formations

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