Sea Ice Concentration and Sea Ice Extent Mapping with the Fsscat Mission: A Neural Network Approach

• Published in: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
• Main Authors: Llaveria, David, Muñoz-Martín, Joan Francesc, Herbert, Christoph, Pablos, Miriam, Camps, Adriano, Park, Hyuk
• Format: Book Part
• Language: English
• Published: Institute of Electrical and Electronics Engineers 2021
• Subjects: Sea ice
• Online Access: http://hdl.handle.net/10261/257544; https://doi.org/10.1109/IGARSS47720.2021.9554793

2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 11-16 July 2021, Brussels, Belgium.-- 4 pages, 4 figures Knowledge about sea ice concentration and extent in polar regions is of great interest both for economic interests, and as a proxy of the climate change. Retrieved maps are based on data from microwave radiometers, which are currently provided by large satellite missions. Nowadays, CubeSats have proven to be a cost-effective alternative. Due to their low cost, they can be launched in large constellations to obtain high spatial coverage and daily revisit. This study presents a neural network approach to generate sea ice concentration and sea ice extension maps using the L-band microwave radiometer, and the GNSS-Reflectometer data from the FMPL-2 instrument onboard 3 Cat-5/A, one of the two CubeSats of the FSSCat mission. The results obtained during the first 2 months of the mission are presented Peer reviewed