Sea ice concentration estimation from Sentinel-1 Synthetic Aperture Radar images over the Fram Strait

• Published in: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
• Main Authors: Aldenhoff, Wiebke, Berg, Anders, Eriksson, Leif
• Language: unknown
• Published: 2016
• Subjects: Remote Sensing; Oceanography; Hydrology; Water Resources; Arctic; Autocorrelation; Cross-polarization; Sentinel-1; Sea Ice Concentration; Fram Strait; Sea ice
• Online Access: https://doi.org/10.1109/IGARSS.2016.7731001; https://research.chalmers.se/en/publication/247513

© 2016 IEEE.In this paper we present an algorithm for sea ice concentration estimation in the Arctic from C-band dual polarization Sentinel-1A SAR images. The algorithm is based on spatial autocorrelation and utilizes an artificial neural network to map the image information to sea ice concentration. The cross-polarization channel facilitates the improvement of concentration estimates of images with high backscatter over open water in the normally used co-polarization channel. Ice charts from the Norwegian meteorological institute are used for the training of the network and as a reference. A mean absolute error of 14.55 (ice concentration is given in the range from 0 to 100) of a test data set consisting of 20 images underlines the capabilities of the proposed algorithm.