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

© 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...

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Bibliographic Details
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
Description
Summary:© 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.

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