High-resolution ice concentration maps are of great interest for ship navigation and ice
hazard forecasting. In this case study, a convolutional neural network (CNN) has been used …

Sea ice profoundly influences ocean circulation, the polar environment, biology, climate, and
commercial activities. The rapidly changing sea ice environment and increased human …

We have studied the incidence angle (θ0) dependence of the sea ice backscattering
coefficient (0.°) for Sentinel-1 (S-1) extra wide (EW) mode dualpolarization (HH/HV) …

Sea ice concentration (SIC) is an important sea ice parameter for sea ice navigation,
environmental research, and weather and ice forecasting. We have developed and tested a …

In this paper an algorithm for ice/water classification of C-and L-band dual polarization
synthetic aperture radar data is presented. A comparison of the two different frequencies is …

In this study application of convolutional neural networks (CNNs) preceded by synthetic
aperture radar (SAR), image segmentation for sea ice concentration (SIC) estimation over …

Arctic sea ice type (SITY) variation is a sensitive indicator of climate change. However,
systematic inter-comparison and analysis for SITY products are lacking. This study analysed …

Areal matching by phase correlation and feature tracking are two complementary methods
used to measure sea ice drift between synthetic aperture radar images. This paper …

Sea ice distribution is an important indicator of ice conditions and regional climate change in
the Bohai Sea (China). In this study, we monitored the spatiotemporal distribution of the …

We estimate two essential sea ice parameters—namely, sea ice concentration (SIC) and sea
ice thickness (SIT)—for the Bohai Sea using a combination of a thermodynamic sea ice …