An unmanned aerial vehicle was used as a mobile sensor platform to collect sea-ice
features at Ny-Ålesund in early May 2011, and several image processing algorithms have …

With the goal of automatic sea ice mapping during the summer sea ice melt cycle, this study
involved designing a fully automatic sea ice segmentation method based on a deep learning …

Lake ice is a dominant component of Canada's landscape and can act as an indicator for
how freshwater aquatic ecosystems are changing with warming climates. While lake ice …

We provide high-resolution in situ observations of wave-induced sea ice breakup in the
natural environment. In order to obtain such data, a drone was deployed from the Canadian …

When navigating ships in cold regions, sea ice concentration plays a crucial role in
determining a ship's navigability. However, automatically extracting the sea ice …

Sea Ice Image Processing with MATLAB addresses the topic of image processing for the
extraction of key sea ice characteristics from digital photography, which is of great relevance …

Sea ice concentration and thickness are important parameters for the calculations of ice
actions and their effects on Arctic offshore structures and for the evaluation of icebreaker …

Floe size distribution (FSD) has become a parameter of great interest in observations of sea
ice because of its importance in affecting climate change, marine ecosystems, and human …

Ice floes and icebergs pose serious risks to ship navigation in the Arctic. It is important to
identify the sea ice distribution around ships, and subsequently generate a sea ice map and …

Dynamic positioning (DP) experiments in model ice were carried out in the ice tank at the
Hamburg Ship Model Basin (HSVA) in the summer of 2011. In these experiments the …