Presentation description

Polar bears depend on sea ice for hunting, travel, and survival, but climate change is accelerating sea ice loss, increasing the energetic demands on these animals. This project utilizes machine learning and satellite imagery to classify Arctic regions as water or ice, enabling an analysis of sea ice distribution and connectivity over time. By integrating percolation theory and energy cost modeling, this research evaluates how changing sea ice conditions impact polar bear movement efficiency.