The Arctic is undergoing rapid transformation due to melting sea ice, creating new shipping routes through the Northwest Passage and Northern Sea Route. These routes offer faster global travel and longer seasonal access but also raise serious environmental concerns for the fragile Arctic ecosystem. This study reviews available data sources that can track increasing ship traffic and pollution in the region. The main dataset used is the Arctic Ship Traffic Data (ASTD), which provides detailed GPS-based vessel locations and emission estimates. However, a key limitation of ASTD is that it only tracks ship movements within individual months, not across multiple months. To address this, we developed an algorithm that connects vessel routes over time using ship characteristics and location data. They validated the method using Global Fishing Watch (GFW), which offers low-resolution tracking data for fishing vessels. Results show the algorithm accurately reconstructs vessel routes, especially for fishing ships, and can be extended to other ship types. By using big data analytics and visualization techniques, this work demonstrates the practical use of existing Arctic monitoring tools and identifies challenges in combining fragmented datasets.