Discovering Vessel Activities at Sea using AIS Data: Mapping of Fishing Footprints

Abstract—Maritime Situational Awareness (MSA), the capabi-lity of understanding events, circumstances and activities within and impacting the maritime environment, can be greatly im-proved by the automatic identification and classification of vessel activity. Enhancing coverage of existing technologies such as Automatic Identification System (AIS) provides the possibility to integrate and enrich services and information already available in the maritime domain. In this paper, we propose a method that automatically extracts knowledge from ship reporting positioning data. In particular, we apply this architecture to the practical scenario of automatically discovering fishing areas based on historical AIS data broadcast by fishing vessels. I