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Illegal, unreported, and unregulated (IUU) fishing poses a global threat toocean habitats. Publicly available satellite data offered by NASA and theEuropean Space Agency (ESA) provide an opportunity to actively monitor thisactivity. Effectively leveraging satellite data for maritime conservationrequires highly reliable machine learning models operating globally withminimal latency. This paper introduces three specialized computer vision modelsdesigned for synthetic aperture radar (Sentinel-1), optical imagery(Sentinel-2), and nighttime lights (Suomi-NPP/NOAA-20). It also presents bestpractices for developing and delivering real-time computer vision services forconservation. These models have been deployed in Skylight, a real time maritimemonitoring platform, which is provided at no cost to users worldwide.

Satellite Imagery and AI: A New Era in Ocean Conservation, from Research to Deployment and Impact