01-05 December 2025
INCOIS, Hyderabad, India.
| Abstract Submission No. | ABS-01-0248 |
| Title of Abstract | Satellite-Based Nighttime Spatiotemporal Detection of IUU Fishing Activity in Indian Maritime Zones Using VIIRS-DNB Imagery: A Machine Learning Framework |
| Authors | Dr SRINIVASA RAO N*, Ms. ARYA S, Ms.Allu Gayathri Vedanthi |
| Organisation | INCOIS |
| Address | INCOIS, Hyderabad-500090 Hyderabad, Telangana, India Pincode: 500090 E-mail: srinivasn@incois.gov.in |
| Country | India |
| Presentation | Oral |
| Abstract | Illegal, Unreported, and Unregulated (IUU) fishing constitutes a significant global challenge, directly contributing to overfishing, marine habitat degradation, and a major threat to food security and the livelihoods of coastal communities. The persistent nature of these activities in large maritime zones makes traditional enforcement methods difficult and costly. This abstract presents a machine learning framework for the spatiotemporal detection of IUU fishing vessels in Indian Maritime Zones, using satellite-based nighttime imagery from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB). The research focuses on analysing the light signatures from fishing vessels at night, which can be distinguished from other maritime traffic and environmental phenomena using machine learning algorithms. By leveraging this unique dataset, the framework effectively identifies fishing patterns indicative of illegal activity, such as fishing in restricted zones or during closed seasons. This method provides a robust, scalable, cost-effective tool for monitoring vast oceanic areas. The findings demonstrate the capability of the system to map IUU hotspots, providing actionable intelligence to maritime enforcement agencies. The application of this technology offers a direct and tangible benefit to marine ecosystems by providing the means to combat overfishing and protect critical habitats from destructive practices. Ultimately, this research provides a crucial technological solution to address a core human impact on the marine environment, ensuring the sustainability of fisheries for present and future generations. |
| Are you part of IIOE-2 endorsed project | no |
| Keywords | IUU Fishing, Overfishing, Habitat Loss, Satellite Remote Sensing, VIIRS-DNB, Machine Learning, Indian Maritime Zones, Marine Conservation. |
| For Awards | no |