Oil Spills Impact Using Image Processing

Abstract

Marine life may be a huge ecosystem that faces many threats, the most important one being pollution. And one among the main contamination sources are oil spills. Oil spills are often devastating, especially when a large area of the ocean/sea is covered with it. The oil that gets leaked into the ocean pollutes the water and prevents algae from getting sunlight and fish from getting the oxygen trapped in water. The oil also gets trapped within the wings of birds that feed on the fish, making it difficult for them to fly. In short, oil can pose an excellent threat to ocean life if not taken care of. Oil spill incidents occurred outside the Kamarajar Port in Ennore near Chennai in Tamil Nadu, India. The spill occurred on 28 January 2017 when an outbound empty tanker BW Maple collided with an inbound loaded oil tanker Dawn Kanchipuram at 04:00 local time. Image processing may be a rapidly growing technology, which has applications in computer vision also as remote sensing. Identifying oil spill impact with Machine Learning Random forest classifier, K-means algorithm and WebGnome tool using Landsat8 dataset. We aim to broaden its range of applications in controlling global pollution.