 This paper examines the use of remote sensing techniques such as Sentinel-2 and WorldView-3 to detect plastic pollution in the environment. It also looks at the potential of hyperspectral remote sensing to distinguish between different types of plastic. The authors found that multispectral sensors are not capable of distinguishing between different types of plastic, but that hyperspectral sensors are. They suggest that narrowband channels centered around 1141, 1217, 1697, and 1716 nm combined with a bandwidth of 10 to 20 nm are best suited for identifying different types of plastic. This article was authored by Tony Schmidt, there's Cooster, Taylor Smith, and others.