Aerial detection of beached marine plastic using a novel, hyperspectral short-wave infrared (SWIR) camera
Cocking, Jennifer; Narayanaswamy, Bhavani E.; Waluda, Claire M. ORCID: https://orcid.org/0000-0003-3517-5233; Williamson, Benjamin J.; Bellas, Juan. 2022 Aerial detection of beached marine plastic using a novel, hyperspectral short-wave infrared (SWIR) camera. ICES Journal of Marine Science, 79 (3), fsac006. 648-660. https://doi.org/10.1093/icesjms/fsac006
Before downloading, please read NORA policies.
|
Text (Open Access)
© The Author(s) 2022. Published by Oxford University Press on behalf of International Council for the Exploration of the Sea. fsac006.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (3MB) | Preview |
Abstract/Summary
Plastic pollution in the marine environment is a pervasive, global problem that threatens wildlife and human health. Routine monitoring is required to determine pollution hotspots, focus clean-up efforts, and assess the efficacy of legislation implemented to reduce environmental contamination. The shoreline represents an accessible area, relative to open water, from which to monitor this. Unmanned aerial vehicles (UAVs) offer a low-cost platform for remote sensing that operates below cloud coverage, which can interfere with satellite imagery. Detection of plastic using visible light is limited however, and results may be improved by using short-wave infrared (SWIR) imagery to collect chemical information. Within the commercial recycling industry, plastic items are sorted successfully based on their composition using SWIR instrumentation that measures the chemical spectra of waste items under controlled illumination. Here, proof of concept is established for aerial detection of domestic and shoreline-harvested plastic items on a beach under natural sunlight with a lightweight (800 g), hyperspectral SWIR camera deployed at an altitude of ∼ 5 m over ∼ 30-m transects. The results of spectral correlation mapping to compare imagery spectra to polyethylene and polypropylene reference spectra demonstrate that these two polymers can be successfully detected with this novel method.
Item Type: | Publication - Article |
---|---|
Digital Object Identifier (DOI): | https://doi.org/10.1093/icesjms/fsac006 |
ISSN: | 1054-3139 |
Additional Keywords: | hyperspectral, macroplastics, plastic pollution, remote sensing, shoreline, short-wave infrared, spectral angle mapping |
Date made live: | 22 Feb 2022 10:57 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/532152 |
Actions (login required)
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year