Skip to main content
Publications | Persons | Institutes | Projects
[ report an error in this record ]basket (0): add | show Print this page

Hyperspectral reflectance dataset of pristine, weathered, and biofouled plastics
Leone, G.; Catarino, A.I.; De Keukelaere, L.; Bossaer, M.; Knaeps, E.; Everaert, G. (2023). Hyperspectral reflectance dataset of pristine, weathered, and biofouled plastics. ESSD 15: 745-752. https://dx.doi.org/10.5194/essd-15-745-2023

Additional data:
In: Earth System Science Data. Copernicus: Göttingen. ISSN 1866-3508; e-ISSN 1866-3516, more
Peer reviewed article  

Available in  Authors | Dataset 

Keyword
    Marine/Coastal

Project Top | Authors | Dataset 
  • Plastic Flux for Innovation and Business Opportunities in Flanders, more

Authors  Top | Dataset 
  • Leone, G., more
  • Catarino, A.I., more
  • De Keukelaere, L., more

Abstract
    This work presents a hyperspectral reflectance dataset of macroplastic samples acquired using Analytical Spectral Devices (ASD) FieldSpec 4. Samples analyzed consisted of pristine, artificially weathered, and biofouled plastic items and plastic debris samples collected in the docks of the Port of Antwerp and in the river Scheldt near Temse Bridge (Belgium). The hyperspectral signal of each sample was measured in controlled dry conditions in an optical calibration facility at the Vlaamse Instelling voor Technologisch Onderzoek (VITO; Flemish Institute for Technological Research) and, for a subset of plastics, under wet and submerged conditions in a silo tank at Flanders Hydraulics. The wet and submerged hyperspectral signals were measured in a mesocosm setting that mimicked environmentally relevant concentrations of freshwater microalgae and suspended sediment. The ASD was equipped with an 8∘ field of view at the calibration facility, and a 1∘ field of view was used in the mesocosm setting. The dataset obtained complies with the FAIR (Findable, Accessible, Interoperable, Reusable) principles and is available in the open-access repository Marine Data Archive (https://doi.org/10.14284/530, Leone et al., 2021).

Dataset
  • Leone, G.; Catarino, A.; De Keukelaere, L.; Bossaer, M.; Knaeps, E.; Everaert, G.; Flanders Marine Institute (VLIZ); Flemish Institute for Technological Research (VITO): Belgium; (2021): Hyperspectral reflectance dataset for dry, wet and submerged plastics in clear and turbid water. Marine Data Archive., more

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors | Dataset