Preprints
https://doi.org/10.5194/essd-2022-140
https://doi.org/10.5194/essd-2022-140
 
23 May 2022
23 May 2022
Status: this preprint is currently under review for the journal ESSD.

Hyperspectral reflectance dataset of pristine, weathered and biofouled plastics

Giulia Leone1,2,4,5, Ana I. Catarino1, Liesbeth De Keukelaere3, Mattias Bossaer1, Els Knaeps3,, and Gert Everaert1, Giulia Leone et al.
  • 1Flanders Marine Institute (VLIZ), Oostende, Belgium
  • 2Ghent University, Research Group Aquatic Ecology, Ghent, Belgium
  • 3Flemish Institute for Technological Research (VITO), Belgium
  • 4Research Institute for Nature and Forest, Aquatic Management (INBO), Brussels, Belgium
  • 5Research Foundation – Flanders (FWO), Brussels, Belgium
  • shared senior co-authorship

Abstract. This work presents a hyperspectral reflectance dataset of macroplastic samples acquired using Analytical Spectral Devices (ASD) FieldSpec 4. Samples analysed 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 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 of 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 Findability, Accessibility, Interoperability, and Reuse (FAIR) principles and is available in the open-access repository Marine Data Archive (https://doi.org/10.14284/530, Leone et al., 2021).

Giulia Leone et al.

Status: open (until 18 Jul 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Giulia Leone et al.

Data sets

Hyperspectral reflectance dataset for dry, wet and submerged plastics in clear and turbid water Leone, G.; Catarino, A.; De Keukelaere, L.; Bossaer, M.; Knaeps, E.; Everaert, G. https://doi.org/10.14284/530

Giulia Leone et al.

Viewed

Total article views: 262 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
216 40 6 262 1 1
  • HTML: 216
  • PDF: 40
  • XML: 6
  • Total: 262
  • BibTeX: 1
  • EndNote: 1
Views and downloads (calculated since 23 May 2022)
Cumulative views and downloads (calculated since 23 May 2022)

Viewed (geographical distribution)

Total article views: 245 (including HTML, PDF, and XML) Thereof 245 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 Jul 2022
Download
Short summary
This paper illustrates a dataset of hyperspectral reflectance measurements of macroplastics. Plastic samples consisted of pristine, artificially weathered and biofouled plastic items, and field plastic debris. Samples were measured in dry conditions and, a subset of plastics, in wet and submerged conditions. This dataset can be used to better understand plastic optical features when exposed to natural agents and to support the development of algorithms for monitoring environmental plastics.