Hyperspectral reflectance of pristine, ocean weathered and biofouled plastics from a dry to wet and submerged state

de Vries, Robin V. F.; Garaba, Shungudzemwoyo P.; Royer, Sarah-Jeanne

doi:https://doi.org/10.5194/essd-15-5575-2023

Articles | Volume 15, issue 12

https://doi.org/10.5194/essd-15-5575-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-15-5575-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 12

Data description paper

|

08 Dec 2023

Data description paper |

| 08 Dec 2023

Hyperspectral reflectance of pristine, ocean weathered and biofouled plastics from a dry to wet and submerged state

Robin V. F. de Vries, Shungudzemwoyo P. Garaba, and Sarah-Jeanne Royer

Data sets

Dataset of spectral reflectances and hypercubes of submerged biofouled, pristine, and ocean-harvested marine litter Robin V. F. de Vries, Shungudzemwoyo P. Garaba, and Sarah-Jeanne Royer https://doi.org/10.4121/7c53b72a-be97-478b-9288-ff9c850de64b.v1

Dataset of spectral reflectances and hypercubes of submerged plastic litter, including COVID-19 medical waste, pristine plastics, and ocean-harvested plastics Robin V. F. de Vries and Shungudzemwoyo P. Garaba https://doi.org/10.4121/769cc482-b104-4927-a94b-b16f6618c3b3.v1

Short summary

We present a high-quality dataset of hyperspectral point and multipixel reflectance observations of virgin, ocean-harvested, and biofouled multipurpose plastics. Biofouling and a submerged scenario of the dataset further extend the variability in open-access spectral reference libraries that are important in algorithm development with relevance to remote sensing use cases.