Hyperspectral-reflectance dataset of dry, wet and submerged marine litter

Knaeps, Els; Sterckx, Sindy; Strackx, Gert; Mijnendonckx, Johan; Moshtaghi, Mehrdad; Garaba, Shungudzemwoyo P.; Meire, Dieter

doi:https://doi.org/10.5194/essd-13-713-2021

Articles | Volume 13, issue 2

https://doi.org/10.5194/essd-13-713-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-713-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 2

Data description paper

|

02 Mar 2021

Data description paper |

| 02 Mar 2021

Hyperspectral-reflectance dataset of dry, wet and submerged marine litter

Els Knaeps, Sindy Sterckx, Gert Strackx, Johan Mijnendonckx, Mehrdad Moshtaghi, Shungudzemwoyo P. Garaba, and Dieter Meire

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Final revised paper (published on 02 Mar 2021)
Preprint (discussion started on 21 Oct 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'TSM measurements', Konstantinos Topouzelis, 26 Nov 2020
- SC1: 'TSM measurements', Els Knaeps, 01 Dec 2020
RC2: 'minor comments', Anonymous Referee #2, 05 Dec 2020
RC3: 'Comments to essd-2020-294', Anonymous Referee #3, 07 Dec 2020
AC1: 'Comment on essd-2020-294', Els Knaeps, 13 Jan 2021

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Els Knaeps on behalf of the Authors (21 Jan 2021) Author's response Author's tracked changes Manuscript

ED: Publish as is (26 Jan 2021) by David Carlson

AR by Els Knaeps on behalf of the Authors (27 Jan 2021) Author's response Manuscript

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Short summary

This paper describes a dataset consisting of 47 hyperspectral-reflectance measurements of plastic litter samples. The plastic litter samples include virgin and real samples. They were measured in dry conditions, and a selection of the samples were also measured in wet conditions and submerged in a water tank. The dataset can be used to better understand the effect of water absorption on the plastics and develop algorithms to detect and characterize marine plastics.