The SeaSWIR dataset

Knaeps, Els; Doxaran, David; Dogliotti, Ana; Nechad, Bouchra; Ruddick, Kevin; Raymaekers, Dries; Sterckx, Sindy

doi:https://doi.org/10.5194/essd-10-1439-2018

Articles | Volume 10, issue 3

https://doi.org/10.5194/essd-10-1439-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-10-1439-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 3

Review article

|

14 Aug 2018

Review article |

| 14 Aug 2018

The SeaSWIR dataset

Els Knaeps, David Doxaran, Ana Dogliotti, Bouchra Nechad, Kevin Ruddick, Dries Raymaekers, and Sindy Sterckx

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Final revised paper (published on 14 Aug 2018)
Preprint (discussion started on 03 Apr 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of Knaeps et al., the SeaSWIR dataset', Ken Voss, 23 May 2018
RC2: 'review', Anonymous Referee #2, 28 May 2018
AC1: 'reply to referee comments - final author comments', Els Knaeps, 26 Jun 2018

Short summary

The SeaSWIR dataset consists of 137 ASD marine reflectances, 137 total suspended matter (TSM) measurements and 97 turbidity measurements gathered at three turbid estuarine sites (Gironde, La Plata, Scheldt). The dataset is valuable because of the high-quality measurements of the marine reflectance in the Short Wave InfraRed I region (SWIR-I: 1000–1200 nm) and SWIR-II (1200–1300 nm) and because of the wide range of TSM concentrations from 48 mg L⁻¹ up to 1400 mg L⁻¹.