Articles | Volume 18, issue 2
https://doi.org/10.5194/os-18-361-2022
https://doi.org/10.5194/os-18-361-2022
Research article
 | 
24 Mar 2022
Research article |  | 24 Mar 2022

The capabilities of Sentinel-MSI (2A/2B) and Landsat-OLI (8/9) in seagrass and algae species differentiation using spectral reflectance

Abderrazak Bannari, Thamer Salim Ali, and Asma Abahussain

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on os-2021-81', Anonymous Referee #1, 24 Dec 2021
    • AC1: 'Reply on RC1', Abderrazak Bannari, 24 Dec 2021
    • AC2: 'Reply on RC1', Abderrazak Bannari, 03 Feb 2022
  • RC2: 'Comment on os-2021-81', Anonymous Referee #2, 31 Jan 2022
    • AC3: 'Reply on RC2', Abderrazak Bannari, 03 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Abderrazak Bannari on behalf of the Authors (03 Feb 2022)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (11 Feb 2022) by John M. Huthnance
AR by Abderrazak Bannari on behalf of the Authors (12 Feb 2022)  Author's response
ED: Publish subject to technical corrections (18 Feb 2022) by John M. Huthnance
AR by Abderrazak Bannari on behalf of the Authors (18 Feb 2022)  Author's response    Manuscript
Download
Short summary
Spectral analyses showed the importance of the blue, green, and NIR wavelengths for submerged aquatic vegetation (SAV) discrimination. Moreover, the integration of the blue or the green bands in water vegetation indices (WVIs) increases their discriminating power of SAV. Statistical fits between homologous bands of Sentinel-SMI and Landsat-OLI revealed excellent linear relationships (R2 of 0.999) with insignificant RMSD (≤ 0.0015). Accordingly, MSI and OLI sensors are spectrally similar.