Articles | Volume 18, issue 2
https://doi.org/10.5194/os-18-361-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-18-361-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Mar 2022
Research article |
| 24 Mar 2022
| 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
CORRESPONDING AUTHOR
Space Pix-Map International Inc., Gatineau, Québec, J8R 3R7,
Canada
Thamer Salim Ali
Department of Natural Resources and Environment, College of
Graduate Studies, Arabian Gulf University, P.O. Box 26671, Manama, Kingdom of Bahrain
Asma Abahussain
Department of Natural Resources and Environment, College of
Graduate Studies, Arabian Gulf University, P.O. Box 26671, Manama, Kingdom of Bahrain
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- Technology for environmental management in Small Island Developing States: the case of Bahrain H. Naser https://doi.org/10.1016/j.cosust.2022.101219
- Seagrasses on the move: Tracing the multi-decadal species distribution trends in lagoon meadows using Landsat imagery P. Cingano et al. https://doi.org/10.1016/j.ecoinf.2024.102685
- Remote-Sensing Indicators and Methods for Coastal-Ecosystem Health Assessment: A Review of Progress, Challenges, and Future Directions L. Zhao et al. https://doi.org/10.3390/w17131971
- Hyperspectral remote sensing for monitoring coral reef and seagrass Ecosystems: capabilities, limitations and future directions J. Smart et al. https://doi.org/10.1016/j.marenvres.2026.107928
- Optimal locating satellite observation reaches for manning’s equation: From surface water and ocean topography mission river Database Q. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.132849
- Selecting the best habitat mapping technique: a comparative assessment for fisheries management in Exmouth Gulf S. Evans et al. https://doi.org/10.3389/fmars.2025.1570277
- Spatio-temporal dynamics of riverine cyanobacteria and selected water quality indicators under two hydrological regimes F. Klotz et al. https://doi.org/10.1038/s41598-026-38511-w
- Comparison of Lake Area Extraction Algorithms in Qinghai Tibet Plateau Leveraging Google Earth Engine and Landsat-9 Data X. Li et al. https://doi.org/10.3390/rs14184612
- Modeling the potential distribution of seagrass beds in the Joal-Fadiouth marine protected area (Senegal) using satellite data and environmental parameters A. Diallo et al. https://doi.org/10.3389/fenvs.2026.1746005
Saved (final revised paper)
Latest update: 03 Jun 2026
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.
Spectral analyses showed the importance of the blue, green, and NIR wavelengths for submerged...
