研究目的
Investigating the potential of Landsat-OLI VNIR spectral bands for distinction and discrimination among seagrass and algae species in the Bahrain national water using spectral reflectances.
研究成果
The OLI green and NIR spectral domains are the most suitable for seagrass and algae species discrimination in the Bahrain national water. The derived water vegetation indices (TDAVI and WAVI) using the green and NIR bands discriminate significantly among the mixed species, and between individual species for both seagrass and algae as well.
研究不足
The proposed methodology must be tested on other seagrass and algae species, considering other geographic locations at the Arabian Gulf with different water temperature, salinity and depths, as well as considering several sediment-background types, and seasons’ variability.
1:Experimental Design and Method Selection:
The study utilized spectral reflectance measurements of seagrass and algae species at different coverage rates, transformed using continuum-removed approach, resampled and convolved in the solar-reflective spectral bands of OLI using a radiative transfer code, then converted to water vegetation indices (WVI). Regression analysis were performed between the transformed WVI and the coverage rates of each species individually and mixed, as well between WVI and NIR reflectances.
2:Sample Selection and Data Sources:
Samples of seagrass (Halodule uninervis and Halophila stipulacea) and algae (green and brown) species were collected from the coastal zones of the Bahrain national water.
3:List of Experimental Equipment and Materials:
An Analytical Spectral Devices (ASD) spectroradiometer was used for spectroradiometric measurements.
4:Experimental Procedures and Operational Workflow:
Spectroradiometric measurements were acquired in the BRDF-Goniometric laboratory above each selected sample using an ASD spectroradiometer. The reflectance factor of each sample was calculated by rationing target radiance to the radiance obtained from a calibrated 'Spectralon panel'.
5:Data Analysis Methods:
The measured spectra’s of each species were transformed using continuum-removed (CR) approach, resampled and convolved in the solar-reflective spectral bands of OLI using a radiative transfer code, then converted to water vegetation indices (WVI). Regression analysis were performed between the transformed WVI and the coverage rates of each species individually and mixed, as well between WVI and NIR reflectances.
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