Combination of Very High Resolution satellite imagery and side scan data for low cost seagrass mapping

Citation:

Tsokos Α, Tsoukala V, Petropoulos C, Sartabakos P, Vassilakis E. Combination of Very High Resolution satellite imagery and side scan data for low cost seagrass mapping. 1st International Scientific Conference on Design and Management of Port Coastal and Offshore Works [Internet]. 2019.

Abstract:

The use of Very High Resolution (VHR) satellite imagery at various applications is gaining more and more popularity due to the growing number of offered data and the increasing spectral properties. WorldView-2 is the first commercial VHR multi-spectral satellite providing imagery in eight different sensors having bands that range from the visible to near-infrared (0.40-1.04 μm). The integration of the “Coastal” band (0.40-0.45 μm) in the 8-band WorldView series of satellite imagery data, which was followed by the addition of the similar wavelength band 1 (0.43 - 0.45 µm) in the Landsat-8 Operational Land Imager (OLI), gave a great boost to applications related to shallow water depths. The fundamental principle underlying the methods used to study the sea bottom from remotely sensed imagery is that different wavelengths of the solar light penetrate the water body to different depths (Phinn et al. 2008).

The ability to accurately determine the seagrass at underwater regions is of great importance for the biodiversity of the submarine environment. The use of certain spectral wavelength data tends to be the most cost effective way of monitoring the marine habitats by mapping the sea bottom type along with several other jobs like modeling coastlines or even navigating through shallow aquatic areas by studying the bathymetry (Fornes et al. 2006).

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