Recent advances in satellite technology in terms of higher spatial resolution, multi-spectral bands and open data access, have enhanced the ability for the monitoring and management of coastal areas. Satellite images are to be one of the most potential alternatives to water depth estimation due to the wide area coverage, repeatability, and low cost.
Depth retrieval can be achieved using either Analytical or Empirical Bathymetry methods. Empirical methods need additionally in situ measurements and can follow two approaches: Either the one of Lyzenga et al. (1978, 2006), proposing log-linear correlation between multiband and water depth values, and focusing mainly on removing all other reflected parameters attenuating water bottom signals, or the approach of Stumpf et al. (2003), using a ratio of bands and the difference in attenuation of different bands in water.
The characteristics of the nearshore are dependent on their bathymetry. Variations in the sea floor can be caused by various processes, like sedimentation, and can be depicted by colour or contour lines (isobaths).
Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission, also supporting water cover monitoring. The acquired data, mission coverage and high revisit frequency are particularly effective for Satellite Derived Bathymetry (SDB) application.
This webinar will focus on SDB using the ratio transform algorithm developed by Stumpf et al. (2003), with the use of Sentinel-2 imagery for depth derivation and the regression parameters retrieval.
Event Format
This event will take place Tuesday, 8th of April 2021 between 14:30 and 16:00 CEST. The duration of the event will be 80 minutes + Q&A.
