Copernicus Sentinel maps Florence hurricane flood. Online:

Remote Sensing for Oceanography

Remote Sensing for Oceanography

The main aim of the research project is to introduce and develop new analytical and modeling methods for remote sensing data for oceanography.


  • Remote sensing of sea surface temperature and height
  • Remote sensing of sea surface winds, waves, currents, and sea ice
  • Remote sensing detection and classification of ships and oil spill
  • Remote sensing image segmentation and classification in coastal environment
  • Remote sensing of inundation in coastal regions
  • Data fusion and reconstruction of remote sensing data


In this paper, we present a method of ship size extraction for Sentinel-1 synthetic aperture radar (SAR) images, which is composed of …

Marine atmospheric boundary layer (MABL) roll plays an important role in the turbulent exchange of momentum, sensible heat, and …

With the rapid growth of Sentinel-1 synthetic aperture radar (SAR) data, how to exploit Sentinel-1 imagery and achieve effective and …

The Sentinel-1 synthetic aperture radar (SAR) allows sufficient resources for cross-pol wind speed retrievals over the ocean. In this …