Remote Sensing for Ocean Research & Management

This course explores how remote sensing can be used to improve scientific knowledge and ocean management and to develop socio economic applications such as in fisheries, aquaculture and spatial planning


SENSE | #Environmental Data Analysis | #Science & Society | 4 ECTS

Semester 3 (Fall)


Learning outcomes

Students should be able to

  • understand the importance of remote sensing in the fields of marine research, conservation and innovation.
  • integrate remote sensing in an integrated approach (coupling in situ, citizen science, remote sensing).
  • use the appropriate platforms to retrieve and analyze Sentinel 2 and 3 satellite imagery
  • Use satellite data and GIS to analyze phytoplankton algal bloom situations such as HABs and eutrophication processes


  • Basics in remote sensing
  • Type of information collected
  • User platforms
    • Copernicus, Mercator and associated platforms
    • Coda, Snap
    • Coastal-TEP
  • Visit of the Thales Alenia Space site (Cannes)
  • Ocean applications: focus on ocean colour
    • Research: studying the sea (temperature, primary production, ecosystems, global change…)
    • Management: monitoring water quality, pollution
    • Innovation: case studies for fisheries and aquaculture


  • Christophe Mocquet (UCA, module coordinator)
  • Copernicus academy
  • Antoine Mangin (ACRI-ST)
  • Marine Bretagnon (ACRI-ST)
  • Stéphane Pierotti (Thales Alenia Space)


  • Written examination (final)
  • Assignments and workshops
The other Semester 3 modules
The other #Environmental Data analysis modules
The other #Science and Society modules