EGU22-8084
https://doi.org/10.5194/egusphere-egu22-8084
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Remote sensing estimation of sea surface temperature and salinity from multi and hyperspectral ground and satellite ocean colour images.

Solomon White1, Encarni Medina Lopez1, Evangelos Spyrakos2, Tiago Silva3, Adrien Martin4, and Laurent Amoudry4
Solomon White et al.
  • 1Edinburgh University , Infrastructure and Environment, Engineering, United Kingdom of Great Britain – England, Scotland, Wales (solomon.white@ed.ac.uk)
  • 2Stirling University, United Kingdom of Great Britain – England, Scotland, Wales
  • 3Centre for Environment, Fisheries, and Aquaculture Science (CEFAS), United Kingdom of Great Britain – England, Scotland, Wales
  • 4National Oceanography Centre (NOC), United Kingdom of Great Britain – England, Scotland, Wales

How to cite: White, S., Medina Lopez, E., Spyrakos, E., Silva, T., Martin, A., and Amoudry, L.: Remote sensing estimation of sea surface temperature and salinity from multi and hyperspectral ground and satellite ocean colour images., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8084, https://doi.org/10.5194/egusphere-egu22-8084, 2022.

This abstract has been withdrawn on 13 May 2022.