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.
- 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.