EGU23-13595, updated on 26 Feb 2023
https://doi.org/10.5194/egusphere-egu23-13595
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Using remotely sensed data to understand global lake colour variability

Shuang Liu1, William Glamore2, Yi Liu1, and Fiona Johnson1
Shuang Liu et al.
  • 1Water Research Centre, University of New South Wales, Sydney, Australia
  • 2Water Research Laboratory, University of New South Wales, Sydney, Australia

How to cite: Liu, S., Glamore, W., Liu, Y., and Johnson, F.: Using remotely sensed data to understand global lake colour variability, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-13595, https://doi.org/10.5194/egusphere-egu23-13595, 2023.

This abstract has been withdrawn on 01 Mar 2023.