EGU23-6242
https://doi.org/10.5194/egusphere-egu23-6242
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

An automated algorithm to retrieve the location and depth of supraglacial lakes from ICESat-2 ATL03 data

Qi Liang, Wanxin Xiao, Fengming Hui, Lei Zheng, and Xiao Cheng
Qi Liang et al.
  • School of Geospatial Engineering and Science, Sun Yat-sen University, China

How to cite: Liang, Q., Xiao, W., Hui, F., Zheng, L., and Cheng, X.: An automated algorithm to retrieve the location and depth of supraglacial lakes from ICESat-2 ATL03 data, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-6242, https://doi.org/10.5194/egusphere-egu23-6242, 2023.

This abstract has been withdrawn on 16 May 2023.