EGU24-4804, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-4804
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Differentiable modeling for soil moisture retrieval by unifying deep neural networks and water cloud model

Zhenghao Li1 and Qiangqiang Yuan1,2
Zhenghao Li and Qiangqiang Yuan
  • 1Wuhan University, School of Geodesy and Geomatics, Wuhan, China
  • 2Wuhan University, Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan, China

How to cite: Li, Z. and Yuan, Q.: Differentiable modeling for soil moisture retrieval by unifying deep neural networks and water cloud model, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-4804, https://doi.org/10.5194/egusphere-egu24-4804, 2024.

This abstract has been withdrawn on 09 Mar 2024.