EGU25-5339, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-5339
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Mapping 3D Root Zone Soil Moisture of GPR Data Based on Deep Learning
Kexin Liu and Yonghui Zhao
Kexin Liu and Yonghui Zhao
  • School of Ocean and Earth Science, Tongji University, Shanghai, China

How to cite: Liu, K. and Zhao, Y.: Mapping 3D Root Zone Soil Moisture of GPR Data Based on Deep Learning, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-5339, https://doi.org/10.5194/egusphere-egu25-5339, 2025.

This abstract has been withdrawn on 03 Apr 2025.