Sub3DNet1.0: a deep-learning model for regional-scale 3D subsurface structure mapping

Articles | Volume 14, issue 6

https://doi.org/10.5194/gmd-14-3421-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-3421-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 6

Model description paper

|

08 Jun 2021

Model description paper |

| 08 Jun 2021

Zhenjiao Jiang, Dirk Mallants, Lei Gao, Tim Munday, Gregoire Mariethoz, and Luk Peeters

Supplement

Multi-resolution Valley Bottom Flatness (MrVBF) J. Gallant, T. Dowling, and J. Austin https://doi.org/10.4225/08/5701C885AB4FE

Musgrave Province Airborne Electromagnetic Conductivity Grids T. Munday https://doi.org/10.25919/5d0868d48591e

Sub3DNet: A deep learning model for regional-scale 3D subsurface structure mapping Zhenjiao Jiang https://doi.org/10.7910/DVN/DDEIUV

Short summary

Fast and reliable tools are required to extract hidden information from big geophysical and...