EGU26-15057, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-15057
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Mapping groundwater discharge potential from Earth observation data using machine learning: Evidence from an arid basin
Hayat Ghachoui, Abdelhalim Tabit, Ahmed Algouti, and Said Moujane
Hayat Ghachoui et al.
  • Cadi Ayyad University of Marrakech, Faculty of sciences semlalia of marrakech , Geology department, Morocco (h.ghachoui.ced@uca.ac.ma)

How to cite: Ghachoui, H., Tabit, A., Algouti, A., and Moujane, S.: Mapping groundwater discharge potential from Earth observation data using machine learning: Evidence from an arid basin, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15057, https://doi.org/10.5194/egusphere-egu26-15057, 2026.

This abstract has been withdrawn on 11 Aug 2026.