Data-driven Mineral Prospectivity Mapping: Unlocking Critical Mineral Resources using Artificial intelligence techniques in Jharkhand and its Surroundings

Litan Dutta; Dinesh Munda; Partha Pratim Mandal

doi:https://doi.org/10.5194/egusphere-egu25-20402

[Back] [Session ERE4.3]

EGU25-20402, updated on 15 Mar 2025

https://doi.org/10.5194/egusphere-egu25-20402

EGU General Assembly 2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Data-driven Mineral Prospectivity Mapping: Unlocking Critical Mineral Resources using Artificial intelligence techniques in Jharkhand and its Surroundings

Litan Dutta^1,2, Dinesh Munda², and Partha Pratim Mandal²

Litan Dutta et al.

¹TEXMiN, IIT(ISM) Dhanbad, India (litan@texmin.in)
²sRCg, Department of Applied Geophysics, IIT(ISM) Dhanbad, India

How to cite: Dutta, L., Munda, D., and Mandal, P. P.: Data-driven Mineral Prospectivity Mapping: Unlocking Critical Mineral Resources using Artificial intelligence techniques in Jharkhand and its Surroundings, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-20402, https://doi.org/10.5194/egusphere-egu25-20402, 2025.

This abstract has been withdrawn on 25 Jul 2025.