Beyond Numerical Modeling: An Integrated Remote Sensing and AI Methodology for Rapid Slope Stability Analysis in Mining Regions

Siddhartha Agarwal; Pankaj Kumar; Maitreya Mohan Sahoo; Gianluca Reale

doi:https://doi.org/10.5194/egusphere-egu26-5418

[Back] [Session ERE1.7]

EGU26-5418, updated on 13 Mar 2026

https://doi.org/10.5194/egusphere-egu26-5418

EGU General Assembly 2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Beyond Numerical Modeling: An Integrated Remote Sensing and AI Methodology for Rapid Slope Stability Analysis in Mining Regions

Siddhartha Agarwal¹, Pankaj Kumar¹, Maitreya Mohan Sahoo¹, and Gianluca Reale²

Siddhartha Agarwal et al.

¹Indian Institute of Technology, INDIAN SCHOOL OF MINES, Dhanbad, India (maitreyamohan@iitism.ac.in)
²Argotec, Turin, Italy (gianluca_reale@hotmail.com)

How to cite: Agarwal, S., Kumar, P., Sahoo, M. M., and Reale, G.: Beyond Numerical Modeling: An Integrated Remote Sensing and AI Methodology for Rapid Slope Stability Analysis in Mining Regions, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-5418, https://doi.org/10.5194/egusphere-egu26-5418, 2026.

This abstract has been withdrawn on 11 Aug 2026.