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Unlocking Accuracy: Inventory Geometry as a Missing Link in Machine Learning-Based Rockfall Susceptibility Mapping (Case Study: Calcareous Dorsal, Rif, Morocco)

Crossref DOI link: https://doi.org/10.1007/s41748-026-01192-6

Published Online: 2026-05-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

El Miloudi, Youssef https://orcid.org/0000-0003-2400-5845
El Kharim, Younes https://orcid.org/0000-0001-9451-3955
El Hamdouni, Rachid https://orcid.org/0000-0002-1271-3839
Funding

Funding for this research was provided by:

Universidad de Granada
License Information

Text and Data Mining valid from 2026-05-08

Version of Record valid from 2026-05-08
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Article History

Received: 25 October 2025

Revised: 31 March 2026

Accepted: 17 April 2026

First Online: 8 May 2026

Declarations

:

: The authors have no relevant financial or non-financial interests to disclose.

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