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Predictive machine learning for gully susceptibility modeling with geo-environmental covariates: main drivers, model performance, and computational efficiency

Crossref DOI link: https://doi.org/10.1007/s11069-024-06481-9

Published Online: 2024-03-12

Published Print: 2024-06

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

Authors

Phinzi, Kwanele https://orcid.org/0000-0003-1865-7011
Szabó, Szilárd https://orcid.org/0000-0002-2670-7384
License Information

Text and Data Mining valid from 2024-03-12

Version of Record valid from 2024-03-12
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Article History

Received: 7 February 2023

Accepted: 29 January 2024

First Online: 12 March 2024

Declarations

:

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

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