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Integrating interpretable artificial neural networks, geomorphic plausibility and transfer learning for landslide susceptibility mapping: a case study of Pacitan, East Java

Crossref DOI link: https://doi.org/10.1007/s43621-025-01959-3

Published Online: 2025-10-27

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

Authors

Mulabbi, Andrew

Danoedoro, Projo

Samodra, Guruh
License Information

Text and Data Mining valid from 2025-10-27

Version of Record valid from 2025-10-27
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Article History

Received: 3 June 2025

Accepted: 14 September 2025

First Online: 27 October 2025

Declarations

:

: Not applicable.

: All authors have read and approved the final version of the manuscript and consent to its publication.

: The authors declare no competing interests.

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