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Machine learning techniques on spatio-temporal data for landslide susceptibility assessment at Dieng Mountainous Region, Banjarnegara district, Central Java, Indonesia

Crossref DOI link: https://doi.org/10.1007/s11069-025-07136-z

Published Online: 2025-03-11

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

Authors

Susena, Yusuf https://orcid.org/0009-0005-9619-9142
Hadmoko, Danang Sri https://orcid.org/0000-0003-0360-5577
Wibowo, Sandy Budi https://orcid.org/0000-0002-0896-3413
Funding

Funding for this research was provided by:

Universitas Gadjah Mada (NOMOR: 5286/UN1.P1/PT.01.03/2024)
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Text and Data Mining valid from 2025-03-11

Version of Record valid from 2025-03-11
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Article History

Received: 9 July 2024

Accepted: 13 January 2025

First Online: 11 March 2025

Change Date: 4 April 2025

Change Type: Update

Change Details: The original online version of this article was revised due to deleted the text “Perlu dihapus, Pak” in the article.

Declarations

:

: The authors have no relevant financial or non-financial interest to disclose and declare no conflict of interest.

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