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Landslide susceptibility assessment using information quantity and machine learning integrated models: a case study of Sichuan province, southwestern China

Crossref DOI link: https://doi.org/10.1007/s12145-025-01700-8

Published Online: 2025-01-18

Published Print: 2025-02

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

Authors

Zhao, Pengtao

Wang, Ying

Xie, Yi

Uddin, Md Galal

Xu, Zhengxuan

Chang, Xingwang

Zhang, Yunhui https://orcid.org/0000-0001-9833-2908
Funding

Funding for this research was provided by:

Scientific Key R&D project of the Xizang Autonomous Region (SKLGP2022K017, SKLGP2022K017, SKLGP2022K017, SKLGP2022K017, SKLGP2022K017, SKLGP2022K017)

scientific programs of Yibin City ([SWJTU2021020007], [SWJTU2021020008] [YBSCXY2023020006] and [YBSCXY2023020007], [SWJTU2021020007], [SWJTU2021020008] [YBSCXY2023020006] and [YBSCXY2023020007], [SWJTU2021020007], [SWJTU2021020008] [YBSCXY2023020006] and [YBSCXY2023020007])
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Text and Data Mining valid from 2025-01-18

Version of Record valid from 2025-01-18
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Article History

Received: 31 October 2024

Accepted: 6 January 2025

First Online: 18 January 2025

Declarations

:

: All authors consent to the publication of the manuscript.

: The authors declare no competing interests.

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