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Effectiveness of Newmark-based sampling strategy for coseismic landslide susceptibility mapping using deep learning, support vector machine, and logistic regression

Crossref DOI link: https://doi.org/10.1007/s10064-022-02664-5

Published Online: 2022-04-08

Published Print: 2022-05

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

Authors

Xi, Chuanjie

Han, Mei

Hu, Xiewen

Liu, Bo

He, Kun

Luo, Gang

Cao, Xichao
Funding

Funding for this research was provided by:

national key research and development program (2018YFC1505401)

national natural science foundation of china (41731285)

youth fund project of nsfc (Grants No. 41907225)

fundamental research funds for the central universities (Grant No. 2682021ZTPY100)

program of science and technology department of sichuan province (No. 2021YJ0033)

open fund of state key laboratory of geological disaster prevention and geological environment protection (Grants No. SKLGP2018K011)
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Article History

Received: 14 July 2021

Accepted: 20 March 2022

First Online: 8 April 2022

Change Date: 27 April 2022

Change Type: Correction

Change Details: A Correction to this paper has been published:

Change Details: https://doi.org/10.1007/s10064-022-02709-9

Updates are available Correction dated 2022-04-27

Click to view Correction: https://doi.org/10.1007/s10064-022-02709-9