西南交通大学教师主页 Ling Sixiang--Home-- Landslide susceptibility assessment using statistical and machine learning techniques: a case study in the upper reaches of the Minjiang River, southwestern China.

Ling Sixiang

Associate Professor

Supervisor of Master's Candidates

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Landslide susceptibility assessment using statistical and machine learning techniques: a case study in the upper reaches of the Minjiang River, southwestern China.

DOI number: 10.3389/feart.2022.986172

Journal: Frontiers in Earth Science

Volume: 10

Page Number: 986172

Translation or Not: no

Date of Publication: 2022-08-30

Pre One:: Comparing the prediction performance of logistic model tree with different ensemble techniques in susceptibility assessments of different landslide types

Next One:: Stability assessment of tunnel slopes along the Dujiangyan city to Siguniang Mountain Railway, China

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Landslide susceptibility assessment using statistical and machine learning techniques: a case study in the upper reaches of the Minjiang River, southwestern China.