Ensemble stacking: a powerful tool for landslide susceptibility assessment – a case study in Anhua County, Hunan Province, China-Reference-Cited by-同舟云学术

Ensemble stacking: a powerful tool for landslide susceptibility assessment – a case study in Anhua County, Hunan Province, China

Published:2024-01 Issue:1 Volume:39 Page:
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Liu Lei-Lei¹²³,Danish Aasim¹²³,Wang Xiao-Mi⁴,Zhu Wen-Qing¹²³

Affiliation:

1. Ministry of Education, Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Central South University), Changsha, PR China

2. Key Laboratory of Non-ferrous and Geological Hazard Detection, Changsha, PR China

3. School of Geosciences and Info-Physics, Central South University, Changsha, PR China

4. School of Geographic Science, Hunan Normal University, Changsha, PR China

Funder

the Research Project of the Geological Bureau of Hunan Province

the Fundamental Research Funds for Central Universities of the Central South University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2024.2326005

Reference110 articles.

1. Assessing LNRF, FR, and AHP models in landslide susceptibility mapping index: a comparative study of Nojian watershed in Lorestan province, Iran

2. Machine-learning based landslide susceptibility modelling with emphasis on uncertainty analysis

3. Performance evaluation of machine learning and statistical techniques for modelling landslide susceptibility with limited field data

4. Landslide susceptibility assessment using a novel hybrid model of statistical bivariate methods (FR and WOE) and adaptive neuro-fuzzy inference system (ANFIS) at southern Zagros Mountains in Iran

5. Assessment of landslide susceptibility for Meghalaya (India) using bivariate (frequency ratio and Shannon entropy) and multi-criteria decision analysis (AHP and fuzzy-AHP) models