Landslide Hazard Assessment Based on Explainable Stacking Learning Model (ESLM): A Case Study of the Ili River Basin

Published: 11 February 2025| Version 1 | DOI: 10.17632/b96m9nrmvn.1
Contributor:
Yong Dai

Description

Some of the data from the paper: 1. Five images show the loss curves of the DNN model for each fold in the 5-fold cross-validation (including both the training and validation sets). 2. The Excel file contains extracted data of landslide and non-landslide points, providing only 300 rows of data here. 3. The `.ipynb` file is the Python code for the ESLM model in this paper, mainly implementing the use of the SHAP method to explain the results of the Stacking model.

Files

Institutions

Institute of Mountain Hazards and Environment Chinese Academy of Sciences, Qinghai University

Categories

Landslide, Explainable Artificial Intelligence

Funding

the Third Xinjiang Scientific Expedition Program

2022xjkk0600

National Natural Science Foundation of China

42371091

the Chinese Academy of Sciences Foundation

Licence