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

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.

Institutions

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

Categories

Funders

• the Third Xinjiang Scientific Expedition Program

  Grant ID: 2022xjkk0600
• National Natural Science Foundation of China

  China

  Grant ID: 42371091
• the Chinese Academy of Sciences Foundation

Licence