Landslide Susceptibility Assessment Based on an Explainable Stacking Learning Model (ESLM) in Xinyuan County, Xinjiang Province, China

Published: 7 October 2025| Version 1 | DOI: 10.17632/48mb5jcdgv.1
Contributor:
Yong Dai

Description

This document provides the source code files for the research titled "Landslide Susceptibility Assessment Based on an Explainable Stacking Learning Model (ESLM) in Xinyuan County, Xinjiang Province, China."

Files

Steps to reproduce

It is recommended to use Python version 3.7 or higher, with GPU and PyTorch required. When using the code, you must replace it with your own research data, including TIF files for pregnancy disaster factors and SHP files for landslide points and boundaries.

Institutions

  • Qinghai University

Categories

Code Walk-Through

Funders

  • the Third Xinjiang Scientific Expedition Program
    Grant ID: 2022xjkk0600
  • the National Natural Science Foundation of China
    Grant ID: 42371091
  • the Chinese Academy of Sciences Foundation

Licence