Published November 22, 2024
| Version v2
Dataset
Open
LandslideSusceptibilityMappingData
Authors/Creators
Description
This project aims to predict geological hazard susceptibility using the LightGBM machine learning model with DEM-related data and other indicators.
The GIS database, source code, and CSV data correspond to the paper titled "Low-Time-Cost but Accurate Landslide Susceptibility Mapping: Identifying Triggering Factors with Solely DEM-Derived Indicators, LightGBM Algorithm, and Explainable Machine Learning Techniques."
The study area is located in Zhushan County, Shiyan City, Hubei Province, China.
Files
Code&Dataset.zip
Additional details
Dates
- Other
-
2024-11-22
Software
- Development Status
- Active