Research data

├── sample_data.csv # Sample data(Not all, only the format is shown)
├── key_model_code.py # Simplified model training and prediction code
├── XGBmodel.pkl # Trained model file

This dataset and code support the paper:
"Integration of InSAR Multi-Dimensional Deformation Indicators and Activity Sample Classification for Landslide Susceptibility Assessment for high mountain canyon areas"

Included:
- sample_data.csv: Example input data with features and labels.
- key_model_code.py: Essential code to train the XGBoost model and generate predictions.
- XGBmodel.pkl: Pre-trained model file for reproducibility.

Core indicators used: deformation rate, acceleration, standard deviation, residual error, and label.