Multi-Scale Convolutional Neural Networks (CNNs) for Landslide Inventory Mapping from Remote Sensing Imagery and Landslide Susceptibility Mapping (LSM)

Description

This paper proposes a method for Landslide Inventory Mapping and Landslide Susceptibility Mapping.

Requirements

• tensorflow-gpu==2.6.0
• keras==2.6.0
• scikit-learn==0.23.2
• numpy
• pandas
• Keras Tuner
• GDAL
• h5py
• hyperopt

Dataset

The dataset is formatted as a number of csv files, where each column contains a different landslide impact factor and the last column also contains the labelled values.

Usage

1.for Semantic segmentation for landslide recognition

Training 
    python train.py

Inference
    python test.py

2.for Convolutional neural network landslide susceptibility evaluation

Training and inference
    python multiscale_3DCNN.py