Multi-Scale Convolutional Neural Networks (CNNs) for Landslide Inventory Mapping from Remote Sensing Imagery and Landslide Susceptibility Mapping (LSM)
This paper proposes a method for Landslide Inventory Mapping and Landslide Susceptibility Mapping.
- tensorflow-gpu==2.6.0
- keras==2.6.0
- scikit-learn==0.23.2
- numpy
- pandas
- Keras Tuner
- GDAL
- h5py
- hyperopt
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.
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