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Forecasting with Swin-Unet on Satellite Meteorological Images

Model Architecture

Model Architecture

Installation

To use this forecasting model, install CUDA and PyTorch.

Additionally, install the required Python packages by running:

pip install -r requirements.txt

Dataset

Download the datasets and organize them under the Dataset directory. Place each dataset under train, valid, and test directories accordingly.

Training

To train the forecasting model, run the following command:

python training.py

Inference

To perform inference using the trained model, run the following command:

python inference.py

Result

Result Result

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Drought forecasting with Swin-Unet on different RS drought indices

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