Meteorology-Conditioned High-Resolution Vegetation Forecasting: A Hierarchical Multi-Modal Fusion Network
We recommend setting up the environment by installing pixi.
# Build the environment
pixi install
# Activate the env
pixi shell
# Run code
python main.py -c conf/*.tomlDue to confidentiality reasons, the original data cannot be provided.
However, we have included a toy dataset. It can be downloaded directly from Hugging Face:
cd HMMFN
# Make sure git-lfs is installed (https://git-lfs.com)
git lfs install
git clone https://huggingface.co/datasets/sun2ot/HMMFN datasets
# If you are a Chinese user, we recommend using a mirror site:
# git clone https://hf-mirror.com/datasets/sun2ot/HMMFN datasets