Official implementation for
MT-GSR4B: Multi-Temporally Guided Super-Resolution for Above-Ground Biomass Estimation
(PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science 2026)
Authors: Karaman, Kaan; Sainte Fare Garnot, Vivien; Robert, Damien; Santos, Maria João; Wegner, Jan Dirk
If you ❤️ or simply use this project, don't forget to give the repository a ⭐,
it means a lot to us!
Please follow the steps below:
- You can download the dataset from their project page.
- Setup the environment and install dependencies:
cd /path/to/your/project/directory
git clone https://github.com/kaankaramanofficial/MTGSR4B.git
cd MTGSR4B
micromamba env create --file setup/environment.yml # Can be conda/mamba/microforge etc.
micromamba activate geo
- Create a shortcut for the dataset files:
mkdir data # It is excluded via .gitignore
mkdir data/BioMassters # It is excluded via .gitignore
ln -s /path/to/your/dataset/train_features data/BioMassters/train_features
ln -s /path/to/your/dataset/train_agbm data/BioMassters/train_agbm
- Prepare the dataset by running the following command:
python source/dataset/biomassters.py
python source/dataset/find_stats.py
python source/dataset/hdf_biomassters.py # optional for converting it to h5
- Update the default parameters in the configuration file:
vim config/default_parameters.json
The "WandbEntity" and "WandbProject" fields need to be updated with your own Weights & Biases account information if needed.
@article{karaman2026mtgsr4b,
title={MT-GSR4B: Multi-Temporally Guided Super-Resolution for Above-Ground Biomass Estimation},
author={Karaman, Kaan and Garnot, Vivien Sainte Fare and Robert, Damien and Santos, Maria Jo{\~a}o and Wegner, Jan Dirk},
journal={PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science},
volume={94},
number={1},
pages={1--11},
year={2026},
publisher={Springer}
}