metadata
license: other
license_name: cc-by-4.0
license_link: https://creativecommons.org/licenses/by/4.0/deed.en
size_categories:
- 100K<n<1M
Rehosted dataset from official repo. However, we have created tar balls instead of split zip archives, since they are easier to extract.
We also changed the nested directory structure of the train_features directory and renamed the .csv files.
The tar balls can be extracted with theses commands:
tar -xvf train_agbm.tar.gz
tar -xvf test_agbm.tar.gz
cat train_features.tar.gz* | tar xvfz -
cat test_features.tar.gz* | tar xvfz -
You can also check the accompanying dataloader in torchgeo.
If you use this dataset, please cite:
@inproceedings{nascetti2023biomassters,
title={BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series},
author={Nascetti, Andrea and Yadav, Ritu and Brodt, Kirill and Qu, Qixun and Fan, Hongwei and Shendryk, Yuri and Shah, Isha and Chung, Christine},
booktitle={Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
year={2023}
}