metadata

tags:
  - geospatial
pretty_name: S2-100K

Dataset Card for S2-100K

The S2-100K dataset is a dataset of 100,000 multi-spectral satellite images sampled from Sentinel-2 via the Microsoft Planetary Computer. Copernicus Sentinel data is captured between Jan 1, 2021 and May 17, 2023. The dataset is sampled approximately uniformly over landmass and only includes images without cloud coverage. The dataset is available for research purposes only. If you use the dataset, please cite our paper. More information on the dataset can be found in our paper.

See this GitHub repo for more details.

Dataset Details

Dataset Description

SatCLIP trains location and image encoders via contrastive learning, by matching images to their corresponding locations. This is analogous to the CLIP approach, which matches images to their corresponding text. Through this process, the location encoder learns characteristics of a location, as represented by satellite imagery.

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Language(s) (NLP): [More Information Needed]
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Dataset Sources [optional]

Repository: [More Information Needed]
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Uses

Direct Use

To download the dataset you can use the huggingface_hub library.

from huggingface_hub import snapshot_download
snapshot_download("davanstrien/satclip", local_dir='.', repo_type='dataset')

Alternatively you can run

# Make sure you have git-lfs installed (https://git-lfs.com)
git lfs install
git clone https://huggingface.co/datasets/davanstrien/satclip

To extract the images you can run the following command.

ls image/*.tar.xz |xargs -n1 tar -xzf

Citation

BibTeX:

@article{klemmer2023satclip,
  title={SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery},
  author={Klemmer, Konstantin and Rolf, Esther and Robinson, Caleb and Mackey, Lester and Ru{\ss}wurm, Marc},
  journal={arXiv preprint arXiv:2311.17179},
  year={2023}
}