Datasets:
ArXiv:
DOI:
License:
File size: 1,805 Bytes
5deb6a4 3f869fc 5deb6a4 753b332 46aa7ea 5deb6a4 258a3fc a370bd0 84e0054 af2f050 fbcc8ee 8f846ee 42b1c6b 8f846ee |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 |
---
license: mit
task_categories:
- image-segmentation
- image-classification
tags:
- methane-detection
- hyperspectral
- satellite-imagery
---
## UnorthoDOS - Unorthorectified Dataset for On board Satellite methane detection
This repository contains two ML-ready datasets, comprising orthorectified and unorthorectified hyperspectral images from the Earth Surface Mineral Dust Source Investigation (EMIT) sensor, for methane detection. This dataset supports the research presented in the paper [Towards Methane Detection Onboard Satellites](https://huggingface.co/papers/2509.00626).
- **Paper:** [Towards Methane Detection Onboard Satellites](https://huggingface.co/papers/2509.00626)
- **Code:** [github.com/spaceml-org/plume-hunter](https://github.com/spaceml-org/plume-hunter)
Due to storage limitations, this repository includes only the subset of images featuring methane plumes.
To access the full dataset used in the associated publication, please feel free to contact us.
## Citation
If you find the code or the UnorthoDOS datasets useful in your research, please consider citing our work.
### 📦 Dataset
```
@misc{UnorthoDOS,
author = { Maggie Chen and Hala Lambdouar and Luca Marini and Laura Martínez-Ferrer and Chris Bridges and Giacomo Acciarini },
title = { UnorthoDOS (Revision a370bd0) },
year = 2025,
url = { https://huggingface.co/datasets/SpaceML/UnorthoDOS },
doi = { 10.57967/hf/6778 },
publisher = { Hugging Face }
}
```
### 📄 Paper
```
@article{chen2025towards,
title={Towards Methane Detection Onboard Satellites},
author={Chen, Maggie and Lambdouar, Hala and Marini, Luca and Mart{\'\i}nez-Ferrer, Laura and Bridges, Chris and Acciarini, Giacomo},
journal={arXiv preprint arXiv:2509.00626},
year={2025}
}
``` |