Datasets:
ArXiv:
DOI:
License:
| 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} | |
| } | |
| ``` |