| --- |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
|
|
| - image-segmentation |
| tags: |
| - earth-observation |
| - remote-sensing |
| - methane |
| - satellite |
| - taco |
| pretty_name: MethaneSET |
| size_categories: |
| - 100K<n<1M |
| viewer: false |
| --- |
| |
| # MethaneSET: Unified Multi-Sensor Datasets for Satellite-Based Methane Plume Detection |
|
|
| **Authors:** Cesar Aybar, Julio Contreras, David Montero, Miguel D. Mahecha, Luis Gómez-Chova |
|
|
| **Paper:** Scientific Data (under review) |
|
|
| Methane is the second-largest driver of anthropogenic warming, and a disproportionate share of emissions comes from a small number of super-emitters detectable by satellite. MethaneSET provides analysis-ready datasets for methane plume detection spanning three sensors with expert-verified segmentation masks from two independent monitoring systems (IMEO MARS and Carbon Mapper). For multispectral sensors (Sentinel-2, Landsat-8/9), labeled scenes with plume masks and confirmed plume-free references are provided for change-detection workflows. For the EMIT imaging spectrometer, calibrated radiance cubes and precomputed matched-filter products support both end-to-end and retrieval-based detection. A synthetic plume bank of over one million WRF-LES enhancements enables physics-based data augmentation. All datasets follow the [TACO specification](https://github.com/tacofoundation/tacoreader) and are distributed as Parquet catalogs with Cloud-Optimized GeoTIFFs. |
|
|
| | Dataset | Samples | Size | Datacard | |
| |---------|--------:|-----:|----------| |
| | methaneset-s2-pretraining | 57,291 | 37.2 GB | [view](https://huggingface.co/datasets/tacofoundation/methaneset/blob/main/methaneset-s2-pretraining/index.html) | |
| | methaneset-s2-finetune | 3,612 | 13.6 GB | [view](https://huggingface.co/datasets/tacofoundation/methaneset/blob/main/methaneset-s2-finetune/index.html) | |
| | methaneset-l89-pretraining | 21,926 | 8.88 GB | [view](https://huggingface.co/datasets/tacofoundation/methaneset/blob/main/methaneset-l89-pretraining/index.html) | |
| | methaneset-l89-finetune | 1,548 | 0.78 GB | [view](https://huggingface.co/datasets/tacofoundation/methaneset/blob/main/methaneset-l89-finetune/index.html) | |
| | methaneset-emit | 503 | 652 GB | [view](https://huggingface.co/datasets/tacofoundation/methaneset/blob/main/methaneset-emit/index.html) | |
| | methaneset-bank | 1,064,448 | 31.5 GB | [view](https://huggingface.co/datasets/tacofoundation/methaneset/blob/main/methaneset-bank/index.html) | |
|
|
| ## Tutorials |
|
|
| | Notebook | Description | |
| |----------|-------------| |
| | [](https://colab.research.google.com/github/tacofoundation/methaneset/blob/main/notebooks/01_multispectral.ipynb) | Multispectral plume detection (Sentinel-2 / Landsat-8/9) | |
| | [](https://colab.research.google.com/github/tacofoundation/methaneset/blob/main/notebooks/02_hyperspectral.ipynb) | Hyperspectral plume detection (EMIT) | |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{aybar2026methaneset, |
| title = {MethaneSET: Unified Multi-Sensor Datasets for Satellite-Based Methane Plume Detection}, |
| author = {Aybar, Cesar and Contreras, Julio and Montero, David and Mahecha, Miguel D. and G{\'o}mez-Chova, Luis}, |
| journal = {Scientific Data}, |
| year = {2026} |
| } |
| ``` |
