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--- |
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license: cc-by-nc-4.0 |
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tags: |
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- Methane |
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- Methane Emission |
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- Methane Plume |
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- Sentinel-2 |
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- CarbonMapper |
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task_categories: |
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- image-classification |
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- image-segmentation |
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size_categories: |
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- 100K<n<1M |
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--- |
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# Introduction |
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This is a methane emission detection dataset designed for tasks such as **methane emission classification** and **segmentation**. For each sample, the dataset includes data from three days: the **leak day (T)**, **T-90**, and **T-365**, along with the corresponding **plume mask** and **plume label** (binary). |
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The dataset was created by integrating data from **CarbonMapper** and **Sentinel-2**, followed by preprocessing steps such as reprojection, resizing, and cropping. Each sample is formatted as a **32x32 size** patch, as our experiments demonstrated that this size yields the best performance for the intended tasks. |
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For further details on the dataset and the associated experiments, please refer to our paper. |
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## Data Sources |
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This dataset is derived from the following sources: |
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1. **Sentinel-2**: Provided by the European Space Agency (ESA), Sentinel-2 is a high-resolution Earth observation satellite series primarily used for land monitoring, agriculture, forestry, and environmental management. For more information about Sentinel-2, visit the [ESA Sentinel-2 website](https://sentinel.esa.int/web/sentinel/missions/sentinel-2). |
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2. **CarbonMapper**: This initiative focuses on high-resolution hyperspectral remote sensing to monitor greenhouse gas emissions and air pollutants, supporting global efforts to address climate change. For more information, visit the [CarbonMapper website](https://carbonmapper.org). |
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Both sources have been preprocessed to meet the specific requirements of this dataset and standardized for ease of use. |
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# Overview |
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## Raw Collection |
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Raw Collection: [S2CM_RAW](https://huggingface.co/datasets/H1deaki/S2CM_RAW) |
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- **L2A product**: Collected **6347 samples** from **4285 plumes**. |
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- **L1C product**: Collected **7251 samples** from **4974 plumes**. |
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## Dataset Splits |
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The dataset is divided into three splits: |
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1. **L1C_temporal_split_32x32** |
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2. **L2A_temporal_split_32x32** |
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3. **L2A_location_split_32x32** |
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Below is a summary of the splits: |
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| Split Name | Training Samples | Testing Samples | |
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|----------------------------|------------------|-----------------| |
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| L1C_temporal_split_32x32 | 96,219 | 19,459 | |
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| L2A_temporal_split_32x32 | 80,660 | 20,319 | |
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| L2A_location_split_32x32 | 80,217 | 20,789 | |
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# Citation |
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``` |
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@inproceedings{liu2025methanes2cm, |
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title={MethaneS2CM: A Dataset for Multispectral Deep Methane Emission Detection}, |
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author={Liu, Hongxuan and Leung, Juliana Y and Niu, Di}, |
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booktitle={Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2}, |
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pages={5640--5651}, |
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year={2025} |
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} |
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``` |
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# License |
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The MethaneS2CM dataset is licensed under the CC-BY-NC-4.0 license. |
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# Acknowledgments |
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We thank the European Space Agency (ESA) and the CarbonMapper initiative for their efforts in open data sharing. Their work enables valuable research and development in the field. |