Improve dataset card: Update license, add task category, tags, paper link, and sample usage

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by nielsr HF Staff - opened
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- license: cc-by-4.0
 
 
 
 
 
 
 
 
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  ---
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  # Overview
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- This repository hosts curated data products used for evaluation and training in the article
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  *"Optimizing Methane Detection Onboard Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware."*
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  The dataset consists exclusively of products generated from 72 hyperspectral channels within the wavelength range of 2122–2488 nm. These products served as the training data for the models available [here](https://huggingface.co/onboard-coop/fast-methane-filters-models).
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- Using the codebase at [methane-filters-benchmark](https://github.com/zaitra/methane-filters-benchmark), you can reproduce these products or generate new ones with different numbers of channels, wavelength ranges, and customized selection strategies.
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- The original raw hyperspectral data required to create these products is publicly accessible at:
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  https://huggingface.co/collections/previtus/starcop-67f13cf30def71591f281a41
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  # Citation
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  If you use this dataset in your research, please cite our article:
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  ```bibtex
 
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+ license: cc-by-nc-4.0
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+ task_categories:
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+ - image-segmentation
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+ tags:
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+ - methane-detection
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+ - hyperspectral-imagery
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+ - satellite-imagery
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+ - climate-change
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+ - remote-sensing
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  ---
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+ # Paper | Code
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+
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+ [Optimizing Methane Detection On Board Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware](https://huggingface.co/papers/2507.01472) | [GitHub Repository](https://github.com/zaitra/methane-filters-benchmark)
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+
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  # Overview
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+ This repository hosts curated data products used for evaluation and training in the article
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  *"Optimizing Methane Detection Onboard Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware."*
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  The dataset consists exclusively of products generated from 72 hyperspectral channels within the wavelength range of 2122–2488 nm. These products served as the training data for the models available [here](https://huggingface.co/onboard-coop/fast-methane-filters-models).
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+ The original raw hyperspectral data required to create these products is publicly accessible at:
 
 
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  https://huggingface.co/collections/previtus/starcop-67f13cf30def71591f281a41
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+ ## Sample Usage (Notebook Demos)
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+ You can try out our demos directly in Google Colab:
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+ - <a href="https://colab.research.google.com/github/zaitra/methane-filters-benchmark/blob/main/ntbs/Models_demo.ipynb"> Models Demo <img src="https://colab.research.google.com/assets/colab-badge.svg" height=16px></a>
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+ Demonstrates model inference.
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+ - <a href="https://colab.research.google.com/github/zaitra/methane-filters-benchmark/blob/main/ntbs/Products_demo.ipynb"> Products Creation and Benchmarking Demo <img src="https://colab.research.google.com/assets/colab-badge.svg" height=16px></a>
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+ Demonstrates generating products and measuring their runtime.
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  # Citation
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  If you use this dataset in your research, please cite our article:
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  ```bibtex