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  # UniTS_TS-S12&TS-S12CR
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- [[Paper 📰]](https://arxiv.org/) [[Project Page ✨]](https://yuxiangzhang-bit.github.io/UniTS-website/)
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  We construct two high-quality multimodal time-series datasets, namely TS-S12 and TS-S12CR. Among them, TS-S12 and TS-S12CR contain Sentinel-1 with 2 channels (VV and VH) and Sentinel-2 imagery with 10 spectral bands (excluding B1 Aerosols, B9 Water Vapor, and B10 Cirrus) from 14,973 and 12,126 ROIs around the world, respectively.
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  <img src="assets/dataset.png" style="max-width: 100%; height: auto;">
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  If you use TS-S12&TS-S12CR datasets, please cite:
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  ```bibtex
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- @article{,
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-
 
 
 
 
 
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  }
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  ```
 
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  # UniTS_TS-S12&TS-S12CR
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+ [[Paper 📰]](https://arxiv.org/abs/2512.04461) [[Project Page ✨]](https://yuxiangzhang-bit.github.io/UniTS-website/)
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  We construct two high-quality multimodal time-series datasets, namely TS-S12 and TS-S12CR. Among them, TS-S12 and TS-S12CR contain Sentinel-1 with 2 channels (VV and VH) and Sentinel-2 imagery with 10 spectral bands (excluding B1 Aerosols, B9 Water Vapor, and B10 Cirrus) from 14,973 and 12,126 ROIs around the world, respectively.
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  <img src="assets/dataset.png" style="max-width: 100%; height: auto;">
 
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  If you use TS-S12&TS-S12CR datasets, please cite:
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  ```bibtex
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+ @article{zhang2025unitsunifiedtimeseries,
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+ title={UniTS: Unified Time Series Generative Model for Remote Sensing},
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+ author={Yuxiang Zhang and Shunlin Liang and Wenyuan Li and Han Ma and Jianglei Xu and Yichuan Ma and Jiangwei Xie and Wei Li and Mengmeng Zhang and Ran Tao and Xiang-Gen Xia},
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+ year={2025},
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+ eprint={2512.04461},
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+ archivePrefix={arXiv},
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+ url={https://arxiv.org/abs/2512.04461},
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  }
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  ```