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@@ -28,9 +28,10 @@ This integration of temporal information assists in distinguishing between diffe
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  Notably, we aligned the year of the Sentinel Time Series with that of the aerial patch if it was 2017 or later.
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  For preceding years, considering minimal changes in the forest and the need for sufficient temporal context, we specifically chose the year 2017.
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  The dataset is utilized in the paper [MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data](https://huggingface.co/papers/2508.10894). The code for MAESTRO can be found at: https://github.com/ignf/maestro
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  Notably, we aligned the year of the Sentinel Time Series with that of the aerial patch if it was 2017 or later.
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  For preceding years, considering minimal changes in the forest and the need for sufficient temporal context, we specifically chose the year 2017.
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+ </div>
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  The dataset is utilized in the paper [MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data](https://huggingface.co/papers/2508.10894). The code for MAESTRO can be found at: https://github.com/ignf/maestro
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  ****
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