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@@ -11,4 +11,4 @@ Sentinel-1 and Sentinel-2 1. The dataset contains labels of 20 European tree spe
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  The authors propose models and guidelines for the application of the latest machine learning techniques for the task of tree species classification with multi-label data.
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  Finally, they provide various benchmark experiments showcasing the information which can be derived from the different sensors including artificial neural networks and tree-based machine learning methods.
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- While the original dataset only provides access to one Sentinel-1 & -2 image for each patch, this time-series dataset collects all the available Sentinel-1 & -2 data spanning the same year for each patch.
 
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  The authors propose models and guidelines for the application of the latest machine learning techniques for the task of tree species classification with multi-label data.
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  Finally, they provide various benchmark experiments showcasing the information which can be derived from the different sensors including artificial neural networks and tree-based machine learning methods.
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+ While the original dataset only provides access to one Sentinel-1 & -2 image for each patch, this time-series dataset collects all the available Sentinel-1 & -2 data spanning the same year for each aerial patch.