Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 2
Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-351-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-351-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 2
Data description paper
 | 
03 Feb 2025
Data description paper |  | 03 Feb 2025

A Sentinel-2 machine learning dataset for tree species classification in Germany

Maximilian Freudenberg, Sebastian Schnell, and Paul Magdon

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Short summary
Classifying tree species in satellite images is an important task for environmental monitoring and forest management. Here we present a dataset containing Sentinel-2 satellite pixel time series of individual trees intended for training machine learning models. The dataset was created by merging information from the German National Forest Inventory in 2012 with satellite data. It sparsely covers the whole of Germany for the years 2015 to 2022 and comprises 48 species and 3 species groups.
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