Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 2
Articles | Volume 18, issue 2
https://doi.org/10.5194/essd-18-1379-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-1379-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 2
Data description article
 | 
24 Feb 2026
Data description article |  | 24 Feb 2026

GlobalGeoTree: a multi-granular vision-language dataset for global tree species classification

Yang Mu, Zhitong Xiong, Yi Wang, Muhammad Shahzad, Franz Essl, Holger Kreft, Mark van Kleunen, and Xiao Xiang Zhu

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Short summary
To better protect our planet's forests, we need to know what trees are where. We created GlobalGeoTree, a massive public dataset linking 6.3 million tree locations worldwide with satellite data. This dataset helps computers learn to identify tree species from space, supporting biodiversity monitoring and climate action. Our baseline model shows this is a promising path to understanding global forests.
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