Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 9
Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4331-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-4331-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 9
Data description paper
 | 
05 Sep 2025
Data description paper |  | 05 Sep 2025

A typology of global relief classes derived from digital elevation models at 1 arcsec resolution

Xin Yang, Sijin Li, Junfei Ma, Yang Chen, Xingyu Zhou, Fayuan Li, Liyang Xiong, Chenghu Zhou, Guoan Tang, and Michael E. Meadows

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Short summary
Surveys of global relief classes are important for understanding the morphology and land processes of Earth's surface. This study proposes a novel framework integrating the accumulated slope and a new surface relief index for global relief classification (GRC) with 1 arcsec resolution. This dataset can provide abundant and detailed land surface information for the field of Earth sciences.
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