Articles | Volume 17, issue 9
https://doi.org/10.5194/essd-17-4331-2025
https://doi.org/10.5194/essd-17-4331-2025
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

Data sets

Global Relief Clasess (GRC) Dataset Xin Yang et al. https://doi.org/10.5281/zenodo.15641257

Model code and software

GRC-code Xin Yang et al. https://github.com/nnu-dta/Global-Relief-Classes

Download
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.
Share
Altmetrics
Final-revised paper
Preprint