Articles | Volume 13, issue 5
Earth Syst. Sci. Data, 13, 2437–2456, 2021
https://doi.org/10.5194/essd-13-2437-2021
Earth Syst. Sci. Data, 13, 2437–2456, 2021
https://doi.org/10.5194/essd-13-2437-2021

Data description paper 01 Jun 2021

Data description paper | 01 Jun 2021

A 30 m terrace mapping in China using Landsat 8 imagery and digital elevation model based on the Google Earth Engine

Bowen Cao et al.

Data sets

A 30-meter terrace mapping in China using Landsat 8 imagery and digital elevation model based on the Google Earth Engine Bowen Cao, Le Yu, Victoria Naipal, Philippe Ciais, Wei Li, Yuanyuan Zhao, Wei Wei, Die Chen, Zhuang Liu, and Peng Gong https://doi.org/10.5281/zenodo.3895585

Download
Short summary
In this study, the first 30 m resolution terrace map of China was developed through supervised pixel-based classification using multisource, multi-temporal data based on the Google Earth Engine platform. The classification performed well with an overall accuracy of 94 %. The terrace mapping algorithm can be used to map large-scale terraces in other regions globally, and the terrace map will be valuable for studies on soil erosion, carbon cycle, and ecosystem service assessments.