A 30&thinsp;m resolution dataset of soil and water conservation terraces across China for 2000, 2010, and 2020

Zhang, Enwei; Chen, Yueli; Wei, Shengzhao; Liu, Chenli; Wang, Hongna; Deng, Bowen; Lin, Honghong; Yang, Xue; Li, Yawen; Duan, Xingwu

doi:10.5194/essd-17-6315-2025

Articles | Volume 17, issue 11

https://doi.org/10.5194/essd-17-6315-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-6315-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 11

Data description paper

|

21 Nov 2025

Data description paper |

| 21 Nov 2025

A 30 m resolution dataset of soil and water conservation terraces across China for 2000, 2010, and 2020

Enwei Zhang, Yueli Chen, Shengzhao Wei, Chenli Liu, Hongna Wang, Bowen Deng, Honghong Lin, Xue Yang, Yawen Li, and Xingwu Duan

Supplement

https://doi.org/10.5194/essd-17-6315-2025-supplement

Data sets

The soil and water conservation terrace measures in China (2000-2020) Enwei Zhang et al. https://doi.org/10.11888/Terre.tpdc.302400

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Short summary

We produced the first soil and water conservation terrace measures dataset with a fine classification system on Google Earth Engine platform. This dataset included terrace data and soil and water conservation measure factor values, covering the period from 2000 to 2020. The terraces are categorized into level terrace, slope terrace, zig terrace, and slope-separated terrace. The results showed that the average overall accuracy of the terrace was 91.7 % and the average F1 score was 83.3 %.