Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 3
Articles | Volume 18, issue 3
https://doi.org/10.5194/essd-18-2413-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-2413-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 3
Data description article
 | 
02 Apr 2026
Data description article |  | 02 Apr 2026

NortheastChinaSoybeanYield20m: an annual soybean yield dataset at 20 m in Northeast China from 2019 to 2023

Jingyuan Xu, Xin Du, Taifeng Dong, Qiangzi Li, Yuan Zhang, Hongyan Wang, Jing Xiao, Jiashu Zhang, Yunqi Shen, and Yong Dong

Viewed

Total article views: 3,008 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,854 1,066 88 3,008 77 121
  • HTML: 1,854
  • PDF: 1,066
  • XML: 88
  • Total: 3,008
  • BibTeX: 77
  • EndNote: 121
Views and downloads (calculated since 08 Jan 2025)
Cumulative views and downloads (calculated since 08 Jan 2025)

Viewed (geographical distribution)

Total article views: 3,008 (including HTML, PDF, and XML) Thereof 2,981 with geography defined and 27 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 10 May 2026
Download
Short summary
This study proposed a 20 m soybean yield dataset in Northeast China (NortheastChinaSoybeanYield20m) from 2019 to 2023 using a hybrid framework coupling crop growth model with deep learning algorithm. Stable results were achieved through the years. The overall accuracy of the dataset was 287.44 and 272.36 kg ha–1 in the root mean squared error for field and regional scale, respectively. The study satisfied the urgent demands for precise control of crop yield information.
Read more
Share
Altmetrics
Final-revised paper
Preprint