Preprints
https://doi.org/10.5194/essd-2022-417
https://doi.org/10.5194/essd-2022-417
16 Jan 2023
 | 16 Jan 2023
Status: a revised version of this preprint is currently under review for the journal ESSD.

ChinaWheatYield30m: A 30-m annual winter wheat yield dataset from 2016 to 2021 in China

Yu Zhao, Shaoyu Han, Jie Zheng, Hanyu Xue, Zhenhai Li, Yang Meng, XuGang Li, Xiaodong Yang, Zhenhong Li, Shuhong Cai, and Guijun Yang

Abstract. Generating spatial crop yield information is of great significance for academic research and guiding agricultural policy. Most existing public yield datasets have a coarse spatial resolution. Although these datasets are useful for analyzing regional temporal and spatial change, they cannot deal with spatial heterogeneity, which happens to be the most significant characteristic of the Chinese small-scale farmers' economy. Hence, we generated a 30-m Chinese winter wheat yield dataset (ChinaWheatYield30m) for major winter wheat-producing provinces in China for the period 2016–2021 with a semi-mechanistic model (hierarchical linear model, HLM). The yield prediction model was built by considering the wheat growth status and climatic factors. It can estimate wheat yield with excellent accuracy and low cost using a combination of satellite observations and regional meteorological information (i.e., Landsat 8, Sentinel-2 and ERA5 data from the Google Earth Engine (GEE) platform). The results were validated by using in situ measurements and census statistics and indicated a stable performance of the HLM model based on calibration datasets across China, with r of 0.81** and nRMSE of 12.59 %. With regards to validation, the ChinaWheatYield30m dataset was highly consistent with in situ measurement data and census data, indicated by r (nRMSE) of 0.72** (15.34 %) and 0.73** (19.41 %). With its high spatial resolution and accuracy, the ChinaWheatYield30m is a valuable dataset that can support numerous applications, including crop production modeling and regional climate evaluation.

Yu Zhao et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-417', Anonymous Referee #1, 03 Feb 2023
    • AC1: 'Reply on RC1', Yu Zhao, 06 May 2023
  • RC2: 'Comment on essd-2022-417', Anonymous Referee #2, 24 Mar 2023
    • AC2: 'Reply on RC2', Yu Zhao, 06 May 2023

Yu Zhao et al.

Data sets

ChinaWheatYield30m: A 30-m annual winter wheat yield dataset from 2016 to 2021 in China Yu Zhao, Shaoyu Han, Jie Zheng, Hanyu Xue, Zhenhai Li, Yang Meng, Xuguang Li, Xiaodong Yang, Zhenhong Li, Shuhong Cai, Guijun Yang https://doi.org/10.5281/zenodo.7360753

Yu Zhao et al.

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Short summary
In the present study, we generated a 30m Chinese winter wheat yield from 2016 to 2021, called ChinaWheatYield30m. The dataset is with great accuracy in broad area. Also, it is the known highest resolution of yield dataset, such a dataset will provide basic knowledge of exquisite wheat yield distribution, which can be applied for many purposes including crop production modelling or regional climate evaluation.