Scientific Data (Feb 2024)

A 30-m annual corn residue coverage dataset from 2013 to 2021 in Northeast China

  • Yi Dong,
  • Fu Xuan,
  • Xianda Huang,
  • Ziqian Li,
  • Wei Su,
  • Jianxi Huang,
  • Xuecao Li,
  • Wancheng Tao,
  • Hui Liu,
  • Jiezhi Chen

DOI
https://doi.org/10.1038/s41597-024-02998-7
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 14

Abstract

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Abstract Crop residue cover plays a key role in the protection of black soil by covering the soil in the non-growing season against wind erosion and chopping for returning to the soil to increase organic matter in the future. Although there are some studies that have mapped the crop residue coverage by remote sensing technique, the results are mainly on a small scale, limiting the generalizability of the results. In this study, we present a novel corn residue coverage (CRC) dataset for Northeast China spanning the years 2013–2021. The aim of our dataset is to provide a basis to describe and monitor CRC for black soil protection. The accuracy of our estimation results was validated against previous studies and measured data, demonstrating high accuracy with a coefficient of determination (R2) of 0.7304 and root mean square error (RMSE) of 0.1247 between estimated and measured CRC in field campaigns. In addition, it is the first of its kind to offer the longest time series, enhancing its significance in long-term monitoring and analysis.