EGU24-14569, updated on 09 Mar 2024
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Fine mapping of crop patterns in the North China Plain from 2013 ‒ 2022

Liang Dong1, Di Long1, Caijin Zhang1, Yingjie Cui1, and Bridget R. Scanlon2
Liang Dong et al.
  • 1Department of Hydraulic Engineering, Tsinghua University, Beijing, China (
  • 2Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, Texas, USA

A nuanced understanding of crop patterns is pivotal for accurate crop yield and irrigation water use calculations, holding profound implications for national food security and sustainable environmental development. In the water-scarce North China Plain (NCP), where agricultural intensity faces challenges due to groundwater suppression and ecological restoration, this study employs random forest classification on Sentinel-2 Multispectral Instrument (MSI) and Landsat 8 Operational Land Imagery (OLI) time series to reveal the spatial and temporal dynamics of crop patterns from 2013 to 2022. Our classification, featuring a finer scheme (nine categories), higher spatial resolution (10/30 m), and extensive field sampling points, aligns well with China's statistical yearbooks. The annual mapping exposes a shift towards economic forests, mainly from other food crops, across all NCP provinces. Distinct spatial patterns emerge, with wheat-maize rotation decreasing at higher latitudes, countered by an increase in single maize and economic forests. Despite these shifts, wheat-maize rotation remains dominant, and seasonal fallow is concentrated in regions with poor irrigation, notably in groundwater funnel areas. Overall, our crop pattern mapping provides a robust dataset for water conservation and land management, contributing to regional resilience planning.

How to cite: Dong, L., Long, D., Zhang, C., Cui, Y., and Scanlon, B. R.: Fine mapping of crop patterns in the North China Plain from 2013 ‒ 2022, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14569,, 2024.