Towards automation of national scale cropping pattern mapping by coupling Sentinel-1/2 data: A 10-m map of crop rotation systems for wheat in China

Bingwen Qiu, Zhengrong Li, Peng Yang, Wenbin Wu, Xuehong Chen, Bingfang Wu, Miao Zhang, Yuanlin Duan, Syahrul Kurniawan, Piotr Tryjanowski and Viktoria Takacs

Agricultural Systems, 2025, vol. 227, issue C

Abstract: Wheat, as the world's largest cereal crop, contributes significantly to agricultural intensification through crop rotation systems. Updated knowledge of cropping patterns (CP) describing crop rotations is crucial for the development of sustainable agricultural systems. However, there is a gap in data availability and finer resolution CP maps are not available for most countries, which hampers our knowledge of geographically targeted crop rotation for sustainable management. It is challenging to automatically map CP at large scales due to the lack of ground-truth datasets, the complexity of crop rotation systems, and the limited applicability of existing algorithms.

Keywords: Cropping pattern mapping; Wheat; Sentinel-1/2; National-scale; Google earth engine (GEE) (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:227:y:2025:i:c:s0308521x25000782

DOI: 10.1016/j.agsy.2025.104338

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