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June 1, 2026International Journal of Applied Earth Observation and GeoinformationOpen Access

GlobalWR-2025: The first global 10-meter winter rapeseed dataset developed by knowledge-guided temporal features

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Authors

FCFeifei ChengYPYufeng PengBQBingwen Qiu

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Overview

Randomized trial demonstrates a new method for mapping winter rapeseed globally, suggesting enhanced agricultural monitoring.

Key Points

  • This research aims to develop a global dataset for winter rapeseed using knowledge-guided temporal features.
  • Developed a global 10 m winter rapeseed map for 2025 using optical-SAR temporal features.
  • Employed the WROS algorithm to analyze mapping accuracy.
  • Utilized time-series maps to assess changes in winter rapeseed due to conflict in Ukraine.
  • Achieved an overall mapping accuracy of 92.21%.
  • Identified the peak of winter rapeseed in 2023 and observed contraction due to conflict-related impacts in Ukraine.

Cite This Study

Cheng et al. (2026) studied this question.

synapsesocial.com/papers/6a1d218f02fbce9130637963https://doi.org/10.1016/j.jag.2026.105365
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