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Upscaling CO2 fluxes from agricultural drained lowland peatlands in England using remote sensing and machine learning
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DOI：10.1016/j.rsase.2025.101728.png)
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Abstract
En 中文
• Drained agricultural peatlands provide food security but are significant CO2 sources. • Field-based monitoring of emissions is costly and complex to upscale. • Remote sensing-based modelling predicts drained peatland fluxes with 77% accuracy. • Study presents the first field-scale emission map of the Fenland (England). • Findings aid peatland restoration, CO2 flux modelling, and UK Net Zero policies.
Keywords:
Carbon fluxes
Agricultural monitoring
Lowland peatland
Drainage
Machine learning
Remote sensing
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