Interpretable minimal-input reference evapotranspiration modeling for smart agriculture in data-scarce regions: Integrating reconstructed land surface temperature and air temperature

European Journal of Agronomy一手来源 · 原始研究11月7日 · 周六阅读 0

核心看点

提出融合重建地表温度与气温的少输入可解释参考蒸散模型，面向缺数据地区智慧灌溉，方法有增量但属细分领域论文。

关注点

该研究用重建地表温度替代传统多气象输入估算参考蒸散量，适用于气象站点稀疏地区的灌溉决策，但精度与可迁移性需在本地数据上验证。

发布主体的原始资料；自述数据与结论仍以原文限定为准。

论文信息

Hanmi Zhou / Sibo Lu / Jichen Li 等 11 人

European Journal of Agronomy

DOI: 10.1016/j.eja.2026.128418 OpenAlex 档案

论文摘要

Interpretable minimal-input reference evapotranspiration modeling for smart agriculture in data-scarce regions: Integrating reconstructed land surface temperature and air temperature。European Journal of Agronomy

论文原文与出版信息

European Journal of Agronomy

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智慧农业地表温度参考蒸散量缺数据地区

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