Abstract: Highlights•Used machine learning to predict plant traits of differently managed grasslands.•An accurate prediction of leaf area index and pigments in intensive grasslands.•Model performance deteriorates in extensive, species-rich grasslands.•Assumption of a homogeneous canopy structure limits the prediction accuracy.•Potential for monitoring grassland management using hyperspectral data.
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