Remote sensing has shown potential to provide accurate and real-time information on grassland forage quality, crucial for the management of livestock systems. However, there are still uncertainties that must be considered to make models reliable and practical. A source of discrepancy regards the measurement unit describing forage quality variables, namely either mass-based concentration (%) or mass per surface area content (kg ha−1). Furthermore, phenological patterns largely influence grassland reflectance and have a strong impact on model accuracy. Also, the generalisation of empirical models in heterogeneous grasslands can hinder their applicability.

中文翻译：

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使用高光谱反射率预测地中海草原牧草质量：浓度与含量、物候和模型的泛化


遥感技术已显示出提供准确和实时的草原牧草质量信息的潜力，这对畜牧系统的管理至关重要。然而，要使模型可靠和实用，必须考虑仍然存在不确定性。差异的来源是描述饲料质量变量的测量单位，即基于质量的浓度 （%） 或单位表面积含量的质量 （kg ha-1）。此外，物候模式在很大程度上影响草原反射率，对模型精度有很大影响。此外，经验模型在异质草原中的泛化也会阻碍其适用性。