Analysis of the spatio-temporal variation in the plant productivity of grazed pastures using field hyperspectral measurements

为了分析放牧草地植物生产力的时空变化，采用基于地统计学分析的地面高光谱测量方法。通过高光谱测量(350-1050 nm)和偏最小二乘回归模型，可以估算试验草地的地上牧草生物量。在假设牧草生物量按Verhulst Logistic模型生长的前提下，估算了草地各测点的植物生产力。结果表明，牧草生物量和植物生产力在初夏达到最大值，随着放牧季节的推移，生物量和植物生产力下降。秋季牧草生物量和植物生产力的空间分布比夏季更为均匀。

To analyze the spatiotemporal variation in the plant productivity of grazed pasture, a ground-based hyperspectral measurement with geostatistical analysis was conducted. Above-ground herbage biomass in an experimental pasture can be estimated from the hyperspectral measurement (350-1050nm) and the partial least squares regression model. Assumed that herbage biomass grows according to the Verhulst's logistic model, the plant productivity was estimated in every measurement point in the pasture. The results indicated that the herbage biomass and plant productivity reached their maximum values in early summer, and decreased as grazing season progressed. The spacial distributions of herbage biomass and plant productivity became more homogeneous in autumn than in summer.