A Study on Monitoring and Predicting Models of Grass Yield in Natural Grassland
天然草地牧草产量遥感综合监测预测模型研究

Using grass spectral data, yield data, meteorological data and NOAA/AVHRR data of natural grassland, grass yield monitoring models using remote sensing and meteorological data are established. These models can provide grass yield during growth period and this is very useful to direct animal husbandry production. The grass yield predicting models using NOAA/AVHRR and meteorological data are established. These models can provide grass yield in advance, and this is very important to arrange animal husbandry production. Meteorological models are more accurate, but these models can only estimate the grass yield at limit locations. Remote sensing models can estimate the grass yield an any location. Therefore, the monitoring and predicting results are reliable if meteorological models and remote sensing models are used together. The estimated results after 1995 show that these models can meet the needs of operational services.