A Study on Monitoring and Predicting Models of Grass Yield in Natural Grassland Using Remote Sensing Data and Meteorological Data[J]. Journal of Remote Sensing, 2001, (1): 69-74. DOI: 10.11834/jrs.20010113.
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.