A Study on the growth prediction of Forage Grass in Naqu in Tibet based on season-al time series model
Wang Shule
Luo Weiqun
Zhao Yimin
Gasang Jiumei
Abstract：In order to protect the ecological environment of Xizang and understand the growth of forage,the 16-day synthetic MODIS data provided by NASA was used to predict the normalized vegetation index(NDVI)to better eval-uate the growth of forage by using the NDVI as the growth cover characteristic index of forage.Taking the NDVI in Naqu City as an example,the ARIMA and SARIMA models were used for prediction.The results showed that the SARIMA model had good accuracy in prediction and could better evaluate the growth of the forage grass.
Keywords：NDVISeasonal time series modelForecastXizang Naqu
Publication Date：2024-01-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 76-80 )