基于遥感信息的江苏水稻生长发育监测

imely and accurate monitoring of rice growth may strengthen field management level and improve the service ability of agricultural modernization. According to the MODIS data and growth and development data in Jiangsu rice planting area, selected vegetation index EVI was used to inverse the value of LAI in 2010. The inversed result agreed the ground observations of LAI. By extracting the MODIS-EVI index time series and using Savizky-Golay filter to remove noise, the identification of five main rice stages was realized according to the rice in the EVI index. It was verified by the observation data of rice from the local agriculture meteorological stations. The rice growth stage recognition algorithm was applied to each pixel, and the rice seedling stage, transplanting stage, young panicle differentiation stage, heading stage and maturity distribution map of Jiangsu area was appeared in 2010. The method can effectively extract the main growth period of rice, and provide reference for regional rice growth dynamic monitoring.