Abstract:

〗Multiple Cropping Index is a very important indicator in agricultural statistic in China,which represents the degree of utilizing agriculture resources at time scale and the situation of arable land effective using.The time series of EVI contain the rhythm of vegetation growth and wilting,and can accurately reflect the biophysical processes of planting,seedling,elongating, heading and harvesting of agricultural crops.The objective of this paper is monitoring Multiple Cropping Index of Central China according to the period of time series of MODISEVI after SavitzkyGolay filter processing from 2005 to 2008.The results revealed that this method could provide an effective way to monitor Multiple Cropping Index.Results are accurate and stable.The slope of linear regression of the Multiple Cropping Index between remote sensing data and statistical data was 11097（〖WTBX〗R2=0759,P〖WTBZ〗<00001).The total precision of sample validation based on visual identification was 924% and precision of sampling areas based on visual identification was 9791%,suggesting that according to the period of time series of MODISEVI it could provide an effective way to extracting spatial information of the Multiple Cropping Index for management department of agriculture.