 Multiple cropping systems are beneficial for grain yields, and satellite-derived NDVI time series can describe crop metrics and be used to obtain cropping information. A method combining spline interpolation and HANTS algorithms was proposed to reconstruct high-quality NDVI time series, which showed a high degree of consistency with statistical data and field sample data. The results also revealed that land use changes and mixed crop types within a pixel were the main sources of errors in the cropping index. This article was authored by Xiong Liang, WAN Dong Ma, Shui Yang Sway, and others.