Winter Wheat Mapping from Landsat NDVI Time Series Data Using Time-Weighted Dynamic Time Warping and Phenological Rules

Winter wheat occupies an important position in agricultural production and national economy. In this study, we proposed a new method of winter wheat mapping that combined time-weighted dynamic time warping (TWDTW) and phenological rules from Landsat NDVI time series data. The proposed method was evaluated in winter wheat mapping using Landsat time series data in Beijing and Hebei Province, China. The experimental results obtained showed that the proposed method outperformed the existing method in mapping winter wheat with an acceptable accuracy.